2024-12-17T23:43:22.7853073Z Current runner version: '2.321.0' 2024-12-17T23:43:22.7860325Z Runner name: 'i-0667d3e1c026d2cb1' 2024-12-17T23:43:22.7861298Z Runner group name: 'Default' 2024-12-17T23:43:22.7862333Z Machine name: 'ip-10-0-10-119' 2024-12-17T23:43:22.7866904Z ##[group]GITHUB_TOKEN Permissions 2024-12-17T23:43:22.7870006Z Actions: read 2024-12-17T23:43:22.7870691Z Attestations: read 2024-12-17T23:43:22.7871334Z Checks: read 2024-12-17T23:43:22.7871963Z Contents: read 2024-12-17T23:43:22.7872538Z Deployments: read 2024-12-17T23:43:22.7873182Z Discussions: read 2024-12-17T23:43:22.7873869Z Issues: read 2024-12-17T23:43:22.7874479Z Metadata: read 2024-12-17T23:43:22.7875055Z Packages: read 2024-12-17T23:43:22.7875699Z Pages: read 2024-12-17T23:43:22.7876318Z PullRequests: read 2024-12-17T23:43:22.7876947Z RepositoryProjects: read 2024-12-17T23:43:22.7877682Z SecurityEvents: read 2024-12-17T23:43:22.7878292Z Statuses: read 2024-12-17T23:43:22.7878880Z ##[endgroup] 2024-12-17T23:43:22.7882462Z Secret source: Actions 2024-12-17T23:43:22.7883436Z Prepare workflow directory 2024-12-17T23:43:22.8384767Z Prepare all required actions 2024-12-17T23:43:22.8424932Z Getting action download info 2024-12-17T23:43:23.0749975Z Download action repository 'pytorch/test-infra@release/2.6' (SHA:eb0adf5a84668865394af69e26428b32c8105c1c) 2024-12-17T23:43:24.8651930Z Download action repository 'pytorch/pytorch@release/2.6' (SHA:0cdf8b1d09254cfda66191d1bd01e3041c3c76f7) 2024-12-17T23:43:38.4660371Z Download action repository 'aws-actions/configure-aws-credentials@v3' (SHA:50ac8dd1e1b10d09dac7b8727528b91bed831ac0) 2024-12-17T23:43:38.6491463Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2024-12-17T23:43:38.9319427Z Getting action download info 2024-12-17T23:43:39.0370659Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2024-12-17T23:43:39.2945644Z Getting action download info 2024-12-17T23:43:39.3977281Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2024-12-17T23:43:39.5831563Z Getting action download info 2024-12-17T23:43:39.7039443Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2024-12-17T23:43:39.8833360Z Getting action download info 2024-12-17T23:43:40.0426721Z Download action repository 'pytorch/test-infra@main' (SHA:a07505a74641a4ff5123d635defac481ef28ef1e) 2024-12-17T23:43:41.5848506Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/release/2.6 (0cdf8b1d09254cfda66191d1bd01e3041c3c76f7) 2024-12-17T23:43:41.5850688Z ##[group] Inputs 2024-12-17T23:43:41.5851056Z build-environment: linux-focal-py3.12-clang10 2024-12-17T23:43:41.5853386Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]} 2024-12-17T23:43:41.5856014Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:43:41.5856759Z sync-tag: 2024-12-17T23:43:41.5857568Z timeout-minutes: 600 2024-12-17T23:43:41.5857849Z use-gha: 2024-12-17T23:43:41.5858323Z dashboard-tag: 2024-12-17T23:43:41.5858573Z s3-bucket: gha-artifacts 2024-12-17T23:43:41.5858867Z aws-role-to-assume: 2024-12-17T23:43:41.5859507Z disable-monitor: false 2024-12-17T23:43:41.5860023Z ##[endgroup] 2024-12-17T23:43:41.5860554Z Complete job name: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:43:41.6333570Z A job started hook has been configured by the self-hosted runner administrator 2024-12-17T23:43:41.6431848Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2024-12-17T23:43:41.6440683Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:43:41.6441347Z ##[endgroup] 2024-12-17T23:43:42.7407630Z Runner Type: linux.4xlarge 2024-12-17T23:43:42.7408148Z Instance Type: c5.4xlarge 2024-12-17T23:43:42.7408444Z AMI Name: unknown 2024-12-17T23:43:42.7436652Z AMI ID: ami-0fff1b9a61dec8a5f 2024-12-17T23:43:48.4459906Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@release/2.6 2024-12-17T23:43:48.4460407Z with: 2024-12-17T23:43:48.4461090Z github-secret: *** 2024-12-17T23:43:48.4461840Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2024-12-17T23:43:48.4462655Z activate-with-label: false 2024-12-17T23:43:48.4462948Z label: with-ssh 2024-12-17T23:43:48.4463197Z remove-existing-keys: true 2024-12-17T23:43:48.4463492Z fail-silently: true 2024-12-17T23:43:48.4463749Z env: 2024-12-17T23:43:48.4463975Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:43:48.4464257Z ##[endgroup] 2024-12-17T23:43:48.5639165Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2024-12-17T23:43:48.5641024Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2024-12-17T23:43:48.5762651Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@release/2.6 2024-12-17T23:43:48.5763144Z with: 2024-12-17T23:43:48.5763363Z no-sudo: true 2024-12-17T23:43:48.5763618Z submodules: recursive 2024-12-17T23:43:48.5763905Z fetch-depth: 0 2024-12-17T23:43:48.5764154Z env: 2024-12-17T23:43:48.5764368Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:43:48.5764650Z ##[endgroup] 2024-12-17T23:43:48.5842521Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:43:48.5843518Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:43:48.5852278Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:43:48.5852685Z env: 2024-12-17T23:43:48.5852905Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:43:48.5853184Z ##[endgroup] 2024-12-17T23:43:48.5939130Z ##[group]Run retry () { 2024-12-17T23:43:48.5939444Z retry () { 2024-12-17T23:43:48.5939832Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2024-12-17T23:43:48.5940283Z } 2024-12-17T23:43:48.5940540Z echo "${GITHUB_WORKSPACE}" 2024-12-17T23:43:48.5940887Z if [ -z "${NO_SUDO}" ]; then 2024-12-17T23:43:48.5941253Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2024-12-17T23:43:48.5941625Z else 2024-12-17T23:43:48.5941890Z  retry rm -rf "${GITHUB_WORKSPACE}" 2024-12-17T23:43:48.5942230Z fi 2024-12-17T23:43:48.5942482Z mkdir "${GITHUB_WORKSPACE}" 2024-12-17T23:43:48.5947862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:43:48.5948265Z env: 2024-12-17T23:43:48.5948484Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:43:48.5948763Z NO_SUDO: true 2024-12-17T23:43:48.5949002Z ##[endgroup] 2024-12-17T23:43:48.5971462Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-17T23:43:48.6053943Z ##[group]Run malfet/checkout@silent-checkout 2024-12-17T23:43:48.6054342Z with: 2024-12-17T23:43:48.6054617Z ref: 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:43:48.6054970Z fetch-depth: 0 2024-12-17T23:43:48.6055228Z submodules: recursive 2024-12-17T23:43:48.6055491Z quiet-checkout: true 2024-12-17T23:43:48.6055776Z repository: pytorch/pytorch 2024-12-17T23:43:48.6056184Z token: *** 2024-12-17T23:43:48.6056621Z ssh-strict: true 2024-12-17T23:43:48.6056887Z persist-credentials: true 2024-12-17T23:43:48.6057173Z clean: true 2024-12-17T23:43:48.6057419Z sparse-checkout-cone-mode: true 2024-12-17T23:43:48.6057729Z lfs: false 2024-12-17T23:43:48.6058177Z set-safe-directory: true 2024-12-17T23:43:48.6058458Z env: 2024-12-17T23:43:48.6058683Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:43:48.6058959Z ##[endgroup] 2024-12-17T23:43:48.6865594Z Syncing repository: pytorch/pytorch 2024-12-17T23:43:48.6867008Z ##[group]Getting Git version info 2024-12-17T23:43:48.6867524Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-12-17T23:43:48.6868229Z [command]/usr/bin/git version 2024-12-17T23:43:48.6868522Z git version 2.40.1 2024-12-17T23:43:48.6872357Z ##[endgroup] 2024-12-17T23:43:48.6884453Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fd9f82c2-d9b3-44d4-8269-318a3e713775' before making global git config changes 2024-12-17T23:43:48.6885440Z Adding repository directory to the temporary git global config as a safe directory 2024-12-17T23:43:48.6888001Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-17T23:43:48.6912893Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2024-12-17T23:43:48.6915611Z ##[group]Initializing the repository 2024-12-17T23:43:48.6917921Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-17T23:43:48.6940710Z hint: Using 'master' as the name for the initial branch. This default branch name 2024-12-17T23:43:48.6941342Z hint: is subject to change. To configure the initial branch name to use in all 2024-12-17T23:43:48.6941934Z hint: of your new repositories, which will suppress this warning, call: 2024-12-17T23:43:48.6942370Z hint: 2024-12-17T23:43:48.6942672Z hint: git config --global init.defaultBranch 2024-12-17T23:43:48.6943047Z hint: 2024-12-17T23:43:48.6943402Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2024-12-17T23:43:48.6944005Z hint: 'development'. The just-created branch can be renamed via this command: 2024-12-17T23:43:48.6944465Z hint: 2024-12-17T23:43:48.6944701Z hint: git branch -m 2024-12-17T23:43:48.6945218Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2024-12-17T23:43:48.6950728Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2024-12-17T23:43:48.6973294Z ##[endgroup] 2024-12-17T23:43:48.6973775Z ##[group]Disabling automatic garbage collection 2024-12-17T23:43:48.6975638Z [command]/usr/bin/git config --local gc.auto 0 2024-12-17T23:43:48.6995655Z ##[endgroup] 2024-12-17T23:43:48.6996067Z ##[group]Setting up auth 2024-12-17T23:43:48.7000318Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-12-17T23:43:48.7020940Z [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' || :" 2024-12-17T23:43:48.7282675Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2024-12-17T23:43:48.7302678Z [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' || :" 2024-12-17T23:43:48.7548488Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-12-17T23:43:48.7581475Z ##[endgroup] 2024-12-17T23:43:48.7581947Z ##[group]Fetching the repository 2024-12-17T23:43:48.7586947Z [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/* 2024-12-17T23:43:51.3277644Z remote: Enumerating objects: 1056409 2024-12-17T23:43:51.3278199Z remote: Enumerating objects: 1057229, done. 2024-12-17T23:43:51.3278951Z remote: 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(706/820) 2024-12-17T23:43:51.3312594Z remote: Counting objects: 87% (714/820) 2024-12-17T23:43:51.3312967Z remote: Counting objects: 88% (722/820) 2024-12-17T23:43:51.3313349Z remote: Counting objects: 89% (730/820) 2024-12-17T23:43:51.3313731Z remote: Counting objects: 90% (738/820) 2024-12-17T23:43:51.3314115Z remote: Counting objects: 91% (747/820) 2024-12-17T23:43:51.3314504Z remote: Counting objects: 92% (755/820) 2024-12-17T23:43:51.3314872Z remote: Counting objects: 93% (763/820) 2024-12-17T23:43:51.3315258Z remote: Counting objects: 94% (771/820) 2024-12-17T23:43:51.3315635Z remote: Counting objects: 95% (779/820) 2024-12-17T23:43:51.3316016Z remote: Counting objects: 96% (788/820) 2024-12-17T23:43:51.3316396Z remote: Counting objects: 97% (796/820) 2024-12-17T23:43:51.3316763Z remote: Counting objects: 98% (804/820) 2024-12-17T23:43:51.3317145Z remote: Counting objects: 99% (812/820) 2024-12-17T23:43:51.3317523Z remote: Counting objects: 100% (820/820) 2024-12-17T23:43:51.3317927Z remote: Counting objects: 100% (820/820), done. 2024-12-17T23:43:51.3364043Z remote: Compressing objects: 0% (1/315) 2024-12-17T23:43:51.3398851Z remote: Compressing objects: 1% (4/315) 2024-12-17T23:43:51.3441693Z remote: Compressing objects: 2% (7/315) 2024-12-17T23:43:51.3513316Z remote: Compressing objects: 3% (10/315) 2024-12-17T23:43:51.3533932Z remote: Compressing objects: 4% (13/315) 2024-12-17T23:43:51.3851449Z remote: Compressing objects: 5% (16/315) 2024-12-17T23:43:51.4304056Z remote: Compressing objects: 6% (19/315) 2024-12-17T23:43:51.4813676Z remote: Compressing objects: 7% (23/315) 2024-12-17T23:43:51.5402238Z remote: Compressing objects: 8% (26/315) 2024-12-17T23:43:51.5838363Z remote: Compressing objects: 9% (29/315) 2024-12-17T23:43:51.6141924Z remote: Compressing objects: 10% (32/315) 2024-12-17T23:43:51.6246682Z remote: Compressing objects: 11% (35/315) 2024-12-17T23:43:51.6370950Z remote: Compressing objects: 12% (38/315) 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(126/315) 2024-12-17T23:43:51.6551360Z remote: Compressing objects: 41% (130/315) 2024-12-17T23:43:51.6551760Z remote: Compressing objects: 42% (133/315) 2024-12-17T23:43:51.6556124Z remote: Compressing objects: 43% (136/315) 2024-12-17T23:43:51.6560348Z remote: Compressing objects: 44% (139/315) 2024-12-17T23:43:51.6560756Z remote: Compressing objects: 45% (142/315) 2024-12-17T23:43:51.6564817Z remote: Compressing objects: 46% (145/315) 2024-12-17T23:43:51.6567346Z remote: Compressing objects: 47% (149/315) 2024-12-17T23:43:51.6570068Z remote: Compressing objects: 48% (152/315) 2024-12-17T23:43:51.6570458Z remote: Compressing objects: 49% (155/315) 2024-12-17T23:43:51.6607935Z remote: Compressing objects: 50% (158/315) 2024-12-17T23:43:51.6608527Z remote: Compressing objects: 51% (161/315) 2024-12-17T23:43:51.6609143Z remote: Compressing objects: 52% (164/315) 2024-12-17T23:43:51.6609706Z remote: Compressing objects: 53% (167/315) 2024-12-17T23:43:51.6610538Z remote: Compressing 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Compressing objects: 68% (215/315) 2024-12-17T23:43:51.6620553Z remote: Compressing objects: 69% (218/315) 2024-12-17T23:43:51.6621207Z remote: Compressing objects: 70% (221/315) 2024-12-17T23:43:51.6621865Z remote: Compressing objects: 71% (224/315) 2024-12-17T23:43:51.6622531Z remote: Compressing objects: 72% (227/315) 2024-12-17T23:43:51.6623345Z remote: Compressing objects: 73% (230/315) 2024-12-17T23:43:51.6624008Z remote: Compressing objects: 74% (234/315) 2024-12-17T23:43:51.6624627Z remote: Compressing objects: 75% (237/315) 2024-12-17T23:43:51.6625032Z remote: Compressing objects: 76% (240/315) 2024-12-17T23:43:51.6626564Z remote: Compressing objects: 77% (243/315) 2024-12-17T23:43:51.6626965Z remote: Compressing objects: 78% (246/315) 2024-12-17T23:43:51.6627665Z remote: Compressing objects: 79% (249/315) 2024-12-17T23:43:51.6628064Z remote: Compressing objects: 80% (252/315) 2024-12-17T23:43:51.6630336Z remote: Compressing objects: 81% (256/315) 2024-12-17T23:43:51.6631596Z remote: Compressing objects: 82% (259/315) 2024-12-17T23:43:51.6632923Z remote: Compressing objects: 83% (262/315) 2024-12-17T23:43:51.6634744Z remote: Compressing objects: 84% (265/315) 2024-12-17T23:43:51.6636407Z remote: Compressing objects: 85% (268/315) 2024-12-17T23:43:51.6638671Z remote: Compressing objects: 86% (271/315) 2024-12-17T23:43:51.6640104Z remote: Compressing objects: 87% (275/315) 2024-12-17T23:43:51.6641498Z remote: Compressing objects: 88% (278/315) 2024-12-17T23:43:51.6643502Z remote: Compressing objects: 89% (281/315) 2024-12-17T23:43:51.6644767Z remote: Compressing objects: 90% (284/315) 2024-12-17T23:43:51.6645173Z remote: Compressing objects: 91% (287/315) 2024-12-17T23:43:51.6645766Z remote: Compressing objects: 92% (290/315) 2024-12-17T23:43:51.6647177Z remote: Compressing objects: 93% (293/315) 2024-12-17T23:43:51.6647577Z remote: Compressing objects: 94% (297/315) 2024-12-17T23:43:51.6648575Z remote: Compressing objects: 95% (300/315) 2024-12-17T23:43:51.6648960Z remote: Compressing objects: 96% (303/315) 2024-12-17T23:43:51.6649807Z remote: Compressing objects: 97% (306/315) 2024-12-17T23:43:51.6650214Z remote: Compressing objects: 98% (309/315) 2024-12-17T23:43:51.6651041Z remote: Compressing objects: 99% (312/315) 2024-12-17T23:43:51.6651444Z remote: Compressing objects: 100% (315/315) 2024-12-17T23:43:51.6651871Z remote: Compressing objects: 100% (315/315), done. 2024-12-17T23:44:13.0211718Z remote: Total 1057229 (delta 664), reused 518 (delta 505), pack-reused 1056409 (from 3) 2024-12-17T23:44:33.2254380Z [command]/usr/bin/git rev-parse --verify --quiet 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7^{object} 2024-12-17T23:44:33.2273931Z 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:44:33.2277482Z ##[endgroup] 2024-12-17T23:44:33.2277921Z ##[group]Determining the checkout info 2024-12-17T23:44:33.2278647Z ##[endgroup] 2024-12-17T23:44:33.2279062Z ##[group]Checking out the ref 2024-12-17T23:44:33.2281710Z [command]/usr/bin/git checkout --quiet --force 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:44:34.6244361Z ##[endgroup] 2024-12-17T23:44:34.6244839Z ##[group]Setting up auth for fetching submodules 2024-12-17T23:44:34.6248086Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2024-12-17T23:44:34.6296396Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2024-12-17T23:44:34.6317008Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2024-12-17T23:44:34.6338199Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2024-12-17T23:44:34.6360873Z ##[endgroup] 2024-12-17T23:44:34.6361376Z ##[group]Fetching submodules 2024-12-17T23:44:34.6363257Z [command]/usr/bin/git submodule sync --recursive 2024-12-17T23:44:34.6640759Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2024-12-17T23:44:34.6911398Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2024-12-17T23:44:34.6912730Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2024-12-17T23:44:34.6914252Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2024-12-17T23:44:34.6916694Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2024-12-17T23:44:34.6919113Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2024-12-17T23:44:34.6922078Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2024-12-17T23:44:34.6924512Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2024-12-17T23:44:34.6927314Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2024-12-17T23:44:34.6930230Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2024-12-17T23:44:34.6933104Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2024-12-17T23:44:34.6936071Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2024-12-17T23:44:34.6939352Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2024-12-17T23:44:34.6942464Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2024-12-17T23:44:34.6945813Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2024-12-17T23:44:34.6950228Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2024-12-17T23:44:34.6953838Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2024-12-17T23:44:34.6959321Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2024-12-17T23:44:34.6963526Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2024-12-17T23:44:34.6967155Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2024-12-17T23:44:34.6971160Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2024-12-17T23:44:34.6975046Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2024-12-17T23:44:34.6979106Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2024-12-17T23:44:34.6983351Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2024-12-17T23:44:34.6987567Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2024-12-17T23:44:34.6991855Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2024-12-17T23:44:34.6996266Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2024-12-17T23:44:34.7000740Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2024-12-17T23:44:34.7005772Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2024-12-17T23:44:34.7010274Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2024-12-17T23:44:34.7015270Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2024-12-17T23:44:34.7019974Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2024-12-17T23:44:34.7025011Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2024-12-17T23:44:34.7029951Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2024-12-17T23:44:34.7036538Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2024-12-17T23:44:34.7041903Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2024-12-17T23:44:34.7047375Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2024-12-17T23:44:34.7073966Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2024-12-17T23:44:35.0192342Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2024-12-17T23:44:35.2359436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2024-12-17T23:44:35.4181741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2024-12-17T23:44:35.6894865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2024-12-17T23:44:36.0299457Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2024-12-17T23:44:37.8403803Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2024-12-17T23:44:48.2668871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2024-12-17T23:44:48.6937019Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2024-12-17T23:44:50.7975655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2024-12-17T23:44:51.2937407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2024-12-17T23:44:51.8969359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2024-12-17T23:44:53.0407438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2024-12-17T23:44:55.0344659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2024-12-17T23:45:00.1268058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2024-12-17T23:45:01.6197088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2024-12-17T23:45:02.7580491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2024-12-17T23:45:03.8872633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2024-12-17T23:45:04.3250833Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2024-12-17T23:45:04.6686825Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2024-12-17T23:45:05.6733216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2024-12-17T23:45:06.0163597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2024-12-17T23:45:06.2925640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2024-12-17T23:45:07.8726432Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2024-12-17T23:45:08.7704509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2024-12-17T23:45:09.1285285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2024-12-17T23:45:15.9820447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2024-12-17T23:45:17.9248785Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2024-12-17T23:45:22.8412324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2024-12-17T23:45:23.0887820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2024-12-17T23:45:31.7913416Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2024-12-17T23:45:31.9746279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2024-12-17T23:45:32.1891052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2024-12-17T23:45:33.2614833Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2024-12-17T23:45:33.5870599Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2024-12-17T23:45:34.1907458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2024-12-17T23:45:34.6168611Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2024-12-17T23:45:34.6279994Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2024-12-17T23:45:34.6363677Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2024-12-17T23:45:34.6593398Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2024-12-17T23:45:34.6914611Z Submodule path 'third_party/NVTX': checked out 'e170594ac7cf1dac584da473d4ca9301087090c1' 2024-12-17T23:45:34.7257104Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2024-12-17T23:45:35.4080145Z Submodule path 'third_party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8' 2024-12-17T23:45:35.4304573Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2024-12-17T23:45:35.6498357Z Submodule path 'third_party/composable_kernel': checked out '50ee4267e27b875d149e642f4cebd47be1dc3b57' 2024-12-17T23:45:35.6960912Z Submodule path 'third_party/cpp-httplib': checked out '3b6597bba913d51161383657829b7e644e59c006' 2024-12-17T23:45:35.7897667Z Submodule path 'third_party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99' 2024-12-17T23:45:35.8219052Z Submodule path 'third_party/cudnn_frontend': checked out '936021bfed8c91dc416af1588b2c4eca631a9e45' 2024-12-17T23:45:36.2991660Z Submodule path 'third_party/cutlass': checked out 'bbe579a9e3beb6ea6626d9227ec32d0dae119a49' 2024-12-17T23:45:36.5436849Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2024-12-17T23:45:36.6346203Z Submodule path 'third_party/fbgemm': checked out 'dbc3157bf256f1339b3fa1fef2be89ac4078be0e' 2024-12-17T23:45:36.6364708Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2024-12-17T23:45:36.6366934Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2024-12-17T23:45:36.6369282Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2024-12-17T23:45:36.6371810Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2024-12-17T23:45:36.6374480Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2024-12-17T23:45:36.6399800Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2024-12-17T23:45:37.6230546Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2024-12-17T23:45:38.2126778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2024-12-17T23:45:40.1871311Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2024-12-17T23:45:41.1881661Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2024-12-17T23:45:41.6037783Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2024-12-17T23:45:41.6963993Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2024-12-17T23:45:42.0802007Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2024-12-17T23:45:42.1398218Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2024-12-17T23:45:42.1516291Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2024-12-17T23:45:42.2764291Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2024-12-17T23:45:42.3138355Z Submodule path 'third_party/fmt': checked out '0c9fce2ffefecfdce794e1859584e25877b7b592' 2024-12-17T23:45:42.3524010Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2024-12-17T23:45:42.3771869Z Submodule path 'third_party/gloo': checked out '5354032ea08eadd7fc4456477f7f7c6308818509' 2024-12-17T23:45:42.4194428Z Submodule path 'third_party/googletest': checked out 'b514bdc898e2951020cbdca1304b75f5950d1f59' 2024-12-17T23:45:42.4317291Z Submodule path 'third_party/ideep': checked out 'c7ccd5bdbe5434ba156f4e856dcef0601637334b' 2024-12-17T23:45:42.4332639Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2024-12-17T23:45:42.4355449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2024-12-17T23:45:56.1120638Z Submodule path 'third_party/ideep/mkl-dnn': checked out '66f0cb9eb66affd2da3bf5f8d897376f04aae6af' 2024-12-17T23:45:56.1290854Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2024-12-17T23:45:56.2118643Z Submodule path 'third_party/kineto': checked out '338140f58a28d599da3434ced4fd2d75dd1a213d' 2024-12-17T23:45:56.2136594Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2024-12-17T23:45:56.2138736Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2024-12-17T23:45:56.2141271Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2024-12-17T23:45:56.2166515Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2024-12-17T23:45:56.9906750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2024-12-17T23:45:58.1275584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2024-12-17T23:45:59.1640835Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2024-12-17T23:45:59.1656939Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-12-17T23:45:59.1660297Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-12-17T23:45:59.1662582Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-12-17T23:45:59.1665251Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-12-17T23:45:59.1668058Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-12-17T23:45:59.1670890Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-12-17T23:45:59.1673673Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-12-17T23:45:59.1676603Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-12-17T23:45:59.1702423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2024-12-17T23:46:00.0835498Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2024-12-17T23:46:00.4660732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2024-12-17T23:46:01.5546522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2024-12-17T23:46:01.8987006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2024-12-17T23:46:02.3759158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2024-12-17T23:46:03.4606266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2024-12-17T23:46:10.2779058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2024-12-17T23:46:10.6704364Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2024-12-17T23:46:10.6880678Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2024-12-17T23:46:10.7230657Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2024-12-17T23:46:10.7357621Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2024-12-17T23:46:10.7373528Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-12-17T23:46:10.7396690Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2024-12-17T23:46:11.0627721Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2024-12-17T23:46:11.0802362Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2024-12-17T23:46:11.1188375Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2024-12-17T23:46:11.2138135Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2024-12-17T23:46:11.2292793Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2024-12-17T23:46:11.2672735Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2024-12-17T23:46:11.3235566Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2024-12-17T23:46:11.3583974Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2024-12-17T23:46:11.3869023Z Submodule path 'third_party/nccl/nccl': checked out 'ab2b89c4c339bd7f816fbc114a4b05d386b66290' 2024-12-17T23:46:11.4931024Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2024-12-17T23:46:11.8329694Z Submodule path 'third_party/onnx': checked out 'b8baa8446686496da4cc8fda09f2b6fe65c2a02c' 2024-12-17T23:46:11.8364218Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2024-12-17T23:46:11.8389104Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2024-12-17T23:46:12.9389181Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '3e9dfa2866941655c56877882565e7577de6fc7b' 2024-12-17T23:46:13.0046542Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2024-12-17T23:46:13.0065299Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-12-17T23:46:13.0067588Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2024-12-17T23:46:13.0069929Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-12-17T23:46:13.0072423Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-12-17T23:46:13.0075220Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-12-17T23:46:13.0077812Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 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2024-12-17T23:46:40.8317357Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-12-17T23:46:40.8357373Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-12-17T23:46:40.8396916Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-12-17T23:46:40.8452555Z Entering 'third_party/pocketfft' 2024-12-17T23:46:40.8490733Z Entering 'third_party/protobuf' 2024-12-17T23:46:40.8532318Z Entering 'third_party/protobuf/third_party/benchmark' 2024-12-17T23:46:40.8570168Z Entering 'third_party/protobuf/third_party/googletest' 2024-12-17T23:46:40.8610043Z Entering 'third_party/psimd' 2024-12-17T23:46:40.8648177Z Entering 'third_party/pthreadpool' 2024-12-17T23:46:40.8685872Z Entering 'third_party/pybind11' 2024-12-17T23:46:40.8724032Z Entering 'third_party/python-peachpy' 2024-12-17T23:46:40.8762787Z Entering 'third_party/sleef' 2024-12-17T23:46:40.8800824Z Entering 'third_party/tensorpipe' 2024-12-17T23:46:40.8839814Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-12-17T23:46:40.8878987Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-12-17T23:46:40.8915896Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-12-17T23:46:40.8953320Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-12-17T23:46:40.8990472Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-12-17T23:46:40.9039112Z ##[endgroup] 2024-12-17T23:46:40.9068225Z [command]/usr/bin/git log -1 --format='%H' 2024-12-17T23:46:40.9087041Z '0cdf8b1d09254cfda66191d1bd01e3041c3c76f7' 2024-12-17T23:46:40.9239086Z Prepare all required actions 2024-12-17T23:46:40.9239657Z Getting action download info 2024-12-17T23:46:41.1062035Z ##[group]Run ./.github/actions/setup-linux 2024-12-17T23:46:41.1062380Z env: 2024-12-17T23:46:41.1062604Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:41.1062884Z ##[endgroup] 2024-12-17T23:46:41.1112126Z ##[group]Run set -euo pipefail 2024-12-17T23:46:41.1112489Z set -euo pipefail 2024-12-17T23:46:41.1112806Z function get_ec2_metadata() { 2024-12-17T23:46:41.1113204Z  # Pulled from instance metadata endpoint for EC2 2024-12-17T23:46:41.1113855Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2024-12-17T23:46:41.1114438Z  category=$1 2024-12-17T23:46:41.1114813Z  # If it is GCP runner (runner name contains gcp), do not run this 2024-12-17T23:46:41.1115259Z  runner_name_str=i-0667d3e1c026d2cb1 2024-12-17T23:46:41.1115646Z  if [[ -f /.inarc ]]; then 2024-12-17T23:46:41.1116008Z  echo "ARC Runner, no info on ec2 metadata" 2024-12-17T23:46:41.1116409Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2024-12-17T23:46:41.1116888Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2024-12-17T23:46:41.1117331Z  else 2024-12-17T23:46:41.1118199Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2024-12-17T23:46:41.1119128Z  fi 2024-12-17T23:46:41.1119343Z } 2024-12-17T23:46:41.1119620Z echo "ami-id: $(get_ec2_metadata ami-id)" 2024-12-17T23:46:41.1120058Z echo "instance-id: $(get_ec2_metadata instance-id)" 2024-12-17T23:46:41.1120554Z echo "instance-type: $(get_ec2_metadata instance-type)" 2024-12-17T23:46:41.1120982Z echo "system info $(uname -a)" 2024-12-17T23:46:41.1127845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:41.1128223Z env: 2024-12-17T23:46:41.1128454Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:41.1128728Z ##[endgroup] 2024-12-17T23:46:41.1271773Z ami-id: ami-0fff1b9a61dec8a5f 2024-12-17T23:46:41.1369634Z instance-id: i-0667d3e1c026d2cb1 2024-12-17T23:46:41.1464667Z instance-type: c5.4xlarge 2024-12-17T23:46:41.1474394Z system info Linux ip-10-0-10-119.ec2.internal 6.1.109-118.189.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 10 08:59:12 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2024-12-17T23:46:41.1508560Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:46:41.1509526Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:46:41.1515748Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:41.1516154Z env: 2024-12-17T23:46:41.1516367Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:41.1516641Z ##[endgroup] 2024-12-17T23:46:41.1579970Z ##[group]Run if systemctl is-active --quiet docker; then 2024-12-17T23:46:41.1580434Z if systemctl is-active --quiet docker; then 2024-12-17T23:46:41.1580833Z  echo "Docker daemon is running..."; 2024-12-17T23:46:41.1581159Z else 2024-12-17T23:46:41.1581527Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2024-12-17T23:46:41.1581961Z fi 2024-12-17T23:46:41.1587246Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:41.1587769Z env: 2024-12-17T23:46:41.1588005Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:41.1588282Z ##[endgroup] 2024-12-17T23:46:41.1659633Z Docker daemon is running... 2024-12-17T23:46:41.1705900Z ##[group]Run nick-fields/retry@v3.0.0 2024-12-17T23:46:41.1706223Z with: 2024-12-17T23:46:41.1706437Z shell: bash 2024-12-17T23:46:41.1706817Z timeout_minutes: 5 2024-12-17T23:46:41.1707080Z max_attempts: 3 2024-12-17T23:46:41.1707330Z retry_wait_seconds: 30 2024-12-17T23:46:41.1709632Z command: AWS_ACCOUNT_ID=$(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 2024-12-17T23:46:41.1711945Z polling_interval_seconds: 1 2024-12-17T23:46:41.1712243Z warning_on_retry: true 2024-12-17T23:46:41.1712519Z continue_on_error: false 2024-12-17T23:46:41.1712786Z env: 2024-12-17T23:46:41.1713009Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:41.1713274Z AWS_RETRY_MODE: standard 2024-12-17T23:46:41.1713546Z AWS_MAX_ATTEMPTS: 5 2024-12-17T23:46:41.1713818Z AWS_DEFAULT_REGION: us-east-1 2024-12-17T23:46:41.1714106Z ##[endgroup] 2024-12-17T23:46:42.4206520Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-12-17T23:46:42.4207159Z Configure a credential helper to remove this warning. See 2024-12-17T23:46:42.4207863Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-12-17T23:46:42.4208279Z 2024-12-17T23:46:42.4208384Z Login Succeeded 2024-12-17T23:46:43.3424356Z Command completed after 1 attempt(s). 2024-12-17T23:46:43.3482797Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-12-17T23:46:43.3483346Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-12-17T23:46:43.3483821Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2024-12-17T23:46:43.3489732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:43.3490114Z env: 2024-12-17T23:46:43.3490339Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.3490618Z ##[endgroup] 2024-12-17T23:46:43.3580210Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-12-17T23:46:43.3580820Z # ignore expansion of "docker ps -q" since it could be empty 2024-12-17T23:46:43.3581266Z # shellcheck disable=SC2046 2024-12-17T23:46:43.3581601Z docker stop $(docker ps -q) || true 2024-12-17T23:46:43.3581959Z # Prune all of the docker images 2024-12-17T23:46:43.3582302Z docker system prune -af 2024-12-17T23:46:43.3588549Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:43.3588943Z env: 2024-12-17T23:46:43.3589170Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.3589464Z ##[endgroup] 2024-12-17T23:46:43.3845978Z "docker stop" requires at least 1 argument. 2024-12-17T23:46:43.3846410Z See 'docker stop --help'. 2024-12-17T23:46:43.3846593Z 2024-12-17T23:46:43.3846810Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2024-12-17T23:46:43.3847089Z 2024-12-17T23:46:43.3847205Z Stop one or more running containers 2024-12-17T23:46:43.4026373Z Total reclaimed space: 0B 2024-12-17T23:46:43.4077613Z ##[group]Run set +e 2024-12-17T23:46:43.4077918Z set +e 2024-12-17T23:46:43.4078163Z set -x 2024-12-17T23:46:43.4078399Z  2024-12-17T23:46:43.4078656Z PT_DOMAIN=download.pytorch.org 2024-12-17T23:46:43.4079248Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2024-12-17T23:46:43.4080142Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2024-12-17T23:46:43.4080680Z # one is returned at random 2024-12-17T23:46:43.4081095Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2024-12-17T23:46:43.4081579Z  2024-12-17T23:46:43.4081950Z if [ -z "${RESOLVED_IP}" ]; then 2024-12-17T23:46:43.4082406Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2024-12-17T23:46:43.4082935Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2024-12-17T23:46:43.4083344Z  2024-12-17T23:46:43.4083594Z  if [ -z "${RESOLVED_IP}" ]; then 2024-12-17T23:46:43.4083995Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2024-12-17T23:46:43.4084373Z  exit 1 2024-12-17T23:46:43.4084607Z  fi 2024-12-17T23:46:43.4084835Z fi 2024-12-17T23:46:43.4085053Z  2024-12-17T23:46:43.4085328Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2024-12-17T23:46:43.4085709Z  # Clean up any old records first 2024-12-17T23:46:43.4086066Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2024-12-17T23:46:43.4086403Z fi 2024-12-17T23:46:43.4086623Z  2024-12-17T23:46:43.4086947Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2024-12-17T23:46:43.4087354Z cat /etc/hosts 2024-12-17T23:46:43.4093062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:43.4093438Z env: 2024-12-17T23:46:43.4093667Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.4093937Z ##[endgroup] 2024-12-17T23:46:43.4116015Z + PT_DOMAIN=download.pytorch.org 2024-12-17T23:46:43.4121046Z ++ dig -4 +short download.pytorch.org 2024-12-17T23:46:43.4122105Z ++ tail -n1 2024-12-17T23:46:43.4541889Z + RESOLVED_IP=3.167.99.89 2024-12-17T23:46:43.4542222Z + '[' -z 3.167.99.89 ']' 2024-12-17T23:46:43.4542522Z + grep -r download.pytorch.org /etc/hosts 2024-12-17T23:46:43.4556250Z + echo '3.167.99.89 download.pytorch.org' 2024-12-17T23:46:43.4556658Z + sudo tee -a /etc/hosts 2024-12-17T23:46:43.6808750Z 3.167.99.89 download.pytorch.org 2024-12-17T23:46:43.6823940Z + cat /etc/hosts 2024-12-17T23:46:43.6831720Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2024-12-17T23:46:43.6837469Z ::1 localhost6 localhost6.localdomain6 2024-12-17T23:46:43.6837868Z 3.167.99.89 download.pytorch.org 2024-12-17T23:46:43.6995352Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@release/2.6 2024-12-17T23:46:43.6995851Z with: 2024-12-17T23:46:43.6996538Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.6997320Z docker-build-dir: .ci/docker 2024-12-17T23:46:43.6997625Z working-directory: . 2024-12-17T23:46:43.6997987Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:43.6998405Z force-push: false 2024-12-17T23:46:43.6998646Z env: 2024-12-17T23:46:43.6998866Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.6999137Z ##[endgroup] 2024-12-17T23:46:43.7037649Z ##[group]Run set -ex 2024-12-17T23:46:43.7037965Z set -ex 2024-12-17T23:46:43.7038208Z  2024-12-17T23:46:43.7038621Z # If the docker build directory or the build script doesn't exist, the action will 2024-12-17T23:46:43.7039363Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2024-12-17T23:46:43.7039934Z # job could then download the pre-built image as usual 2024-12-17T23:46:43.7040466Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2024-12-17T23:46:43.7040957Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7041516Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7041941Z  2024-12-17T23:46:43.7042438Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2024-12-17T23:46:43.7042882Z  exit 0 2024-12-17T23:46:43.7043126Z else 2024-12-17T23:46:43.7043405Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7043741Z fi 2024-12-17T23:46:43.7043965Z  2024-12-17T23:46:43.7044305Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2024-12-17T23:46:43.7044924Z  # The docker image name already includes the ECR prefix and tag, so we can just 2024-12-17T23:46:43.7045476Z  # use it as it is, but first let's extract the tag 2024-12-17T23:46:43.7045967Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2024-12-17T23:46:43.7046486Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7046985Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7047411Z else 2024-12-17T23:46:43.7047722Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2024-12-17T23:46:43.7048194Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7048846Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7049418Z fi 2024-12-17T23:46:43.7058204Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:43.7058601Z env: 2024-12-17T23:46:43.7058815Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.7059092Z REPO_NAME: pytorch 2024-12-17T23:46:43.7059799Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7060558Z DOCKER_BUILD_DIR: .ci/docker 2024-12-17T23:46:43.7060935Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:43.7061331Z ##[endgroup] 2024-12-17T23:46:43.7084729Z + [[ ! -d .ci/docker ]] 2024-12-17T23:46:43.7085019Z + [[ ! -f .ci/docker/build.sh ]] 2024-12-17T23:46:43.7085316Z + echo skip=false 2024-12-17T23:46:43.7086551Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 == *\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* ]] 2024-12-17T23:46:43.7091566Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7092408Z ++ awk -F '[:,]' '{print $2}' 2024-12-17T23:46:43.7113025Z + DOCKER_TAG=45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7113482Z + echo docker-tag=45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7114304Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7144995Z ##[group]Run set +e 2024-12-17T23:46:43.7145335Z set +e 2024-12-17T23:46:43.7145578Z set -x 2024-12-17T23:46:43.7145816Z  2024-12-17T23:46:43.7146026Z login() { 2024-12-17T23:46:43.7146520Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-12-17T23:46:43.7147049Z } 2024-12-17T23:46:43.7147269Z  2024-12-17T23:46:43.7147489Z retry () { 2024-12-17T23:46:43.7147766Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-12-17T23:46:43.7148096Z } 2024-12-17T23:46:43.7148314Z  2024-12-17T23:46:43.7148557Z retry login "${DOCKER_REGISTRY}" 2024-12-17T23:46:43.7148876Z  2024-12-17T23:46:43.7149091Z START_TIME=$(date +%s) 2024-12-17T23:46:43.7149393Z # Wait up to 90 minutes 2024-12-17T23:46:43.7149767Z while [[ $(( $(date +%s) - 5400 )) -lt $START_TIME ]]; do 2024-12-17T23:46:43.7150420Z  # Check if image already exists, if it does then skip building it 2024-12-17T23:46:43.7150927Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2024-12-17T23:46:43.7151306Z  exit 0 2024-12-17T23:46:43.7151540Z  fi 2024-12-17T23:46:43.7151764Z  2024-12-17T23:46:43.7152160Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2024-12-17T23:46:43.7152834Z  # use this to differentiate between the Docker build and regular build jobs. For the 2024-12-17T23:46:43.7153512Z  # latter, it will wait for the Docker images to become available before continuing 2024-12-17T23:46:43.7154044Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2024-12-17T23:46:43.7154442Z  # It's a Docker build job, let's build the image 2024-12-17T23:46:43.7154800Z  break 2024-12-17T23:46:43.7155044Z  else 2024-12-17T23:46:43.7155394Z  # It's a regular build job, wait for the image to become available 2024-12-17T23:46:43.7155821Z  sleep 300 2024-12-17T23:46:43.7156067Z  fi 2024-12-17T23:46:43.7156293Z done 2024-12-17T23:46:43.7156516Z  2024-12-17T23:46:43.7156874Z # NB: This part requires a full checkout. Otherwise, the merge base will 2024-12-17T23:46:43.7157457Z # be empty. The default action would be to continue rebuild the image 2024-12-17T23:46:43.7158214Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2024-12-17T23:46:43.7158695Z  # if we're on the base branch then use the parent commit 2024-12-17T23:46:43.7159114Z  MERGE_BASE=$(git rev-parse HEAD~) 2024-12-17T23:46:43.7159445Z else 2024-12-17T23:46:43.7159787Z  # otherwise we're on a PR, so use the most recent base commit 2024-12-17T23:46:43.7160275Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2024-12-17T23:46:43.7160637Z fi 2024-12-17T23:46:43.7160862Z  2024-12-17T23:46:43.7161107Z if [[ -z "${MERGE_BASE}" ]]; then 2024-12-17T23:46:43.7161541Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7161883Z  2024-12-17T23:46:43.7162346Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2024-12-17T23:46:43.7162911Z  exit 0 2024-12-17T23:46:43.7163148Z fi 2024-12-17T23:46:43.7163518Z  2024-12-17T23:46:43.7163843Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2024-12-17T23:46:43.7164547Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2024-12-17T23:46:43.7165133Z  exit 1 2024-12-17T23:46:43.7165375Z fi 2024-12-17T23:46:43.7165599Z  2024-12-17T23:46:43.7165971Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2024-12-17T23:46:43.7166645Z # If no image exists but the hash is the same as the previous hash then we should error out here 2024-12-17T23:46:43.7167230Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2024-12-17T23:46:43.7167917Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2024-12-17T23:46:43.7168698Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2024-12-17T23:46:43.7169163Z fi 2024-12-17T23:46:43.7169384Z  2024-12-17T23:46:43.7169653Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2024-12-17T23:46:43.7175309Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:43.7175702Z env: 2024-12-17T23:46:43.7175927Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:43.7176215Z DOCKER_BUILD_DIR: .ci/docker 2024-12-17T23:46:43.7176575Z BASE_REVISION: 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:46:43.7177475Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7178245Z DOCKER_TAG: 45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:43.7178696Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:43.7179095Z DOCKER_PUSH: 2024-12-17T23:46:43.7179334Z ##[endgroup] 2024-12-17T23:46:43.7201389Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:43.7201835Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:43.7204011Z + aws ecr get-login-password --region us-east-1 2024-12-17T23:46:43.7205365Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:44.2667876Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-12-17T23:46:44.2668499Z Configure a credential helper to remove this warning. See 2024-12-17T23:46:44.2669098Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-12-17T23:46:44.2669494Z 2024-12-17T23:46:44.2670021Z Login Succeeded 2024-12-17T23:46:44.2684506Z ++ date +%s 2024-12-17T23:46:44.2694722Z + START_TIME=1734479204 2024-12-17T23:46:44.2697710Z ++ date +%s 2024-12-17T23:46:44.2705663Z + [[ 1734473804 -lt 1734479204 ]] 2024-12-17T23:46:44.2706836Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:44.4877535Z { 2024-12-17T23:46:44.4877825Z "schemaVersion": 2, 2024-12-17T23:46:44.4878281Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2024-12-17T23:46:44.4878739Z "config": { 2024-12-17T23:46:44.4879068Z "mediaType": "application/vnd.docker.container.image.v1+json", 2024-12-17T23:46:44.4879488Z "size": 41578, 2024-12-17T23:46:44.4879922Z "digest": "sha256:59a4df73988ee309dbf7bbeebf91f7b6258b2da2804e245afce1c5d776a178fb" 2024-12-17T23:46:44.4880445Z }, 2024-12-17T23:46:44.4880662Z "layers": [ 2024-12-17T23:46:44.4880870Z { 2024-12-17T23:46:44.4881217Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.4881703Z "size": 28583948, 2024-12-17T23:46:44.4882132Z "digest": "sha256:86e5016c269355b382c9cabab4f6646d56d75914f20d545289970436dae431b1" 2024-12-17T23:46:44.4882613Z }, 2024-12-17T23:46:44.4882804Z { 2024-12-17T23:46:44.4883438Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.4883875Z "size": 1825, 2024-12-17T23:46:44.4884305Z "digest": "sha256:7d35dd005d9e53df675bcdf68f09e0c31962bce9d4460868804cd7447886a662" 2024-12-17T23:46:44.4884809Z }, 2024-12-17T23:46:44.4885002Z { 2024-12-17T23:46:44.4885343Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.4885778Z "size": 313453552, 2024-12-17T23:46:44.4886221Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5017591Z }, 2024-12-17T23:46:44.5017790Z { 2024-12-17T23:46:44.5018121Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5018543Z "size": 161, 2024-12-17T23:46:44.5018954Z "digest": "sha256:c8024304b2839eef704fe195c1909508616cbb13e25d4a3e676a9fdf36684755" 2024-12-17T23:46:44.5019413Z }, 2024-12-17T23:46:44.5019749Z { 2024-12-17T23:46:44.5020093Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5020524Z "size": 683, 2024-12-17T23:46:44.5020945Z "digest": "sha256:8444d3a64f1d209c6b2c314b8cdcfc0a3e1841cb4a5c01ac1bc933d0acf8bd8e" 2024-12-17T23:46:44.5021418Z }, 2024-12-17T23:46:44.5021619Z { 2024-12-17T23:46:44.5021956Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5022382Z "size": 700, 2024-12-17T23:46:44.5022809Z "digest": "sha256:a97b321f18977fb74ff632dca9041e91fdb329ee2efdf320a53dacb7d2f02495" 2024-12-17T23:46:44.5023279Z }, 2024-12-17T23:46:44.5023478Z { 2024-12-17T23:46:44.5023810Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5024232Z "size": 138, 2024-12-17T23:46:44.5024642Z "digest": "sha256:fb87d5a72395572b932ad801997d402f2e5780fbf2b503e269c6485d97e2d4d6" 2024-12-17T23:46:44.5025099Z }, 2024-12-17T23:46:44.5025299Z { 2024-12-17T23:46:44.5025636Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5026061Z "size": 32, 2024-12-17T23:46:44.5026482Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5026953Z }, 2024-12-17T23:46:44.5027152Z { 2024-12-17T23:46:44.5027488Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5027913Z "size": 160, 2024-12-17T23:46:44.5028329Z "digest": "sha256:40f7893b090dd7aa03877d64bce6904bb06524f81a34e01de8ebc4c22857e0c8" 2024-12-17T23:46:44.5028865Z }, 2024-12-17T23:46:44.5029065Z { 2024-12-17T23:46:44.5029403Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5029830Z "size": 907, 2024-12-17T23:46:44.5030262Z "digest": "sha256:b5cda50ebeb5dbea3b12f25f4e2bdc3eb39efac73195030563c7bf230ecabb74" 2024-12-17T23:46:44.5030740Z }, 2024-12-17T23:46:44.5030940Z { 2024-12-17T23:46:44.5031278Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5031711Z "size": 700, 2024-12-17T23:46:44.5032135Z "digest": "sha256:a97b321f18977fb74ff632dca9041e91fdb329ee2efdf320a53dacb7d2f02495" 2024-12-17T23:46:44.5032612Z }, 2024-12-17T23:46:44.5032816Z { 2024-12-17T23:46:44.5033147Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5033574Z "size": 135, 2024-12-17T23:46:44.5033992Z "digest": "sha256:85bc880833f6f7ee208c72ea12310619f39cfd83efc1455ac3edeab03fbcfdf6" 2024-12-17T23:46:44.5034467Z }, 2024-12-17T23:46:44.5034668Z { 2024-12-17T23:46:44.5035001Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5035426Z "size": 32, 2024-12-17T23:46:44.5035847Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5036318Z }, 2024-12-17T23:46:44.5036519Z { 2024-12-17T23:46:44.5036853Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5037287Z "size": 158, 2024-12-17T23:46:44.5037702Z "digest": "sha256:ae2d3bac1079b27e53f500723421a2836f648a83846c8cbd4252f9980ebe9f2e" 2024-12-17T23:46:44.5038164Z }, 2024-12-17T23:46:44.5038363Z { 2024-12-17T23:46:44.5038694Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5039117Z "size": 1521, 2024-12-17T23:46:44.5039531Z "digest": "sha256:16c0054b16e2a08c9403cc96dc841b32e91e932968cb0fc9aaf5d28384ce7be6" 2024-12-17T23:46:44.5039991Z }, 2024-12-17T23:46:44.5040197Z { 2024-12-17T23:46:44.5040529Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5040949Z "size": 32, 2024-12-17T23:46:44.5041449Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5041928Z }, 2024-12-17T23:46:44.5042131Z { 2024-12-17T23:46:44.5042468Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5042896Z "size": 136, 2024-12-17T23:46:44.5043411Z "digest": "sha256:3f9a54d0d31eaff71f08abb2523da7d8e2cfe4e4c8b19ce805c070880bf7c2cc" 2024-12-17T23:46:44.5043891Z }, 2024-12-17T23:46:44.5044092Z { 2024-12-17T23:46:44.5044428Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5044858Z "size": 379, 2024-12-17T23:46:44.5045263Z "digest": "sha256:046cb5046fc73c9fc89b78c6860b8a5e5975563adb9d0c6eb833ae4da84be49e" 2024-12-17T23:46:44.5045743Z }, 2024-12-17T23:46:44.5045942Z { 2024-12-17T23:46:44.5046282Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5046704Z "size": 32, 2024-12-17T23:46:44.5047110Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5047596Z }, 2024-12-17T23:46:44.5047797Z { 2024-12-17T23:46:44.5048133Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5048558Z "size": 104, 2024-12-17T23:46:44.5048966Z "digest": "sha256:6f89b73663e962e621154a70aadc28deacc008cd96f180f1296a3ad995ec3e8d" 2024-12-17T23:46:44.5049443Z }, 2024-12-17T23:46:44.5049644Z { 2024-12-17T23:46:44.5049978Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5050402Z "size": 1932, 2024-12-17T23:46:44.5050817Z "digest": "sha256:d68f1afba5fa41f71ed4a73cf94b8e806148abe0e692a455ed3d231f7bda7317" 2024-12-17T23:46:44.5051300Z }, 2024-12-17T23:46:44.5051498Z { 2024-12-17T23:46:44.5051834Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5052336Z "size": 234173055, 2024-12-17T23:46:44.5052766Z "digest": "sha256:56aaeadbe1af86251a75b3f0768af4dfa29ec7314e2c2e87363bde721aa94369" 2024-12-17T23:46:44.5053250Z }, 2024-12-17T23:46:44.5053451Z { 2024-12-17T23:46:44.5053785Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5054213Z "size": 106, 2024-12-17T23:46:44.5054627Z "digest": "sha256:bd90a525e7bb19a447fabff4d87b25b4fcceb7c5f03c1e49a8802dd22a93a92b" 2024-12-17T23:46:44.5055117Z }, 2024-12-17T23:46:44.5055318Z { 2024-12-17T23:46:44.5055652Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5056080Z "size": 165, 2024-12-17T23:46:44.5056481Z "digest": 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"sha256:4c1758e11fc4388fc835fb6d7c09c0cc5483f89cc6b38fe7765d01418c7ca8fa" 2024-12-17T23:46:44.5062674Z }, 2024-12-17T23:46:44.5062880Z { 2024-12-17T23:46:44.5063212Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5063639Z "size": 32, 2024-12-17T23:46:44.5064049Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5064531Z }, 2024-12-17T23:46:44.5064731Z { 2024-12-17T23:46:44.5065060Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5065480Z "size": 108, 2024-12-17T23:46:44.5065886Z "digest": "sha256:1f48c41df7ceaf9b5cb42c03333af66102ad8729352a030d9d9dac48f2542dab" 2024-12-17T23:46:44.5066363Z }, 2024-12-17T23:46:44.5066554Z { 2024-12-17T23:46:44.5067019Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5067447Z "size": 54145661, 2024-12-17T23:46:44.5067864Z "digest": "sha256:c58640635e769decd88d1b69ac3689d623a4014cfc2f26b23087cdd796b2cf70" 2024-12-17T23:46:44.5068337Z }, 2024-12-17T23:46:44.5068538Z { 2024-12-17T23:46:44.5068870Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2024-12-17T23:46:44.5069300Z "size": 32, 2024-12-17T23:46:44.5069703Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2024-12-17T23:46:44.5070182Z } 2024-12-17T23:46:44.5070381Z ] 2024-12-17T23:46:44.5070577Z } 2024-12-17T23:46:44.5070806Z + exit 0 2024-12-17T23:46:44.5106584Z ##[group]Run set -eux 2024-12-17T23:46:44.5106881Z set -eux 2024-12-17T23:46:44.5107782Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2024-12-17T23:46:44.5114235Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:44.5114630Z env: 2024-12-17T23:46:44.5114844Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:44.5115154Z ##[endgroup] 2024-12-17T23:46:44.5141575Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2024-12-17T23:46:44.5142226Z + jq --raw-output .SecretString 2024-12-17T23:46:44.5143610Z + jq -r .docker_hub_readonly_token 2024-12-17T23:46:44.5144697Z + docker login --username pytorchbot --password-stdin 2024-12-17T23:46:45.1470243Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-12-17T23:46:45.1470885Z Configure a credential helper to remove this warning. See 2024-12-17T23:46:45.1471580Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-12-17T23:46:45.1472028Z 2024-12-17T23:46:45.1472145Z Login Succeeded 2024-12-17T23:46:45.1560402Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*/} 2024-12-17T23:46:45.1560801Z tag=${ECR_DOCKER_IMAGE##*/} 2024-12-17T23:46:45.1561217Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2024-12-17T23:46:45.1567076Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:45.1567467Z env: 2024-12-17T23:46:45.1567696Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:45.1568417Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.1569166Z ##[endgroup] 2024-12-17T23:46:45.1594507Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-focal-py3.12-clang10-45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.1675325Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@release/2.6 2024-12-17T23:46:45.1675812Z with: 2024-12-17T23:46:45.1676468Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.1677309Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:45.1677711Z env: 2024-12-17T23:46:45.1677936Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:45.1678198Z ##[endgroup] 2024-12-17T23:46:45.1700140Z ##[group]Run set -x 2024-12-17T23:46:45.1700430Z set -x 2024-12-17T23:46:45.1700678Z set +e 2024-12-17T23:46:45.1700904Z  2024-12-17T23:46:45.1701131Z login() { 2024-12-17T23:46:45.1701630Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2024-12-17T23:46:45.1702186Z } 2024-12-17T23:46:45.1702408Z  2024-12-17T23:46:45.1702670Z retry () { 2024-12-17T23:46:45.1702964Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2024-12-17T23:46:45.1703282Z } 2024-12-17T23:46:45.1703506Z  2024-12-17T23:46:45.1703758Z retry login "${DOCKER_REGISTRY}" 2024-12-17T23:46:45.1704083Z  2024-12-17T23:46:45.1704309Z set -e 2024-12-17T23:46:45.1704656Z # ignore output since only exit code is used for conditional 2024-12-17T23:46:45.1705174Z # only pull docker image if it's not available locally 2024-12-17T23:46:45.1705744Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2024-12-17T23:46:45.1706267Z  retry docker pull "${DOCKER_IMAGE}" 2024-12-17T23:46:45.1706605Z fi 2024-12-17T23:46:45.1712231Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:46:45.1712639Z env: 2024-12-17T23:46:45.1712865Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:46:45.1713589Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.1714422Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:45.1714827Z ##[endgroup] 2024-12-17T23:46:45.1737126Z + set +e 2024-12-17T23:46:45.1737742Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:45.1738222Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:45.1740400Z + aws ecr get-login-password --region us-east-1 2024-12-17T23:46:45.1741704Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2024-12-17T23:46:45.7180449Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2024-12-17T23:46:45.7181166Z Configure a credential helper to remove this warning. See 2024-12-17T23:46:45.7182025Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2024-12-17T23:46:45.7182436Z 2024-12-17T23:46:45.7182553Z Login Succeeded 2024-12-17T23:46:45.7191971Z + set -e 2024-12-17T23:46:45.7193080Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.7314179Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.7315379Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:46:45.9994935Z 45e1356b47a284893081276eff3000b7b534f3b1: Pulling from pytorch/pytorch-linux-focal-py3.12-clang10 2024-12-17T23:46:45.9996021Z 86e5016c2693: Pulling fs layer 2024-12-17T23:46:45.9996567Z 7d35dd005d9e: Pulling fs layer 2024-12-17T23:46:45.9997149Z a42b4bec9b5d: Pulling fs layer 2024-12-17T23:46:45.9997639Z 685c62b4e7aa: Pulling fs layer 2024-12-17T23:46:45.9998128Z a31cb67fce0c: Pulling fs layer 2024-12-17T23:46:45.9998944Z 443dc476b974: Pulling fs layer 2024-12-17T23:46:45.9999438Z e45ebb0a20c4: Pulling fs layer 2024-12-17T23:46:45.9999957Z fc2ca34e133a: Pulling fs layer 2024-12-17T23:46:46.0000417Z 0b860640e765: Pulling fs layer 2024-12-17T23:46:46.0000943Z b77b2d9def9e: Pulling fs layer 2024-12-17T23:46:46.0001502Z 3998865a4558: Pulling fs layer 2024-12-17T23:46:46.0002018Z a97b321f1897: Pulling fs layer 2024-12-17T23:46:46.0002515Z 3323984ef3d0: Pulling fs layer 2024-12-17T23:46:46.0003053Z bc220d400fc1: Pulling fs layer 2024-12-17T23:46:46.0003355Z 4f4fb700ef54: Pulling fs layer 2024-12-17T23:46:46.0003645Z 4597f957f51e: Pulling fs layer 2024-12-17T23:46:46.0003933Z 06b3659165cc: Pulling fs layer 2024-12-17T23:46:46.0004222Z 832d1727bc5d: Pulling fs layer 2024-12-17T23:46:46.0004511Z 6d799691bec4: Pulling fs layer 2024-12-17T23:46:46.0004789Z a31cb67fce0c: Waiting 2024-12-17T23:46:46.0005042Z 443dc476b974: Waiting 2024-12-17T23:46:46.0005345Z e45ebb0a20c4: Waiting 2024-12-17T23:46:46.0005729Z 5cdb6e2777e2: Pulling fs layer 2024-12-17T23:46:46.0006024Z 685c62b4e7aa: Waiting 2024-12-17T23:46:46.0006341Z 6f71cfa1fdc7: Pulling fs layer 2024-12-17T23:46:46.0006619Z 3998865a4558: Waiting 2024-12-17T23:46:46.0006875Z 073117d82573: Pulling fs layer 2024-12-17T23:46:46.0007153Z 06b3659165cc: Waiting 2024-12-17T23:46:46.0007384Z a97b321f1897: Waiting 2024-12-17T23:46:46.0007631Z 832d1727bc5d: Waiting 2024-12-17T23:46:46.0007878Z 3323984ef3d0: Waiting 2024-12-17T23:46:46.0008137Z ac6c785c6efc: Pulling fs layer 2024-12-17T23:46:46.0008432Z 0559c3302578: Pulling fs layer 2024-12-17T23:46:46.0008704Z fc2ca34e133a: Waiting 2024-12-17T23:46:46.0008956Z 4597f957f51e: Waiting 2024-12-17T23:46:46.0009214Z f7b86d17c395: Pulling fs layer 2024-12-17T23:46:46.0009497Z 6f71cfa1fdc7: Waiting 2024-12-17T23:46:46.0009757Z da7628384d14: Pulling fs layer 2024-12-17T23:46:46.0010029Z 0559c3302578: Waiting 2024-12-17T23:46:46.0010274Z bc220d400fc1: Waiting 2024-12-17T23:46:46.0010553Z 9ffe206157f6: Pulling fs layer 2024-12-17T23:46:46.0010855Z 6d799691bec4: Waiting 2024-12-17T23:46:46.0011115Z 8ef62406be30: Pulling fs layer 2024-12-17T23:46:46.0011395Z 39d65501dedd: Pulling fs layer 2024-12-17T23:46:46.0011685Z fc717a79495f: Pulling fs layer 2024-12-17T23:46:46.0011991Z f7b86d17c395: Waiting 2024-12-17T23:46:46.0012238Z da7628384d14: Waiting 2024-12-17T23:46:46.0012483Z 9ffe206157f6: Waiting 2024-12-17T23:46:46.0012731Z a1f505ee82fa: Pulling fs layer 2024-12-17T23:46:46.0013013Z b77b2d9def9e: Waiting 2024-12-17T23:46:46.0013272Z 1f5a706b22b7: Pulling fs layer 2024-12-17T23:46:46.0013565Z e7b892fbe708: Pulling fs layer 2024-12-17T23:46:46.0013830Z fc717a79495f: Waiting 2024-12-17T23:46:46.0014078Z a1f505ee82fa: Waiting 2024-12-17T23:46:46.0014330Z 1f5a706b22b7: Waiting 2024-12-17T23:46:46.0014587Z 5f4a19cb068d: Pulling fs layer 2024-12-17T23:46:46.0014877Z 2506b19110aa: Pulling fs layer 2024-12-17T23:46:46.0015316Z e7b892fbe708: Waiting 2024-12-17T23:46:46.0015570Z ac6c785c6efc: Waiting 2024-12-17T23:46:46.0015833Z bf298afd8feb: Pulling fs layer 2024-12-17T23:46:46.0016135Z b6f26b3bf34a: Pulling fs layer 2024-12-17T23:46:46.0016427Z 923309a5702b: Pulling fs layer 2024-12-17T23:46:46.0016699Z 5f4a19cb068d: Waiting 2024-12-17T23:46:46.0016948Z 8ef62406be30: Waiting 2024-12-17T23:46:46.0017195Z 2506b19110aa: Waiting 2024-12-17T23:46:46.0017448Z 05770cd73324: Pulling fs layer 2024-12-17T23:46:46.0017736Z ed70779f9e58: Pulling fs layer 2024-12-17T23:46:46.0018005Z bf298afd8feb: Waiting 2024-12-17T23:46:46.0018252Z 923309a5702b: Waiting 2024-12-17T23:46:46.0018507Z 21ff7b3f102d: Pulling fs layer 2024-12-17T23:46:46.0018787Z ed70779f9e58: Waiting 2024-12-17T23:46:46.0019041Z 54d4d01c4064: Pulling fs layer 2024-12-17T23:46:46.0019311Z 0b860640e765: Waiting 2024-12-17T23:46:46.0019555Z 05770cd73324: Waiting 2024-12-17T23:46:46.0019835Z 21ff7b3f102d: Waiting 2024-12-17T23:46:46.0020091Z 6630a9991ff0: Pulling fs layer 2024-12-17T23:46:46.0020388Z 23e1e14e321a: Pulling fs layer 2024-12-17T23:46:46.0020668Z f3cf2a094570: Pulling fs layer 2024-12-17T23:46:46.0021094Z 63ef1f16a20c: Pulling fs layer 2024-12-17T23:46:46.0021380Z 23e1e14e321a: Waiting 2024-12-17T23:46:46.0021652Z f3cf2a094570: Waiting 2024-12-17T23:46:46.0021909Z c5ab4a6866b6: Pulling fs layer 2024-12-17T23:46:46.0022195Z 6630a9991ff0: Waiting 2024-12-17T23:46:46.0022440Z 54d4d01c4064: Waiting 2024-12-17T23:46:46.0022696Z d286081aaf3d: Pulling fs layer 2024-12-17T23:46:46.0022979Z c5ab4a6866b6: Waiting 2024-12-17T23:46:46.0023224Z 63ef1f16a20c: Waiting 2024-12-17T23:46:46.0023473Z dff332de7f89: Pulling fs layer 2024-12-17T23:46:46.0023756Z d286081aaf3d: Waiting 2024-12-17T23:46:46.0024015Z ce994207386b: Pulling fs layer 2024-12-17T23:46:46.0024309Z 4d16d8f30102: Pulling fs layer 2024-12-17T23:46:46.0024588Z ce994207386b: Waiting 2024-12-17T23:46:46.0024833Z 5f204d7b058b: Pulling fs layer 2024-12-17T23:46:46.0025119Z c8024304b283: Pulling fs layer 2024-12-17T23:46:46.0025401Z 5f204d7b058b: Waiting 2024-12-17T23:46:46.0025657Z 8444d3a64f1d: Pulling fs layer 2024-12-17T23:46:46.0025921Z 8444d3a64f1d: Waiting 2024-12-17T23:46:46.0026170Z c8024304b283: Waiting 2024-12-17T23:46:46.0026424Z fb87d5a72395: Pulling fs layer 2024-12-17T23:46:46.0026712Z 40f7893b090d: Pulling fs layer 2024-12-17T23:46:46.0026990Z fb87d5a72395: Waiting 2024-12-17T23:46:46.0027239Z b5cda50ebeb5: Pulling fs layer 2024-12-17T23:46:46.0027531Z 85bc880833f6: Pulling fs layer 2024-12-17T23:46:46.0027808Z 40f7893b090d: Waiting 2024-12-17T23:46:46.0028055Z 85bc880833f6: Waiting 2024-12-17T23:46:46.0028312Z ae2d3bac1079: Pulling fs layer 2024-12-17T23:46:46.0028589Z 16c0054b16e2: Pulling fs layer 2024-12-17T23:46:46.0028882Z 3f9a54d0d31e: Pulling fs layer 2024-12-17T23:46:46.0029176Z 046cb5046fc7: Pulling fs layer 2024-12-17T23:46:46.0029451Z 16c0054b16e2: Waiting 2024-12-17T23:46:46.0029698Z 046cb5046fc7: Waiting 2024-12-17T23:46:46.0029940Z 6f89b73663e9: Pulling fs layer 2024-12-17T23:46:46.0030236Z d68f1afba5fa: Pulling fs layer 2024-12-17T23:46:46.0030527Z 56aaeadbe1af: Pulling fs layer 2024-12-17T23:46:46.0030830Z d68f1afba5fa: Waiting 2024-12-17T23:46:46.0031099Z bd90a525e7bb: Pulling fs layer 2024-12-17T23:46:46.0031389Z ae2d3bac1079: Waiting 2024-12-17T23:46:46.0031639Z 0895a1ba2fdb: Pulling fs layer 2024-12-17T23:46:46.0031938Z 57d5003c8ea2: Pulling fs layer 2024-12-17T23:46:46.0032233Z 8c175b92c272: Pulling fs layer 2024-12-17T23:46:46.0032525Z 4c1758e11fc4: Pulling fs layer 2024-12-17T23:46:46.0032821Z bd90a525e7bb: Waiting 2024-12-17T23:46:46.0033079Z 57d5003c8ea2: Waiting 2024-12-17T23:46:46.0033333Z 8c175b92c272: Waiting 2024-12-17T23:46:46.0033585Z 0895a1ba2fdb: Waiting 2024-12-17T23:46:46.0033850Z 1f48c41df7ce: Pulling fs layer 2024-12-17T23:46:46.0034168Z c58640635e76: Pulling fs layer 2024-12-17T23:46:46.0034435Z c58640635e76: Waiting 2024-12-17T23:46:46.0615758Z 7d35dd005d9e: Verifying Checksum 2024-12-17T23:46:46.0616098Z 7d35dd005d9e: Download complete 2024-12-17T23:46:46.1531742Z 685c62b4e7aa: Verifying Checksum 2024-12-17T23:46:46.1532101Z 685c62b4e7aa: Download complete 2024-12-17T23:46:46.3425164Z 86e5016c2693: Verifying Checksum 2024-12-17T23:46:46.3425549Z 86e5016c2693: Download complete 2024-12-17T23:46:46.4358691Z 443dc476b974: Verifying Checksum 2024-12-17T23:46:46.4359470Z 443dc476b974: Download complete 2024-12-17T23:46:46.5430868Z e45ebb0a20c4: Download complete 2024-12-17T23:46:46.6322438Z fc2ca34e133a: Verifying Checksum 2024-12-17T23:46:46.7092219Z 0b860640e765: Download complete 2024-12-17T23:46:46.7766125Z b77b2d9def9e: Verifying Checksum 2024-12-17T23:46:46.7766727Z b77b2d9def9e: Download complete 2024-12-17T23:46:46.8636276Z 3998865a4558: Download complete 2024-12-17T23:46:46.9266285Z a97b321f1897: Verifying Checksum 2024-12-17T23:46:46.9266664Z a97b321f1897: Download complete 2024-12-17T23:46:47.0184337Z a31cb67fce0c: Verifying Checksum 2024-12-17T23:46:47.0184724Z a31cb67fce0c: Download complete 2024-12-17T23:46:47.0375381Z 3323984ef3d0: Verifying Checksum 2024-12-17T23:46:47.0375799Z 3323984ef3d0: Download complete 2024-12-17T23:46:47.0459226Z 4f4fb700ef54: Verifying Checksum 2024-12-17T23:46:47.0460124Z 4f4fb700ef54: Download complete 2024-12-17T23:46:47.1181074Z 86e5016c2693: Pull complete 2024-12-17T23:46:47.1358104Z 7d35dd005d9e: Pull complete 2024-12-17T23:46:47.1478738Z 4597f957f51e: Verifying Checksum 2024-12-17T23:46:47.1479335Z 4597f957f51e: Download complete 2024-12-17T23:46:47.2464773Z 06b3659165cc: Download complete 2024-12-17T23:46:47.3481308Z 832d1727bc5d: Verifying Checksum 2024-12-17T23:46:47.3481825Z 832d1727bc5d: Download complete 2024-12-17T23:46:47.4337574Z 6d799691bec4: Verifying Checksum 2024-12-17T23:46:47.4337943Z 6d799691bec4: Download complete 2024-12-17T23:46:47.5003718Z 5cdb6e2777e2: Verifying Checksum 2024-12-17T23:46:47.5004051Z 5cdb6e2777e2: Download complete 2024-12-17T23:46:47.5838222Z 6f71cfa1fdc7: Download complete 2024-12-17T23:46:47.6509800Z 073117d82573: Verifying Checksum 2024-12-17T23:46:47.6510186Z 073117d82573: Download complete 2024-12-17T23:46:47.7589313Z ac6c785c6efc: Verifying Checksum 2024-12-17T23:46:47.7589703Z ac6c785c6efc: Download complete 2024-12-17T23:46:47.8383856Z 0559c3302578: Verifying Checksum 2024-12-17T23:46:47.8384286Z 0559c3302578: Download complete 2024-12-17T23:46:49.1233369Z f7b86d17c395: Verifying Checksum 2024-12-17T23:46:49.1233959Z f7b86d17c395: Download complete 2024-12-17T23:46:49.1976627Z da7628384d14: Verifying Checksum 2024-12-17T23:46:49.1977008Z da7628384d14: Download complete 2024-12-17T23:46:49.2096616Z a42b4bec9b5d: Verifying Checksum 2024-12-17T23:46:49.2097062Z a42b4bec9b5d: Download complete 2024-12-17T23:46:49.2669241Z 9ffe206157f6: Verifying Checksum 2024-12-17T23:46:49.2669789Z 9ffe206157f6: Download complete 2024-12-17T23:46:49.2829917Z 8ef62406be30: Verifying Checksum 2024-12-17T23:46:49.2830472Z 8ef62406be30: Download complete 2024-12-17T23:46:49.3609744Z 39d65501dedd: Verifying Checksum 2024-12-17T23:46:49.3610273Z 39d65501dedd: Download complete 2024-12-17T23:46:49.3814684Z fc717a79495f: Download complete 2024-12-17T23:46:49.4496688Z 1f5a706b22b7: Verifying Checksum 2024-12-17T23:46:49.4497418Z 1f5a706b22b7: Download complete 2024-12-17T23:46:49.5511147Z e7b892fbe708: Verifying Checksum 2024-12-17T23:46:49.5511812Z e7b892fbe708: Download complete 2024-12-17T23:46:49.6330137Z 5f4a19cb068d: Verifying Checksum 2024-12-17T23:46:49.6330881Z 5f4a19cb068d: Download complete 2024-12-17T23:46:49.7190082Z 2506b19110aa: Verifying Checksum 2024-12-17T23:46:49.7190524Z 2506b19110aa: Download complete 2024-12-17T23:46:49.7889029Z bf298afd8feb: Download complete 2024-12-17T23:46:49.8570047Z b6f26b3bf34a: Download complete 2024-12-17T23:46:50.3545403Z 923309a5702b: Verifying Checksum 2024-12-17T23:46:50.3546023Z 923309a5702b: Download complete 2024-12-17T23:46:50.4220587Z 05770cd73324: Verifying Checksum 2024-12-17T23:46:50.4221038Z 05770cd73324: Download complete 2024-12-17T23:46:50.4926135Z ed70779f9e58: Verifying Checksum 2024-12-17T23:46:50.4926654Z ed70779f9e58: Download complete 2024-12-17T23:46:50.5810642Z 21ff7b3f102d: Verifying Checksum 2024-12-17T23:46:50.5811026Z 21ff7b3f102d: Download complete 2024-12-17T23:46:50.6668907Z 54d4d01c4064: Verifying Checksum 2024-12-17T23:46:50.6669480Z 54d4d01c4064: Download complete 2024-12-17T23:46:50.9361608Z 6630a9991ff0: Verifying Checksum 2024-12-17T23:46:50.9361990Z 6630a9991ff0: Download complete 2024-12-17T23:46:51.0097182Z 23e1e14e321a: Verifying Checksum 2024-12-17T23:46:51.0097708Z 23e1e14e321a: Download complete 2024-12-17T23:46:51.1058963Z f3cf2a094570: Verifying Checksum 2024-12-17T23:46:51.1059412Z f3cf2a094570: Download complete 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8c175b92c272: Pull complete 2024-12-17T23:48:19.6302420Z 4c1758e11fc4: Pull complete 2024-12-17T23:48:20.0566116Z 1f48c41df7ce: Pull complete 2024-12-17T23:48:21.6762349Z c58640635e76: Pull complete 2024-12-17T23:48:22.0054440Z Digest: sha256:773389d5cd8b8fbf70c2486a99e636d02b0c002d125f9d1749ec5e7514de0f47 2024-12-17T23:48:22.0335099Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:48:22.0494402Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:48:22.0536377Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:48:22.0537359Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2024-12-17T23:48:22.0544135Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:22.0544513Z env: 2024-12-17T23:48:22.0544752Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:22.0545034Z ##[endgroup] 2024-12-17T23:48:22.0738455Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-12-17T23:48:22.0739050Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2024-12-17T23:48:22.0739564Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2024-12-17T23:48:22.0740061Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2024-12-17T23:48:22.0745572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:22.0745981Z env: 2024-12-17T23:48:22.0746208Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:22.0746470Z ##[endgroup] 2024-12-17T23:48:22.6567224Z Defaulting to user installation because normal site-packages is not writeable 2024-12-17T23:48:23.0650418Z Collecting psutil==5.9.1 2024-12-17T23:48:23.1017777Z Downloading psutil-5.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) 2024-12-17T23:48:23.2242508Z Collecting nvidia-ml-py==11.525.84 2024-12-17T23:48:23.2312449Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2024-12-17T23:48:23.4349259Z Installing collected packages: psutil, nvidia-ml-py 2024-12-17T23:48:23.6487097Z Successfully installed nvidia-ml-py-11.525.84 psutil-5.9.1 2024-12-17T23:48:23.8762967Z Prepare all required actions 2024-12-17T23:48:23.8763810Z Getting action download info 2024-12-17T23:48:24.0342047Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2024-12-17T23:48:24.6289213Z Download action repository 'actions/download-artifact@v4' (SHA:fa0a91b85d4f404e444e00e005971372dc801d16) 2024-12-17T23:48:25.5015192Z ##[group]Run ./.github/actions/download-build-artifacts 2024-12-17T23:48:25.5015687Z with: 2024-12-17T23:48:25.5016058Z name: linux-focal-py3.12-clang10 2024-12-17T23:48:25.5016475Z s3-bucket: gha-artifacts 2024-12-17T23:48:25.5016865Z env: 2024-12-17T23:48:25.5039982Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:25.5040303Z ##[endgroup] 2024-12-17T23:48:25.5107857Z ##[group]Run seemethere/download-artifact-s3@v4 2024-12-17T23:48:25.5108199Z with: 2024-12-17T23:48:25.5108413Z name: linux-focal-py3.12-clang10 2024-12-17T23:48:25.5108726Z s3-bucket: gha-artifacts 2024-12-17T23:48:25.5109022Z region: us-east-1 2024-12-17T23:48:25.5109240Z env: 2024-12-17T23:48:25.5109438Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:25.5109685Z ##[endgroup] 2024-12-17T23:48:26.2999789Z (node:40786) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-12-17T23:48:26.3000340Z 2024-12-17T23:48:26.3000537Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-12-17T23:48:26.3001093Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-12-17T23:48:26.3001752Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-12-17T23:48:27.9865416Z Found 1 objects with prefix pytorch/pytorch/12383255652/linux-focal-py3.12-clang10/ 2024-12-17T23:48:27.9866170Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-12-17T23:48:31.9820601Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2024-12-17T23:48:31.9827213Z Artifact download has finished successfully 2024-12-17T23:48:31.9990907Z ##[group]Run unzip -o artifacts.zip 2024-12-17T23:48:31.9991280Z unzip -o artifacts.zip 2024-12-17T23:48:31.9997104Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:31.9997640Z env: 2024-12-17T23:48:31.9997870Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:31.9998154Z ##[endgroup] 2024-12-17T23:48:32.0268240Z Archive: artifacts.zip 2024-12-17T23:48:32.0269264Z creating: dist/ 2024-12-17T23:48:32.9931554Z inflating: dist/torch-2.6.0a0+git0cdf8b1-cp312-cp312-linux_x86_64.whl 2024-12-17T23:48:32.9932091Z creating: build/custom_test_artifacts/ 2024-12-17T23:48:32.9932508Z creating: build/custom_test_artifacts/custom-op-build/ 2024-12-17T23:48:32.9933016Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2024-12-17T23:48:32.9934124Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeOutput.log 2024-12-17T23:48:32.9934818Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/ 2024-12-17T23:48:32.9935494Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CMakeSystem.cmake 2024-12-17T23:48:32.9936226Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/ 2024-12-17T23:48:32.9936952Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.18.5/CompilerIdC/tmp/ 2024-12-17T23:48:32.9937773Z inflating: 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build/bin/mobile_memory_cleanup 2024-12-17T23:48:38.2414490Z inflating: build/bin/scalar_tensor_test 2024-12-17T23:48:38.2720139Z inflating: build/bin/op_registration_test 2024-12-17T23:48:38.2770663Z inflating: build/bin/math_kernel_test 2024-12-17T23:48:38.2820994Z inflating: build/bin/memory_format_test 2024-12-17T23:48:38.2874788Z inflating: build/bin/native_test 2024-12-17T23:48:38.2922764Z inflating: build/bin/reduce_ops_test 2024-12-17T23:48:38.2972000Z inflating: build/bin/packedtensoraccessor_test 2024-12-17T23:48:38.3026001Z inflating: build/bin/quantized_test 2024-12-17T23:48:38.3093157Z inflating: build/bin/pow_test 2024-12-17T23:48:38.3141507Z inflating: build/bin/reportMemoryUsage_test 2024-12-17T23:48:38.3191906Z inflating: build/bin/test_edge_op_registration 2024-12-17T23:48:38.3195899Z inflating: build/bin/torch_shm_manager 2024-12-17T23:48:38.3211276Z inflating: build/bin/tutorial_tensorexpr 2024-12-17T23:48:38.4196883Z inflating: build/bin/test_tensorexpr 2024-12-17T23:48:38.4753297Z inflating: build/bin/test_jit 2024-12-17T23:48:38.4753991Z creating: .additional_ci_files/ 2024-12-17T23:48:38.4839321Z inflating: .additional_ci_files/test-times.json 2024-12-17T23:48:38.5180077Z inflating: .additional_ci_files/test-class-times.json 2024-12-17T23:48:38.5311070Z ##[group]Run rm artifacts.zip 2024-12-17T23:48:38.5311413Z rm artifacts.zip 2024-12-17T23:48:38.5325882Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:38.5326296Z env: 2024-12-17T23:48:38.5326530Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:38.5326810Z ##[endgroup] 2024-12-17T23:48:38.6607022Z ##[group]Run df -H 2024-12-17T23:48:38.6607301Z df -H 2024-12-17T23:48:38.6613126Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:38.6613530Z env: 2024-12-17T23:48:38.6613760Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:38.6614036Z ##[endgroup] 2024-12-17T23:48:38.6652246Z Filesystem Size Used Avail Use% Mounted on 2024-12-17T23:48:38.6652649Z devtmpfs 4.2M 0 4.2M 0% /dev 2024-12-17T23:48:38.6653003Z tmpfs 17G 0 17G 0% /dev/shm 2024-12-17T23:48:38.6653353Z tmpfs 6.6G 521k 6.6G 1% /run 2024-12-17T23:48:38.6653687Z /dev/nvme0n1p1 161G 25G 137G 16% / 2024-12-17T23:48:38.6654155Z tmpfs 17G 13k 17G 1% /tmp 2024-12-17T23:48:38.6654512Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2024-12-17T23:48:38.6686980Z Prepare all required actions 2024-12-17T23:48:38.6687467Z Getting action download info 2024-12-17T23:48:39.0943324Z ##[group]Run ./.github/actions/download-td-artifacts 2024-12-17T23:48:39.0943696Z with: 2024-12-17T23:48:39.0943915Z env: 2024-12-17T23:48:39.0944295Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.0944558Z ##[endgroup] 2024-12-17T23:48:39.1031282Z ##[group]Run seemethere/download-artifact-s3@v4 2024-12-17T23:48:39.1031645Z with: 2024-12-17T23:48:39.1031863Z name: td_results 2024-12-17T23:48:39.1032117Z s3-bucket: gha-artifacts 2024-12-17T23:48:39.1032399Z region: us-east-1 2024-12-17T23:48:39.1032626Z env: 2024-12-17T23:48:39.1032847Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.1033120Z ##[endgroup] 2024-12-17T23:48:39.5531954Z (node:40805) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2024-12-17T23:48:39.5532462Z 2024-12-17T23:48:39.5532736Z Please migrate your code to use AWS SDK for JavaScript (v3). 2024-12-17T23:48:39.5533292Z For more information, check the migration guide at https://a.co/7PzMCcy 2024-12-17T23:48:39.5533874Z (Use `node --trace-warnings ...` to show where the warning was created) 2024-12-17T23:48:39.6469545Z Found 1 objects with prefix pytorch/pytorch/12383255652/td_results/ 2024-12-17T23:48:39.6470248Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-12-17T23:48:39.6936914Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2024-12-17T23:48:39.6942329Z Artifact download has finished successfully 2024-12-17T23:48:39.7092372Z ##[group]Run mkdir -p .additional_ci_files 2024-12-17T23:48:39.7092759Z mkdir -p .additional_ci_files 2024-12-17T23:48:39.7093218Z mv td_results.json .additional_ci_files/td_results.json || true 2024-12-17T23:48:39.7099685Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:39.7100081Z env: 2024-12-17T23:48:39.7100324Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.7100622Z ##[endgroup] 2024-12-17T23:48:39.7181281Z ##[group]Run .github/scripts/parse_ref.py 2024-12-17T23:48:39.7181684Z .github/scripts/parse_ref.py 2024-12-17T23:48:39.7187051Z shell: /usr/bin/bash -e {0} 2024-12-17T23:48:39.7187360Z env: 2024-12-17T23:48:39.7187589Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.7187859Z ##[endgroup] 2024-12-17T23:48:39.7444934Z Prepare all required actions 2024-12-17T23:48:39.7480943Z ##[group]Run ./.github/actions/get-workflow-job-id 2024-12-17T23:48:39.7481311Z with: 2024-12-17T23:48:39.7481844Z github-token: *** 2024-12-17T23:48:39.7482085Z env: 2024-12-17T23:48:39.7482314Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.7482591Z ##[endgroup] 2024-12-17T23:48:39.7504192Z ##[group]Run set -eux 2024-12-17T23:48:39.7504482Z set -eux 2024-12-17T23:48:39.7504947Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-12-17T23:48:39.7510823Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:39.7511205Z env: 2024-12-17T23:48:39.7511438Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:39.7511957Z GITHUB_TOKEN: *** 2024-12-17T23:48:39.7512212Z ##[endgroup] 2024-12-17T23:48:39.7534068Z + python3 .github/scripts/get_workflow_job_id.py 12383255652 i-0667d3e1c026d2cb1 2024-12-17T23:48:43.2953580Z setting job-id=34566045704 2024-12-17T23:48:43.2954196Z setting job-name=linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:48:43.3135536Z Prepare all required actions 2024-12-17T23:48:43.3135948Z Getting action download info 2024-12-17T23:48:43.4422762Z ##[group]Run ./.github/actions/filter-test-configs 2024-12-17T23:48:43.4423133Z with: 2024-12-17T23:48:43.4423558Z github-token: *** 2024-12-17T23:48:43.4425665Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]} 2024-12-17T23:48:43.4428195Z job-name: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:48:43.4428656Z env: 2024-12-17T23:48:43.4428871Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:43.4429155Z ##[endgroup] 2024-12-17T23:48:43.4471923Z ##[group]Run nick-fields/retry@v3.0.0 2024-12-17T23:48:43.4472249Z with: 2024-12-17T23:48:43.4472471Z shell: bash 2024-12-17T23:48:43.4472697Z timeout_minutes: 10 2024-12-17T23:48:43.4472957Z max_attempts: 5 2024-12-17T23:48:43.4473205Z retry_wait_seconds: 30 2024-12-17T23:48:43.4474011Z 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 2024-12-17T23:48:43.4474861Z polling_interval_seconds: 1 2024-12-17T23:48:43.4475161Z warning_on_retry: true 2024-12-17T23:48:43.4475433Z continue_on_error: false 2024-12-17T23:48:43.4475702Z env: 2024-12-17T23:48:43.4475918Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:43.4476403Z GITHUB_TOKEN: *** 2024-12-17T23:48:43.4476655Z ##[endgroup] 2024-12-17T23:48:43.5386693Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2024-12-17T23:48:43.7766723Z Defaulting to user installation because normal site-packages is not writeable 2024-12-17T23:48:43.9140969Z Collecting requests==2.27.1 2024-12-17T23:48:43.9487764Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2024-12-17T23:48:44.1277581Z Collecting pyyaml==6.0.1 2024-12-17T23:48:44.1321531Z Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB) 2024-12-17T23:48:44.2174238Z Collecting certifi>=2017.4.17 2024-12-17T23:48:44.2218902Z Downloading certifi-2024.12.14-py3-none-any.whl (164 kB) 2024-12-17T23:48:44.5304024Z Collecting charset-normalizer~=2.0.0 2024-12-17T23:48:44.5345378Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2024-12-17T23:48:44.5449798Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2024-12-17T23:48:44.5453764Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2024-12-17T23:48:44.6211059Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2024-12-17T23:48:44.8004012Z Successfully installed certifi-2024.12.14 charset-normalizer-2.0.12 pyyaml-6.0.1 requests-2.27.1 2024-12-17T23:48:45.5222666Z Command completed after 1 attempt(s). 2024-12-17T23:48:45.5312750Z ##[group]Run set -x 2024-12-17T23:48:45.5313038Z set -x 2024-12-17T23:48:45.5313287Z  2024-12-17T23:48:45.5313680Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-12-17T23:48:45.5314189Z # in runner workspace 2024-12-17T23:48:45.5314604Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2024-12-17T23:48:45.5321259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:45.5321766Z env: 2024-12-17T23:48:45.5322165Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:45.5322551Z ##[endgroup] 2024-12-17T23:48:45.5365663Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2024-12-17T23:48:45.5641001Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2024-12-17T23:48:45.5641543Z echo "Workflow: ${GITHUB_WORKFLOW}" 2024-12-17T23:48:45.5641898Z echo "Job name: ${JOB_NAME}" 2024-12-17T23:48:45.5642193Z  2024-12-17T23:48:45.5642585Z # Use relative path here as this could be checked out anywhere, not necessarily 2024-12-17T23:48:45.5643079Z # in runner workspace 2024-12-17T23:48:45.5643526Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2024-12-17T23:48:45.5644029Z  --workflow "${GITHUB_WORKFLOW}" \ 2024-12-17T23:48:45.5644515Z  --job-name "${JOB_NAME}" \ 2024-12-17T23:48:45.5646764Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]}" \ 2024-12-17T23:48:45.5648984Z  --selected-test-configs "" \ 2024-12-17T23:48:45.5649336Z  --pr-number "${PR_NUMBER}" \ 2024-12-17T23:48:45.5649651Z  --tag "${TAG}" \ 2024-12-17T23:48:45.5649962Z  --event-name "${EVENT_NAME}" \ 2024-12-17T23:48:45.5650372Z  --schedule "${SCHEDULE}" \ 2024-12-17T23:48:45.5650712Z  --branch "${HEAD_BRANCH}" 2024-12-17T23:48:45.5656305Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:45.5656689Z env: 2024-12-17T23:48:45.5656922Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:45.5657411Z GITHUB_TOKEN: *** 2024-12-17T23:48:45.5657812Z JOB_NAME: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:48:45.5658545Z PR_NUMBER: 2024-12-17T23:48:45.5658781Z TAG: 2024-12-17T23:48:45.5658988Z EVENT_NAME: push 2024-12-17T23:48:45.5659235Z SCHEDULE: 2024-12-17T23:48:45.5659462Z HEAD_BRANCH: 2024-12-17T23:48:45.5659699Z ##[endgroup] 2024-12-17T23:48:45.5681757Z Workflow: pull 2024-12-17T23:48:45.5682162Z Job name: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:48:45.8168656Z ##[group]Run echo "Filtered matrix:" 2024-12-17T23:48:45.8169073Z echo "Filtered matrix:" 2024-12-17T23:48:45.8171262Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}]}" 2024-12-17T23:48:45.8173436Z  2024-12-17T23:48:45.8173672Z echo 2024-12-17T23:48:45.8173959Z echo "Is the current job unstable? False" 2024-12-17T23:48:45.8174324Z  2024-12-17T23:48:45.8174556Z echo 2024-12-17T23:48:45.8174843Z echo "Is keep-going label set? False" 2024-12-17T23:48:45.8175193Z  2024-12-17T23:48:45.8175405Z echo 2024-12-17T23:48:45.8175846Z echo "Renabled issues? " 2024-12-17T23:48:45.8181581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:45.8181981Z env: 2024-12-17T23:48:45.8182225Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:45.8182510Z ##[endgroup] 2024-12-17T23:48:45.8209974Z Filtered matrix: 2024-12-17T23:48:45.8213506Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge}]} 2024-12-17T23:48:45.8217202Z 2024-12-17T23:48:45.8217414Z Is the current job unstable? False 2024-12-17T23:48:45.8217797Z 2024-12-17T23:48:45.8217995Z Is keep-going label set? False 2024-12-17T23:48:45.8218317Z 2024-12-17T23:48:45.8218501Z Renabled issues? 2024-12-17T23:48:45.8342253Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-12-17T23:48:45.8342784Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2024-12-17T23:48:45.8348224Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-17T23:48:45.8348617Z env: 2024-12-17T23:48:45.8348847Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:45.8349126Z JOB_TIMEOUT: 600 2024-12-17T23:48:45.8349357Z ##[endgroup] 2024-12-17T23:48:45.8479968Z ##[group]Run set -x 2024-12-17T23:48:45.8480307Z set -x 2024-12-17T23:48:45.8480556Z  2024-12-17T23:48:45.8480827Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2024-12-17T23:48:45.8481251Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2024-12-17T23:48:45.8481742Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2024-12-17T23:48:45.8482129Z  TEST_COMMAND=.ci/onnx/test.sh 2024-12-17T23:48:45.8482453Z else 2024-12-17T23:48:45.8482724Z  TEST_COMMAND=.ci/pytorch/test.sh 2024-12-17T23:48:45.8483054Z fi 2024-12-17T23:48:45.8483265Z  2024-12-17T23:48:45.8483641Z # detached container should get cleaned up by teardown_ec2_linux 2024-12-17T23:48:45.8484197Z # TODO: Stop building test binaries as part of the build phase 2024-12-17T23:48:45.8484670Z # Used for GPU_FLAG since that doesn't play nice 2024-12-17T23:48:45.8485126Z # shellcheck disable=SC2086,SC2090 2024-12-17T23:48:45.8485481Z container_name=$(docker run \ 2024-12-17T23:48:45.8485795Z  ${GPU_FLAG:-} \ 2024-12-17T23:48:45.8486112Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2024-12-17T23:48:45.8486475Z  -e BUILD_ENVIRONMENT \ 2024-12-17T23:48:45.8486793Z  -e PR_NUMBER \ 2024-12-17T23:48:45.8487083Z  -e GITHUB_ACTIONS \ 2024-12-17T23:48:45.8487377Z  -e GITHUB_REPOSITORY \ 2024-12-17T23:48:45.8487691Z  -e GITHUB_WORKFLOW \ 2024-12-17T23:48:45.8487997Z  -e GITHUB_JOB \ 2024-12-17T23:48:45.8488283Z  -e GITHUB_RUN_ID \ 2024-12-17T23:48:45.8488580Z  -e GITHUB_RUN_NUMBER \ 2024-12-17T23:48:45.8488885Z  -e GITHUB_RUN_ATTEMPT \ 2024-12-17T23:48:45.8489193Z  -e JOB_ID \ 2024-12-17T23:48:45.8489462Z  -e JOB_NAME \ 2024-12-17T23:48:45.8489740Z  -e BASE_SHA \ 2024-12-17T23:48:45.8490012Z  -e BRANCH \ 2024-12-17T23:48:45.8490266Z  -e SHA1 \ 2024-12-17T23:48:45.8490534Z  -e AWS_DEFAULT_REGION \ 2024-12-17T23:48:45.8490844Z  -e IN_WHEEL_TEST \ 2024-12-17T23:48:45.8491136Z  -e SHARD_NUMBER \ 2024-12-17T23:48:45.8491433Z  -e TEST_CONFIG \ 2024-12-17T23:48:45.8491710Z  -e NUM_TEST_SHARDS \ 2024-12-17T23:48:45.8492019Z  -e REENABLED_ISSUES \ 2024-12-17T23:48:45.8492343Z  -e CONTINUE_THROUGH_ERROR \ 2024-12-17T23:48:45.8492672Z  -e VERBOSE_TEST_LOGS \ 2024-12-17T23:48:45.8492983Z  -e TEST_SHOWLOCALS \ 2024-12-17T23:48:45.8493271Z  -e NO_TEST_TIMEOUT \ 2024-12-17T23:48:45.8493561Z  -e NO_TD \ 2024-12-17T23:48:45.8493831Z  -e TD_DISTRIBUTED \ 2024-12-17T23:48:45.8494124Z  -e PR_LABELS \ 2024-12-17T23:48:45.8494437Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2024-12-17T23:48:45.8494770Z  -e SCCACHE_BUCKET \ 2024-12-17T23:48:45.8495071Z  -e SCCACHE_REGION \ 2024-12-17T23:48:45.8495375Z  -e SCCACHE_S3_KEY_PREFIX \ 2024-12-17T23:48:45.8495689Z  -e XLA_CUDA \ 2024-12-17T23:48:45.8495993Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2024-12-17T23:48:45.8496506Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2024-12-17T23:48:45.8496883Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2024-12-17T23:48:45.8497266Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2024-12-17T23:48:45.8497626Z  -e HUGGING_FACE_HUB_TOKEN \ 2024-12-17T23:48:45.8497972Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2024-12-17T23:48:45.8498311Z  -e DASHBOARD_TAG \ 2024-12-17T23:48:45.8498591Z  -e IS_A100_RUNNER \ 2024-12-17T23:48:45.8498893Z  -e ARTIFACTS_FILE_SUFFIX \ 2024-12-17T23:48:45.8499276Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2024-12-17T23:48:45.8499693Z  --security-opt seccomp=unconfined \ 2024-12-17T23:48:45.8500138Z  --cap-add=SYS_PTRACE \ 2024-12-17T23:48:45.8500438Z  --ipc=host \ 2024-12-17T23:48:45.8500723Z  --shm-size="${SHM_SIZE}" \ 2024-12-17T23:48:45.8501030Z  --tty \ 2024-12-17T23:48:45.8501284Z  --detach \ 2024-12-17T23:48:45.8501575Z  --name="${container_name}" \ 2024-12-17T23:48:45.8501891Z  --user jenkins \ 2024-12-17T23:48:45.8502262Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2024-12-17T23:48:45.8502682Z  -w /var/lib/jenkins/workspace \ 2024-12-17T23:48:45.8503012Z  "${DOCKER_IMAGE}" 2024-12-17T23:48:45.8503288Z ) 2024-12-17T23:48:45.8503592Z # Propagate download.pytorch.org IP to container 2024-12-17T23:48:45.8504269Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2024-12-17T23:48:45.8505003Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2024-12-17T23:48:45.8505733Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2024-12-17T23:48:45.8511127Z shell: /usr/bin/bash -e {0} 2024-12-17T23:48:45.8511412Z env: 2024-12-17T23:48:45.8511650Z GIT_DEFAULT_BRANCH: main 2024-12-17T23:48:45.8511971Z BUILD_ENVIRONMENT: linux-focal-py3.12-clang10 2024-12-17T23:48:45.8512323Z PR_NUMBER: 2024-12-17T23:48:45.8512578Z GITHUB_REPOSITORY: pytorch/pytorch 2024-12-17T23:48:45.8512905Z GITHUB_WORKFLOW: pull 2024-12-17T23:48:45.8513174Z GITHUB_JOB: test 2024-12-17T23:48:45.8513413Z GITHUB_RUN_ID: 12383255652 2024-12-17T23:48:45.8513697Z GITHUB_RUN_NUMBER: 276594 2024-12-17T23:48:45.8513975Z GITHUB_RUN_ATTEMPT: 1 2024-12-17T23:48:45.8514234Z JOB_ID: 34566045704 2024-12-17T23:48:45.8514628Z JOB_NAME: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:48:45.8515067Z BRANCH: release/2.6 2024-12-17T23:48:45.8515363Z SHA1: 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:48:45.8515759Z BASE_SHA: 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:48:45.8516112Z TEST_CONFIG: default 2024-12-17T23:48:45.8516370Z SHARD_NUMBER: 1 2024-12-17T23:48:45.8516598Z NUM_TEST_SHARDS: 5 2024-12-17T23:48:45.8516854Z REENABLED_ISSUES: 2024-12-17T23:48:45.8517118Z CONTINUE_THROUGH_ERROR: False 2024-12-17T23:48:45.8517412Z VERBOSE_TEST_LOGS: False 2024-12-17T23:48:45.8517690Z TEST_SHOWLOCALS: False 2024-12-17T23:48:45.8517951Z NO_TEST_TIMEOUT: False 2024-12-17T23:48:45.8518214Z NO_TD: False 2024-12-17T23:48:45.8518457Z TD_DISTRIBUTED: False 2024-12-17T23:48:45.8518784Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2024-12-17T23:48:45.8519159Z SCCACHE_REGION: us-east-1 2024-12-17T23:48:45.8519436Z SCCACHE_S3_KEY_PREFIX: pull 2024-12-17T23:48:45.8519721Z SHM_SIZE: 1g 2024-12-17T23:48:45.8520388Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.12-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:48:45.8521123Z XLA_CUDA: 2024-12-17T23:48:45.8521577Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2024-12-17T23:48:45.8522051Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2024-12-17T23:48:45.8522382Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2024-12-17T23:48:45.8522797Z DASHBOARD_TAG: 2024-12-17T23:48:45.8523244Z HUGGING_FACE_HUB_TOKEN: *** 2024-12-17T23:48:45.8523676Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2024-12-17T23:48:45.8523982Z IS_A100_RUNNER: 0 2024-12-17T23:48:45.8524343Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.4xlarge_34566045704 2024-12-17T23:48:45.8524756Z ##[endgroup] 2024-12-17T23:48:45.8545877Z + [[ default == \m\u\l\t\i\g\p\u ]] 2024-12-17T23:48:45.8546246Z + [[ linux-focal-py3.12-clang10 == *onnx* ]] 2024-12-17T23:48:45.8546599Z + TEST_COMMAND=.ci/pytorch/test.sh 2024-12-17T23:48:45.8554009Z +++ nproc --ignore=2 2024-12-17T23:48:45.8673947Z ++ 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=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -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 -e IS_A100_RUNNER -e ARTIFACTS_FILE_SUFFIX --env-file=/tmp/github_env_12383255652 --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-clang10:45e1356b47a284893081276eff3000b7b534f3b1 2024-12-17T23:48:58.8576905Z + container_name=8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-17T23:48:58.8578512Z + grep download.pytorch.org /etc/hosts 2024-12-17T23:48:58.8580274Z + docker exec -i 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 sudo bash -c '/bin/cat >> /etc/hosts' 2024-12-17T23:48:58.9872531Z + echo DOCKER_CONTAINER_ID=8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-17T23:48:58.9875773Z ++ echo dist/torch-2.6.0a0+git0cdf8b1-cp312-cp312-linux_x86_64.whl 2024-12-17T23:48:58.9877978Z + docker exec -t 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 sh -c 'python3 -m pip install dist/torch-2.6.0a0+git0cdf8b1-cp312-cp312-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2024-12-17T23:48:59.3682867Z Processing ./dist/torch-2.6.0a0+git0cdf8b1-cp312-cp312-linux_x86_64.whl (from torch==2.6.0a0+git0cdf8b1) 2024-12-17T23:48:59.8049323Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (3.16.1) 2024-12-17T23:48:59.8052290Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (4.12.2) 2024-12-17T23:48:59.8054924Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (2.8.8) 2024-12-17T23:48:59.8057620Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (3.1.4) 2024-12-17T23:48:59.8060688Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (2024.10.0) 2024-12-17T23:48:59.8073047Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (75.1.0) 2024-12-17T23:48:59.8077998Z Requirement already satisfied: sympy==1.13.1 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (1.13.1) 2024-12-17T23:48:59.8092998Z 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==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (1.3.0) 2024-12-17T23:48:59.8109341Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (3.3.0) 2024-12-17T23:48:59.8123823Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from opt-einsum>=3.3->torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (1.26.2) 2024-12-17T23:48:59.8224440Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from jinja2->torch==2.6.0a0+git0cdf8b1->torch==2.6.0a0+git0cdf8b1) (3.0.2) 2024-12-17T23:49:00.0073789Z Installing collected packages: torch 2024-12-17T23:49:08.5983272Z Successfully installed torch-2.6.0a0+git0cdf8b1 2024-12-17T23:49:08.6712481Z + export TERM=vt100 2024-12-17T23:49:08.6712769Z + TERM=vt100 2024-12-17T23:49:08.6715633Z ++ dirname .ci/pytorch/test.sh 2024-12-17T23:49:08.6722108Z + source .ci/pytorch/common.sh 2024-12-17T23:49:08.6725043Z +++ dirname .ci/pytorch/common.sh 2024-12-17T23:49:08.6730699Z ++ source .ci/pytorch/common_utils.sh 2024-12-17T23:49:08.6732261Z +++ declare -f -t trap_add 2024-12-17T23:49:08.6737959Z ++ set -ex 2024-12-17T23:49:08.6738329Z ++ [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-12-17T23:49:08.6738750Z ++ BUILD_TEST_LIBTORCH=0 2024-12-17T23:49:08.6739058Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-12-17T23:49:08.6739448Z + [[ -d /var/lib/jenkins/workspace ]] 2024-12-17T23:49:08.6741797Z ++ stat -c %u /var/lib/jenkins/workspace 2024-12-17T23:49:08.6753326Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2024-12-17T23:49:08.6753703Z + trap_add cleanup_workspace EXIT 2024-12-17T23:49:08.6754031Z + trap_add_cmd=cleanup_workspace 2024-12-17T23:49:08.6754312Z + shift 2024-12-17T23:49:08.6754568Z + for trap_add_name in "$@" 2024-12-17T23:49:08.6759770Z +++ trap -p EXIT 2024-12-17T23:49:08.6762517Z ++ eval 'extract_trap_cmd ' 2024-12-17T23:49:08.6763041Z +++ extract_trap_cmd 2024-12-17T23:49:08.6763310Z +++ printf '%s\n' '' 2024-12-17T23:49:08.6763570Z ++ printf '%s\n' cleanup_workspace 2024-12-17T23:49:08.6764375Z + trap -- ' 2024-12-17T23:49:08.6764802Z cleanup_workspace' EXIT 2024-12-17T23:49:08.6765271Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2024-12-17T23:49:09.1290779Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2024-12-17T23:49:09.1305652Z + echo 'Environment variables:' 2024-12-17T23:49:09.1305992Z Environment variables: 2024-12-17T23:49:09.1306257Z + env 2024-12-17T23:49:09.1313137Z INSTALLED_DB=yes 2024-12-17T23:49:09.1313713Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-17T23:49:09.1314191Z CONTINUE_THROUGH_ERROR=False 2024-12-17T23:49:09.1314535Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10 2024-12-17T23:49:09.1314904Z HOSTNAME=8f3336a23ff9 2024-12-17T23:49:09.1315480Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1316121Z GITHUB_ACTION=__self 2024-12-17T23:49:09.1316434Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-12-17T23:49:09.1316748Z GITHUB_RUN_NUMBER=276594 2024-12-17T23:49:09.1317021Z TEST_CONFIG=default 2024-12-17T23:49:09.1317288Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-12-17T23:49:09.1317691Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-12-17T23:49:09.1318069Z IS_A100_RUNNER=0 2024-12-17T23:49:09.1318569Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2024-12-17T23:49:09.1318887Z GITHUB_TRIGGERING_ACTOR=malfet 2024-12-17T23:49:09.1319195Z GITHUB_REF_TYPE=branch 2024-12-17T23:49:09.1319481Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-12-17T23:49:09.1319809Z BASE_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1320158Z XLA_CUDA= 2024-12-17T23:49:09.1320500Z HUGGING_FACE_HUB_TOKEN=*** 2024-12-17T23:49:09.1322446Z *** 2024-12-17T23:49:09.1322692Z GITHUB_REPOSITORY_ID=65600975 2024-12-17T23:49:09.1322994Z GITHUB_ACTIONS=true 2024-12-17T23:49:09.1323274Z SHA1=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1323671Z GITHUB_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1324237Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/release/2.6 2024-12-17T23:49:09.1324755Z UCC_HOME=/usr 2024-12-17T23:49:09.1324999Z VERBOSE_TEST_LOGS=False 2024-12-17T23:49:09.1325266Z GITHUB_REF=refs/heads/release/2.6 2024-12-17T23:49:09.1325573Z SHARD_NUMBER=1 2024-12-17T23:49:09.1325828Z GITHUB_REF_PROTECTED=true 2024-12-17T23:49:09.1326111Z HOME=/var/lib/jenkins 2024-12-17T23:49:09.1326411Z GITHUB_API_URL=https://api.github.com 2024-12-17T23:49:09.1326894Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-12-17T23:49:09.1327209Z UCX_COMMIT= 2024-12-17T23:49:09.1327449Z SCCACHE_S3_KEY_PREFIX=pull 2024-12-17T23:49:09.1327728Z NUM_TEST_SHARDS=5 2024-12-17T23:49:09.1327953Z UCX_HOME=/usr 2024-12-17T23:49:09.1328544Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1329332Z JOB_NAME=linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:49:09.1330090Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1330910Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-12-17T23:49:09.1331423Z GITHUB_EVENT_NAME=push 2024-12-17T23:49:09.1331678Z DASHBOARD_TAG= 2024-12-17T23:49:09.1331924Z GITHUB_RUN_ID=12383255652 2024-12-17T23:49:09.1332576Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1333269Z GITHUB_ACTOR=malfet 2024-12-17T23:49:09.1333519Z PR_NUMBER= 2024-12-17T23:49:09.1333733Z DESIRED_CUDA= 2024-12-17T23:49:09.1333972Z GITHUB_RUN_ATTEMPT=1 2024-12-17T23:49:09.1334255Z ANACONDA_PYTHON_VERSION=3.12 2024-12-17T23:49:09.1334610Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-12-17T23:49:09.1334970Z TERM=vt100 2024-12-17T23:49:09.1335193Z INSTALLED_VISION=yes 2024-12-17T23:49:09.1335451Z BRANCH=release/2.6 2024-12-17T23:49:09.1335713Z SCCACHE_REGION=us-east-1 2024-12-17T23:49:09.1335995Z OPENSSL_ROOT_DIR=/opt/openssl 2024-12-17T23:49:09.1336293Z CUDA_PATH=/usr/local/cuda 2024-12-17T23:49:09.1336818Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-12-17T23:49:09.1337416Z GITHUB_SERVER_URL=https://github.com 2024-12-17T23:49:09.1337736Z UCC_COMMIT= 2024-12-17T23:49:09.1337962Z REENABLED_ISSUES= 2024-12-17T23:49:09.1338202Z DOCS= 2024-12-17T23:49:09.1338398Z SHLVL=1 2024-12-17T23:49:09.1338615Z MAX_JOBS=14 2024-12-17T23:49:09.1338840Z GITHUB_ACTOR_ID=2453524 2024-12-17T23:49:09.1339194Z GITHUB_WORKFLOW_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1339589Z GITHUB_REF_NAME=release/2.6 2024-12-17T23:49:09.1340011Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-12-17T23:49:09.1340453Z GITHUB_JOB=test 2024-12-17T23:49:09.1340696Z NO_TEST_TIMEOUT=False 2024-12-17T23:49:09.1340958Z TD_DISTRIBUTED=False 2024-12-17T23:49:09.1341221Z GITHUB_REPOSITORY=pytorch/pytorch 2024-12-17T23:49:09.1341536Z GITHUB_RETENTION_DAYS=90 2024-12-17T23:49:09.1341814Z OPENSSL_DIR=/opt/openssl 2024-12-17T23:49:09.1342090Z GITHUB_ACTION_REPOSITORY= 2024-12-17T23:49:09.1342882Z 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 2024-12-17T23:49:09.1343703Z GITHUB_BASE_REF= 2024-12-17T23:49:09.1343934Z INSTALLED_ACL= 2024-12-17T23:49:09.1344289Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_34566045704 2024-12-17T23:49:09.1344702Z CI=true 2024-12-17T23:49:09.1344931Z GITHUB_REPOSITORY_OWNER=pytorch 2024-12-17T23:49:09.1345212Z JOB_ID=34566045704 2024-12-17T23:49:09.1345556Z INSTALLED_PROTOBUF=yes 2024-12-17T23:49:09.1345817Z GITHUB_HEAD_REF= 2024-12-17T23:49:09.1346059Z GITHUB_ACTION_REF= 2024-12-17T23:49:09.1346361Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-12-17T23:49:09.1346715Z TEST_SHOWLOCALS=False 2024-12-17T23:49:09.1346979Z GITHUB_WORKFLOW=pull 2024-12-17T23:49:09.1347250Z DEBIAN_FRONTEND=noninteractive 2024-12-17T23:49:09.1347884Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1348536Z NO_TD=False 2024-12-17T23:49:09.1348765Z SKIP_SCCACHE_INITIALIZATION=1 2024-12-17T23:49:09.1349057Z _=/usr/bin/env 2024-12-17T23:49:09.1349407Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2024-12-17T23:49:09.1447341Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch 2024-12-17T23:49:09.1447997Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-12-17T23:49:09.1448673Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib 2024-12-17T23:49:09.1449385Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/test 2024-12-17T23:49:09.1449856Z + BUILD_DIR=build 2024-12-17T23:49:09.1450118Z + BUILD_RENAMED_DIR=build_renamed 2024-12-17T23:49:09.1450430Z + BUILD_BIN_DIR=build/bin 2024-12-17T23:49:09.1450705Z + SHARD_NUMBER=1 2024-12-17T23:49:09.1450935Z + NUM_TEST_SHARDS=5 2024-12-17T23:49:09.1451188Z + export VALGRIND=ON 2024-12-17T23:49:09.1451446Z + VALGRIND=ON 2024-12-17T23:49:09.1451721Z + [[ linux-focal-py3.12-clang10 == *clang9* ]] 2024-12-17T23:49:09.1452090Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-12-17T23:49:09.1452400Z + [[ 0 == \1 ]] 2024-12-17T23:49:09.1452633Z + [[ False == \1 ]] 2024-12-17T23:49:09.1452958Z + [[ linux-focal-py3.12-clang10 != *bazel* ]] 2024-12-17T23:49:09.1453571Z ++ realpath build/custom_test_artifacts 2024-12-17T23:49:09.1461066Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2024-12-17T23:49:09.1461597Z + [[ -n '' ]] 2024-12-17T23:49:09.1461843Z + echo 'Environment variables' 2024-12-17T23:49:09.1462152Z Environment variables 2024-12-17T23:49:09.1462406Z + env 2024-12-17T23:49:09.1467810Z INSTALLED_DB=yes 2024-12-17T23:49:09.1468436Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-17T23:49:09.1468996Z CONTINUE_THROUGH_ERROR=False 2024-12-17T23:49:09.1469444Z BUILD_ENVIRONMENT=linux-focal-py3.12-clang10 2024-12-17T23:49:09.1469802Z HOSTNAME=8f3336a23ff9 2024-12-17T23:49:09.1470500Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1471200Z GITHUB_ACTION=__self 2024-12-17T23:49:09.1471484Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2024-12-17T23:49:09.1471803Z GITHUB_RUN_NUMBER=276594 2024-12-17T23:49:09.1472075Z TEST_CONFIG=default 2024-12-17T23:49:09.1472347Z GITHUB_REPOSITORY_OWNER_ID=21003710 2024-12-17T23:49:09.1472686Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2024-12-17T23:49:09.1473018Z IS_A100_RUNNER=0 2024-12-17T23:49:09.1473628Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2024-12-17T23:49:09.1473981Z GITHUB_TRIGGERING_ACTOR=malfet 2024-12-17T23:49:09.1474394Z GITHUB_REF_TYPE=branch 2024-12-17T23:49:09.1474735Z TORCH_CUDA_ARCH_LIST=Maxwell 2024-12-17T23:49:09.1475147Z BASE_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1475545Z XLA_CUDA= 2024-12-17T23:49:09.1475904Z HUGGING_FACE_HUB_TOKEN=*** 2024-12-17T23:49:09.1476535Z *** 2024-12-17T23:49:09.1476816Z GITHUB_REPOSITORY_ID=65600975 2024-12-17T23:49:09.1477112Z GITHUB_ACTIONS=true 2024-12-17T23:49:09.1477438Z SHA1=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1477829Z GITHUB_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1478386Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/release/2.6 2024-12-17T23:49:09.1478894Z UCC_HOME=/usr 2024-12-17T23:49:09.1479138Z VERBOSE_TEST_LOGS=False 2024-12-17T23:49:09.1479419Z GITHUB_REF=refs/heads/release/2.6 2024-12-17T23:49:09.1479885Z SHARD_NUMBER=1 2024-12-17T23:49:09.1480120Z GITHUB_REF_PROTECTED=true 2024-12-17T23:49:09.1480398Z HOME=/var/lib/jenkins 2024-12-17T23:49:09.1480691Z GITHUB_API_URL=https://api.github.com 2024-12-17T23:49:09.1481041Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2024-12-17T23:49:09.1481350Z UCX_COMMIT= 2024-12-17T23:49:09.1481660Z SCCACHE_S3_KEY_PREFIX=pull 2024-12-17T23:49:09.1481943Z NUM_TEST_SHARDS=5 2024-12-17T23:49:09.1482185Z UCX_HOME=/usr 2024-12-17T23:49:09.1482763Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1483552Z JOB_NAME=linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-17T23:49:09.1484404Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1485225Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2024-12-17T23:49:09.1485741Z GITHUB_EVENT_NAME=push 2024-12-17T23:49:09.1486017Z DASHBOARD_TAG= 2024-12-17T23:49:09.1486268Z GITHUB_RUN_ID=12383255652 2024-12-17T23:49:09.1486916Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1487590Z GITHUB_ACTOR=malfet 2024-12-17T23:49:09.1487834Z PR_NUMBER= 2024-12-17T23:49:09.1488057Z DESIRED_CUDA= 2024-12-17T23:49:09.1488292Z GITHUB_RUN_ATTEMPT=1 2024-12-17T23:49:09.1488545Z VALGRIND=ON 2024-12-17T23:49:09.1488770Z ANACONDA_PYTHON_VERSION=3.12 2024-12-17T23:49:09.1489118Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2024-12-17T23:49:09.1489479Z TERM=vt100 2024-12-17T23:49:09.1489704Z INSTALLED_VISION=yes 2024-12-17T23:49:09.1489949Z BRANCH=release/2.6 2024-12-17T23:49:09.1490210Z SCCACHE_REGION=us-east-1 2024-12-17T23:49:09.1490495Z OPENSSL_ROOT_DIR=/opt/openssl 2024-12-17T23:49:09.1490791Z CUDA_PATH=/usr/local/cuda 2024-12-17T23:49:09.1491324Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2024-12-17T23:49:09.1491906Z GITHUB_SERVER_URL=https://github.com 2024-12-17T23:49:09.1492216Z UCC_COMMIT= 2024-12-17T23:49:09.1492441Z REENABLED_ISSUES= 2024-12-17T23:49:09.1492675Z DOCS= 2024-12-17T23:49:09.1492880Z SHLVL=1 2024-12-17T23:49:09.1493076Z MAX_JOBS=14 2024-12-17T23:49:09.1493302Z GITHUB_ACTOR_ID=2453524 2024-12-17T23:49:09.1493654Z GITHUB_WORKFLOW_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-17T23:49:09.1494059Z GITHUB_REF_NAME=release/2.6 2024-12-17T23:49:09.1494475Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2024-12-17T23:49:09.1494904Z GITHUB_JOB=test 2024-12-17T23:49:09.1495145Z NO_TEST_TIMEOUT=False 2024-12-17T23:49:09.1495404Z TD_DISTRIBUTED=False 2024-12-17T23:49:09.1495686Z GITHUB_REPOSITORY=pytorch/pytorch 2024-12-17T23:49:09.1496006Z GITHUB_RETENTION_DAYS=90 2024-12-17T23:49:09.1496275Z OPENSSL_DIR=/opt/openssl 2024-12-17T23:49:09.1496554Z GITHUB_ACTION_REPOSITORY= 2024-12-17T23:49:09.1497349Z 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 2024-12-17T23:49:09.1498171Z GITHUB_BASE_REF= 2024-12-17T23:49:09.1498414Z INSTALLED_ACL= 2024-12-17T23:49:09.1498757Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_34566045704 2024-12-17T23:49:09.1499172Z CI=true 2024-12-17T23:49:09.1499408Z GITHUB_REPOSITORY_OWNER=pytorch 2024-12-17T23:49:09.1499701Z JOB_ID=34566045704 2024-12-17T23:49:09.1499950Z INSTALLED_PROTOBUF=yes 2024-12-17T23:49:09.1500199Z GITHUB_HEAD_REF= 2024-12-17T23:49:09.1500444Z GITHUB_ACTION_REF= 2024-12-17T23:49:09.1500751Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2024-12-17T23:49:09.1501123Z TEST_SHOWLOCALS=False 2024-12-17T23:49:09.1501396Z GITHUB_WORKFLOW=pull 2024-12-17T23:49:09.1501659Z DEBIAN_FRONTEND=noninteractive 2024-12-17T23:49:09.1502303Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_d70d5417-6871-4854-b834-9b61a1a1da68 2024-12-17T23:49:09.1503044Z NO_TD=False 2024-12-17T23:49:09.1503292Z SKIP_SCCACHE_INITIALIZATION=1 2024-12-17T23:49:09.1503585Z _=/usr/bin/env 2024-12-17T23:49:09.1503818Z + echo 'Testing pytorch' 2024-12-17T23:49:09.1504094Z Testing pytorch 2024-12-17T23:49:09.1504360Z + export LANG=C.UTF-8 2024-12-17T23:49:09.1504620Z + LANG=C.UTF-8 2024-12-17T23:49:09.1504838Z + PR_NUMBER= 2024-12-17T23:49:09.1505085Z + [[ default == \d\e\f\a\u\l\t ]] 2024-12-17T23:49:09.1505393Z + export CUDA_VISIBLE_DEVICES=0 2024-12-17T23:49:09.1505693Z + CUDA_VISIBLE_DEVICES=0 2024-12-17T23:49:09.1505979Z + export HIP_VISIBLE_DEVICES=0 2024-12-17T23:49:09.1506260Z + HIP_VISIBLE_DEVICES=0 2024-12-17T23:49:09.1506543Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2024-12-17T23:49:09.1506862Z + [[ default == \s\l\o\w ]] 2024-12-17T23:49:09.1507286Z + [[ linux-focal-py3.12-clang10 == *slow-gradcheck* ]] 2024-12-17T23:49:09.1507692Z + [[ linux-focal-py3.12-clang10 == *cuda* ]] 2024-12-17T23:49:09.1508040Z + [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-12-17T23:49:09.1508397Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-12-17T23:49:09.1508733Z + [[ default == *crossref* ]] 2024-12-17T23:49:09.1509052Z + [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-12-17T23:49:09.1509402Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-12-17T23:49:09.1509752Z + [[ linux-focal-py3.12-clang10 != *-bazel-* ]] 2024-12-17T23:49:09.1510114Z + pip_install --user ninja==1.10.2 2024-12-17T23:49:09.1510522Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2024-12-17T23:49:09.1525605Z + python3 -m pip install --progress-bar off --user ninja==1.10.2 2024-12-17T23:49:09.5721560Z Collecting ninja==1.10.2 2024-12-17T23:49:09.5901071Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2024-12-17T23:49:09.5996038Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2024-12-17T23:49:09.7635289Z Installing collected packages: ninja 2024-12-17T23:49:09.7712068Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2024-12-17T23:49:09.7713098Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2024-12-17T23:49:09.7979698Z Successfully installed ninja-1.10.2 2024-12-17T23:49:09.8644425Z + 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 2024-12-17T23:49:09.8646143Z + 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 2024-12-17T23:49:09.8647263Z + [[ linux-focal-py3.12-clang10 == *aarch64* ]] 2024-12-17T23:49:09.8647618Z + install_tlparse 2024-12-17T23:49:09.8647951Z + pip_install --user tlparse==0.3.25 2024-12-17T23:49:09.8648371Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2024-12-17T23:49:09.8648967Z + python3 -m pip install --progress-bar off --user tlparse==0.3.25 2024-12-17T23:49:10.3600654Z Collecting tlparse==0.3.25 2024-12-17T23:49:10.3777945Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.7 kB) 2024-12-17T23:49:10.4265736Z Downloading tlparse-0.3.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB) 2024-12-17T23:49:10.6705517Z Installing collected packages: tlparse 2024-12-17T23:49:10.7592151Z Successfully installed tlparse-0.3.25 2024-12-17T23:49:10.8291357Z ++ python -m site --user-base 2024-12-17T23:49:10.8430483Z + 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 2024-12-17T23:49:10.8432108Z + [[ linux-focal-py3.12-clang10 == *asan* ]] 2024-12-17T23:49:10.8432532Z + [[ linux-focal-py3.12-clang10 == *-debug* ]] 2024-12-17T23:49:10.8433163Z + [[ linux-focal-py3.12-clang10 != *-bazel-* ]] 2024-12-17T23:49:10.8433776Z + echo 'We are not in debug mode: linux-focal-py3.12-clang10. Expect the assertion to pass' 2024-12-17T23:49:10.8434532Z We are not in debug mode: linux-focal-py3.12-clang10. Expect the assertion to pass 2024-12-17T23:49:10.8435214Z + cd test 2024-12-17T23:49:10.8436048Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2024-12-17T23:49:12.3219988Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2024-12-17T23:49:12.3220397Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2024-12-17T23:49:12.3224637Z + DYNAMO_BENCHMARK_FLAGS=() 2024-12-17T23:49:12.3225771Z + [[ default == *pr_time_benchmarks* ]] 2024-12-17T23:49:12.3226190Z + [[ default == *dynamo_eager* ]] 2024-12-17T23:49:12.3226810Z + [[ default == *aot_eager* ]] 2024-12-17T23:49:12.3227105Z + [[ default == *aot_inductor* ]] 2024-12-17T23:49:12.3227431Z + [[ default == *inductor* ]] 2024-12-17T23:49:12.3227765Z + [[ default == *dynamic* ]] 2024-12-17T23:49:12.3228069Z + [[ default == *cpu* ]] 2024-12-17T23:49:12.3228430Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2024-12-17T23:49:12.3257387Z + [[ linux-focal-py3.12-clang10 == *libtorch* ]] 2024-12-17T23:49:12.3257849Z + [[ linux-focal-py3.12-clang10 == *-bazel-* ]] 2024-12-17T23:49:12.3260828Z + cd test 2024-12-17T23:49:12.3261750Z + python -c 'import torch; print(torch.__config__.show())' 2024-12-17T23:49:13.5574996Z PyTorch built with: 2024-12-17T23:49:13.5575326Z - GCC 4.2 2024-12-17T23:49:13.5575566Z - C++ Version: 201703 2024-12-17T23:49:13.5575824Z - clang 10.0.0 2024-12-17T23:49:13.5576391Z - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-12-17T23:49:13.5577171Z - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) 2024-12-17T23:49:13.5577640Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-12-17T23:49:13.5578007Z - LAPACK is enabled (usually provided by MKL) 2024-12-17T23:49:13.5578378Z - NNPACK is enabled 2024-12-17T23:49:13.5578647Z - CPU capability usage: AVX512 2024-12-17T23:49:13.5584116Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=0cdf8b1d09254cfda66191d1bd01e3041c3c76f7, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.6.0, 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, 2024-12-17T23:49:13.5589776Z 2024-12-17T23:49:13.7903100Z + cd test 2024-12-17T23:49:13.7903485Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2024-12-17T23:49:15.0420596Z ATen/Parallel: 2024-12-17T23:49:15.0420935Z at::get_num_threads() : 8 2024-12-17T23:49:15.0421259Z at::get_num_interop_threads() : 8 2024-12-17T23:49:15.0421620Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2024-12-17T23:49:15.0421920Z omp_get_max_threads() : 8 2024-12-17T23:49:15.0422511Z Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications 2024-12-17T23:49:15.0423482Z mkl_get_max_threads() : 8 2024-12-17T23:49:15.0423890Z Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) 2024-12-17T23:49:15.0424363Z std::thread::hardware_concurrency() : 16 2024-12-17T23:49:15.0424692Z Environment variables: 2024-12-17T23:49:15.0424971Z OMP_NUM_THREADS : [not set] 2024-12-17T23:49:15.0425264Z MKL_NUM_THREADS : [not set] 2024-12-17T23:49:15.0425563Z ATen parallel backend: OpenMP 2024-12-17T23:49:15.0425756Z 2024-12-17T23:49:15.2781026Z + [[ default == *numpy_2* ]] 2024-12-17T23:49:15.2781648Z + [[ linux-focal-py3.12-clang10 == *aarch64* ]] 2024-12-17T23:49:15.2782018Z + [[ default == *backward* ]] 2024-12-17T23:49:15.2782329Z + [[ default == *xla* ]] 2024-12-17T23:49:15.2782597Z + [[ default == *executorch* ]] 2024-12-17T23:49:15.2783148Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2024-12-17T23:49:15.2783516Z + [[ linux-focal-py3.12-clang10 == *libtorch* ]] 2024-12-17T23:49:15.2783876Z + [[ default == distributed ]] 2024-12-17T23:49:15.2784202Z + [[ default == *inductor_distributed* ]] 2024-12-17T23:49:15.2784531Z + [[ default == *inductor-halide* ]] 2024-12-17T23:49:15.2784872Z + [[ default == *inductor-triton-cpu* ]] 2024-12-17T23:49:15.2785238Z + [[ default == *inductor-micro-benchmark* ]] 2024-12-17T23:49:15.2785602Z + [[ default == *huggingface* ]] 2024-12-17T23:49:15.2785937Z + [[ default == *timm* ]] 2024-12-17T23:49:15.2786204Z + [[ default == *torchbench* ]] 2024-12-17T23:49:15.2786519Z + [[ default == *inductor_cpp_wrapper* ]] 2024-12-17T23:49:15.2786853Z + [[ default == *inductor* ]] 2024-12-17T23:49:15.2787154Z + [[ default == *dynamo_wrapped* ]] 2024-12-17T23:49:15.2787494Z + [[ linux-focal-py3.12-clang10 == *rocm* ]] 2024-12-17T23:49:15.2787807Z + [[ 1 == 1 ]] 2024-12-17T23:49:15.2788058Z + [[ 5 -gt 1 ]] 2024-12-17T23:49:15.2788304Z + test_without_numpy 2024-12-17T23:49:15.2788580Z ++ dirname .ci/pytorch/test.sh 2024-12-17T23:49:15.2795586Z + pushd .ci/pytorch 2024-12-17T23:49:15.2796072Z ~/workspace/.ci/pytorch ~/workspace 2024-12-17T23:49:15.2797049Z + 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())' 2024-12-17T23:49:16.0123663Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:275: 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:81.) 2024-12-17T23:49:16.0125095Z cpu = _conversion_method_template(device=torch.device("cpu")) 2024-12-17T23:49:16.6297699Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2024-12-17T23:49:17.3615182Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_subclasses/functional_tensor.py:275: 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:81.) 2024-12-17T23:49:17.3616637Z cpu = _conversion_method_template(device=torch.device("cpu")) 2024-12-17T23:49:17.7589336Z tensor([0., 1.]) 2024-12-17T23:49:17.9781046Z + [[ default == *dynamo_wrapped* ]] 2024-12-17T23:49:17.9781471Z + popd 2024-12-17T23:49:17.9781697Z ~/workspace 2024-12-17T23:49:17.9781929Z + install_torchvision 2024-12-17T23:49:17.9782180Z + local orig_preload 2024-12-17T23:49:17.9782434Z + local commit 2024-12-17T23:49:17.9784313Z ++ get_pinned_commit vision 2024-12-17T23:49:17.9784632Z ++ cat .github/ci_commit_pins/vision.txt 2024-12-17T23:49:17.9797525Z + commit=d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:17.9797909Z + orig_preload= 2024-12-17T23:49:17.9798164Z + '[' -n '' ']' 2024-12-17T23:49:17.9798780Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:17.9799521Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2024-12-17T23:49:17.9800606Z + python3 -m pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:18.3106589Z Collecting git+https://github.com/pytorch/vision.git@d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:18.3110617Z Cloning https://github.com/pytorch/vision.git (to revision d23a6e1664d20707c11781299611436e1f0c104f) to /tmp/pip-req-build-ihplyebn 2024-12-17T23:49:18.3129238Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ihplyebn 2024-12-17T23:49:19.7126239Z Running command git rev-parse -q --verify 'sha^d23a6e1664d20707c11781299611436e1f0c104f' 2024-12-17T23:49:19.7144597Z Running command git fetch -q https://github.com/pytorch/vision.git d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:21.0637505Z Running command git checkout -q d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:21.3986932Z Resolved https://github.com/pytorch/vision.git to commit d23a6e1664d20707c11781299611436e1f0c104f 2024-12-17T23:49:23.4745906Z Preparing metadata (setup.py) ... [?25l- \ done 2024-12-17T23:49:23.4777339Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+d23a6e1) (1.26.2) 2024-12-17T23:49:23.4780542Z Requirement already satisfied: torch in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torchvision==0.19.0a0+d23a6e1) (2.6.0a0+git0cdf8b1) 2024-12-17T23:49:23.4784852Z 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) (11.0.0) 2024-12-17T23:49:23.4853102Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (3.16.1) 2024-12-17T23:49:23.4856834Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (4.12.2) 2024-12-17T23:49:23.4860277Z 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) 2024-12-17T23:49:23.4863222Z 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) 2024-12-17T23:49:23.4866921Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (2024.10.0) 2024-12-17T23:49:23.4877661Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.12/lib/python3.12/site-packages (from torch->torchvision==0.19.0a0+d23a6e1) (75.1.0) 2024-12-17T23:49:23.4882495Z 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) 2024-12-17T23:49:23.4895437Z 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) 2024-12-17T23:49:23.5003481Z 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) (3.0.2) 2024-12-17T23:49:23.5101244Z Building wheels for collected packages: torchvision 2024-12-17T23:49:56.4680490Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2024-12-17T23:49:56.4715343Z [?25h Created wheel for torchvision: filename=torchvision-0.19.0a0+d23a6e1-cp312-cp312-linux_x86_64.whl size=1117895 sha256=5b9654849dae9f104feb28e1ac445e1eca541126e7f3177746cb73af94e942be 2024-12-17T23:49:56.4717314Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/b9/aa/81/39d3509ec629531316195ffac7a7b05ff7603f393064d63ec9 2024-12-17T23:49:56.4752132Z Successfully built torchvision 2024-12-17T23:49:56.6115984Z Installing collected packages: torchvision 2024-12-17T23:49:57.0542476Z Successfully installed torchvision-0.19.0a0+d23a6e1 2024-12-17T23:49:57.1507789Z + '[' -n '' ']' 2024-12-17T23:49:57.1508112Z + test_python_shard 1 2024-12-17T23:49:57.1508383Z + [[ -z 5 ]] 2024-12-17T23:49:57.1509029Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 5 --verbose --upload-artifacts-while-running 2024-12-17T23:49:57.2523920Z /var/lib/jenkins/workspace/test/run_test.py:22: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-12-17T23:49:57.2524853Z import pkg_resources 2024-12-17T23:50:00.9590685Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=PhiMB7EP3187qvpKvnORewoK3InOIvX5 to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-12-17T23:50:01.0051786Z Ignoring disabled issues: [''] 2024-12-17T23:50:01.0211496Z Found test times from artifacts 2024-12-17T23:50:01.0829810Z Found test times from artifacts 2024-12-17T23:50:01.0850445Z Running all tests 2024-12-17T23:50:01.1199648Z Running parallel tests on 3 processes 2024-12-17T23:50:01.1208593Z Name: tests to run (est. time: 105.45min) 2024-12-17T23:50:01.1209228Z Serial tests (44): 2024-12-17T23:50:01.1209696Z test_reductions 1/1 2024-12-17T23:50:01.1210177Z test_cpp_extensions_jit 1/1 2024-12-17T23:50:01.1210799Z test_cpp_extensions_open_device_registration 1/1 2024-12-17T23:50:01.1211455Z test_utils 1/1 2024-12-17T23:50:01.1211941Z test_cpp_extensions_stream_and_event 1/1 2024-12-17T23:50:01.1212589Z test_cpp_extensions_mtia_backend 1/1 2024-12-17T23:50:01.1213175Z test_cpp_api_parity 1/1 2024-12-17T23:50:01.1213711Z test_dispatch 1/1 2024-12-17T23:50:01.1214201Z inductor/test_cutlass_backend 1/1 2024-12-17T23:50:01.1214807Z inductor/test_benchmark_fusion 1/1 2024-12-17T23:50:01.1215416Z inductor/test_flex_attention 1/1 2024-12-17T23:50:01.1216001Z inductor/test_max_autotune 1/1 2024-12-17T23:50:01.1216602Z inductor/test_distributed_patterns 1/1 2024-12-17T23:50:01.1217218Z test_autograd_fallback 1/1 2024-12-17T23:50:01.1217756Z test_cuda_nvml_based_avail 1/1 2024-12-17T23:50:01.1218298Z test_cuda_trace 1/1 2024-12-17T23:50:01.1218761Z test_cuda_primary_ctx 1/1 2024-12-17T23:50:01.1219365Z test_tensor_creation_ops 1/1 2024-12-17T23:50:01.1219930Z test_cpp_extensions_aot_ninja 1/1 2024-12-17T23:50:01.1220497Z test_spectral_ops 1/1 2024-12-17T23:50:01.1221025Z test_cpp_extensions_aot_no_ninja 1/1 2024-12-17T23:50:01.1221632Z test_ci_sanity_check_fail 1/1 2024-12-17T23:50:01.1222172Z test_show_pickle 1/1 2024-12-17T23:50:01.1222690Z test_namedtuple_return_api 1/1 2024-12-17T23:50:01.1223232Z test_jit_disabled 1/1 2024-12-17T23:50:01.1223711Z test_autocast 1/1 2024-12-17T23:50:01.1224162Z test_torch 1/1 2024-12-17T23:50:01.1224593Z test_tensorexpr 1/1 2024-12-17T23:50:01.1225063Z test_fake_tensor 1/1 2024-12-17T23:50:01.1225533Z test_fx 1/1 2024-12-17T23:50:01.1225970Z test_multiprocessing 1/1 2024-12-17T23:50:01.1226483Z test_native_mha 1/1 2024-12-17T23:50:01.1226955Z test_sort_and_select 1/1 2024-12-17T23:50:01.1227446Z nn/test_pooling 1/1 2024-12-17T23:50:01.1227925Z test_python_dispatch 1/1 2024-12-17T23:50:01.1228446Z test_mobile_optimizer 1/1 2024-12-17T23:50:01.1228970Z nn/test_convolution 1/1 2024-12-17T23:50:01.1229453Z test_nn 1/1 2024-12-17T23:50:01.1229888Z test_multiprocessing_spawn 1/1 2024-12-17T23:50:01.1230440Z test_overrides 1/1 2024-12-17T23:50:01.1230940Z distributions/test_distributions 1/1 2024-12-17T23:50:01.1231532Z test_autoload_disable 1/1 2024-12-17T23:50:01.1232041Z doctests 1/1 2024-12-17T23:50:01.1232462Z test_autoload_enable 1/1 2024-12-17T23:50:01.1232974Z Parallel tests (119): 2024-12-17T23:50:01.1233468Z inductor/test_aot_inductor 1/1 2024-12-17T23:50:01.1234058Z inductor/test_aot_inductor_arrayref 1/4 2024-12-17T23:50:01.1234981Z inductor/test_aot_inductor_custom_ops 1/1 2024-12-17T23:50:01.1235613Z inductor/test_kernel_benchmark 1/1 2024-12-17T23:50:01.1236218Z inductor/test_torchinductor 4/4 2024-12-17T23:50:01.1236828Z inductor/test_torchinductor_opinfo 2/46 2024-12-17T23:50:01.1237488Z inductor/test_torchinductor_opinfo 3/46 2024-12-17T23:50:01.1238141Z inductor/test_torchinductor_opinfo 15/46 2024-12-17T23:50:01.1238788Z inductor/test_torchinductor_opinfo 17/46 2024-12-17T23:50:01.1239455Z inductor/test_torchinductor_opinfo 18/46 2024-12-17T23:50:01.1240113Z inductor/test_torchinductor_opinfo 30/46 2024-12-17T23:50:01.1240771Z inductor/test_torchinductor_opinfo 32/46 2024-12-17T23:50:01.1242399Z inductor/test_torchinductor_opinfo 33/46 2024-12-17T23:50:01.1243071Z inductor/test_torchinductor_opinfo 45/46 2024-12-17T23:50:01.1243723Z inductor/test_compiled_optimizers 1/1 2024-12-17T23:50:01.1244336Z dynamo/test_base_output 1/1 2024-12-17T23:50:01.1244931Z inductor/test_cooperative_reductions 1/1 2024-12-17T23:50:01.1245544Z test_import_stats 1/1 2024-12-17T23:50:01.1246022Z test_binary_ufuncs 1/1 2024-12-17T23:50:01.1246579Z export/test_functionalized_assertions 1/1 2024-12-17T23:50:01.1247217Z export/test_tree_utils 1/1 2024-12-17T23:50:01.1247782Z inductor/test_inductor_annotations 1/1 2024-12-17T23:50:01.1248385Z dynamo/test_nops 1/1 2024-12-17T23:50:01.1248862Z inductor/test_utils 1/1 2024-12-17T23:50:01.1249376Z inductor/test_indexing 1/1 2024-12-17T23:50:01.1249905Z inductor/test_pad_mm 1/1 2024-12-17T23:50:01.1250414Z dynamo/test_utils 1/1 2024-12-17T23:50:01.1250918Z inductor/test_compile_worker 1/1 2024-12-17T23:50:01.1251497Z functorch/test_aotdispatch 1/5 2024-12-17T23:50:01.1252196Z inductor/test_torchinductor_codegen_dynamic_shapes 3/4 2024-12-17T23:50:01.1252998Z inductor/test_torchinductor_dynamic_shapes 2/4 2024-12-17T23:50:01.1253748Z dynamo/test_cudagraphs_expandable_segments 1/1 2024-12-17T23:50:01.1254408Z functorch/test_ops 3/6 2024-12-17T23:50:01.1254829Z inductor/test_snode_runtime 1/1 2024-12-17T23:50:01.1255280Z inductor/test_profiler 1/1 2024-12-17T23:50:01.1255719Z inductor/test_cudagraph_trees 1/1 2024-12-17T23:50:01.1256251Z inductor/test_cpu_select_algorithm 3/17 2024-12-17T23:50:01.1256772Z inductor/test_cpu_select_algorithm 6/17 2024-12-17T23:50:01.1257317Z inductor/test_cpu_select_algorithm 8/17 2024-12-17T23:50:01.1257836Z dynamo/test_sources 1/1 2024-12-17T23:50:01.1258476Z dynamo/test_model_output 1/1 2024-12-17T23:50:01.1258940Z inductor/test_memory_planning 1/1 2024-12-17T23:50:01.1259457Z higher_order_ops/test_with_effects 1/1 2024-12-17T23:50:01.1259979Z export/test_passes 1/1 2024-12-17T23:50:01.1260425Z dynamo/test_structured_trace 1/1 2024-12-17T23:50:01.1261044Z inductor/test_torchinductor_codegen_config_overrides 1/1 2024-12-17T23:50:01.1261655Z dynamo/test_decorators 1/1 2024-12-17T23:50:01.1262151Z lazy/test_ts_opinfo 1/1 2024-12-17T23:50:01.1262646Z inductor/test_fused_attention 1/1 2024-12-17T23:50:01.1263188Z inductor/test_torchbind 1/1 2024-12-17T23:50:01.1263733Z dynamo/test_compiler_bisector 1/1 2024-12-17T23:50:01.1264249Z inductor/test_codecache 1/1 2024-12-17T23:50:01.1264690Z dynamo/test_modes 1/1 2024-12-17T23:50:01.1265107Z dynamo/test_profiler 1/1 2024-12-17T23:50:01.1265586Z dynamo/test_aot_autograd_cache 1/1 2024-12-17T23:50:01.1266144Z dynamo/test_graph_deduplication 1/1 2024-12-17T23:50:01.1266646Z export/test_schema 1/1 2024-12-17T23:50:01.1267114Z inductor/test_efficient_conv_bn_eval 1/1 2024-12-17T23:50:01.1267651Z dynamo/test_export 1/1 2024-12-17T23:50:01.1268110Z export/test_unflatten 1/1 2024-12-17T23:50:01.1268645Z inductor/test_dependencies 1/1 2024-12-17T23:50:01.1269122Z dynamo/test_optimizers 1/1 2024-12-17T23:50:01.1269591Z test_ops_jit 1/2 2024-12-17T23:50:01.1270255Z inductor/test_padding 1/1 2024-12-17T23:50:01.1270714Z test_ops 5/5 2024-12-17T23:50:01.1271115Z lazy/test_extract_compiled_graph 1/1 2024-12-17T23:50:01.1271647Z test_transformers 2/2 2024-12-17T23:50:01.1272069Z torch_np/test_basic 1/1 2024-12-17T23:50:01.1272498Z test_complex 1/1 2024-12-17T23:50:01.1272955Z test_tensorexpr_pybind 1/1 2024-12-17T23:50:01.1273418Z test_type_hints 1/1 2024-12-17T23:50:01.1273870Z functorch/test_minifier 1/1 2024-12-17T23:50:01.1274430Z torch_np/numpy_tests/core/test_numeric 1/1 2024-12-17T23:50:01.1275042Z test_per_overload_api 1/1 2024-12-17T23:50:01.1275512Z test_numpy_interop 1/1 2024-12-17T23:50:01.1275955Z nn/test_multihead_attention 1/1 2024-12-17T23:50:01.1276633Z test_fx_experimental 1/1 2024-12-17T23:50:01.1277082Z functorch/test_logging 1/1 2024-12-17T23:50:01.1277558Z test_native_functions 1/1 2024-12-17T23:50:01.1278057Z functorch/test_control_flow 1/1 2024-12-17T23:50:01.1278620Z torch_np/test_ufuncs_basic 1/1 2024-12-17T23:50:01.1279097Z functorch/test_ac 1/1 2024-12-17T23:50:01.1279534Z nn/test_packed_sequence 1/1 2024-12-17T23:50:01.1280018Z test_sympy_utils 1/1 2024-12-17T23:50:01.1280526Z test_set_default_mobile_cpu_allocator 1/1 2024-12-17T23:50:01.1281118Z test_sparse_semi_structured 1/1 2024-12-17T23:50:01.1281750Z nn/test_parametrization 1/1 2024-12-17T23:50:01.1282210Z functorch/test_vmap 1/1 2024-12-17T23:50:01.1282650Z test_flop_counter 1/1 2024-12-17T23:50:01.1283080Z test_bundled_inputs 1/1 2024-12-17T23:50:01.1283564Z test_numba_integration 1/1 2024-12-17T23:50:01.1284003Z test_itt 1/1 2024-12-17T23:50:01.1284415Z profiler/test_profiler_tree 1/1 2024-12-17T23:50:01.1285033Z torch_np/numpy_tests/core/test_shape_base 1/1 2024-12-17T23:50:01.1285708Z torch_np/numpy_tests/core/test_scalarmath 1/1 2024-12-17T23:50:01.1286297Z test_fx_reinplace_pass 1/1 2024-12-17T23:50:01.1286685Z test_fx_passes 1/1 2024-12-17T23:50:01.1287092Z test_segment_reductions 1/1 2024-12-17T23:50:01.1287553Z test_legacy_vmap 1/1 2024-12-17T23:50:01.1287942Z test_subclass 1/1 2024-12-17T23:50:01.1288389Z torch_np/numpy_tests/linalg/test_linalg 1/1 2024-12-17T23:50:01.1288937Z test_dlpack 1/1 2024-12-17T23:50:01.1289305Z nn/test_embedding 1/1 2024-12-17T23:50:01.1289775Z torch_np/numpy_tests/lib/test_type_check 1/1 2024-12-17T23:50:01.1290234Z test_masked 1/1 2024-12-17T23:50:01.1290480Z test_jit 1/1 2024-12-17T23:50:01.1290743Z torch_np/numpy_tests/core/test_indexing 1/1 2024-12-17T23:50:01.1291109Z functorch/test_vmap_registrations 1/1 2024-12-17T23:50:01.1291456Z profiler/test_memory_profiler 1/1 2024-12-17T23:50:01.1291776Z test_maskedtensor 1/1 2024-12-17T23:50:01.1292062Z nn/test_dropout 1/1 2024-12-17T23:50:01.1292309Z test_meta 1/3 2024-12-17T23:50:01.1292556Z test_unary_ufuncs 1/1 2024-12-17T23:50:01.1292864Z torch_np/numpy_tests/lib/test_arraypad 1/1 2024-12-17T23:50:01.1293255Z torch_np/test_scalars_0D_arrays 1/1 2024-12-17T23:50:01.1293719Z test_jit_autocast 1/1 2024-12-17T23:50:01.1294136Z test_type_promotion 1/1 2024-12-17T23:50:01.1294582Z test_dataloader 1/1 2024-12-17T23:50:01.1295006Z test_quantization 1/2 2024-12-17T23:50:01.1295485Z Name: excluded (est. time: 0.0min) 2024-12-17T23:50:01.1295988Z Serial tests (0): 2024-12-17T23:50:01.1296403Z Parallel tests (0): 2024-12-17T23:50:01.1322850Z Running test_reductions 1/1 ... [2024-12-17 23:50:01.131983] 2024-12-17T23:50:01.1324844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:50:01.1326645Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:50:01.132315] 2024-12-17T23:53:27.5710511Z 2024-12-17T23:53:27.5711355Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_bee9a9241a952a2c_.log 2024-12-17T23:53:27.7394004Z Running 4625 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_cpu_device_mismatch_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2024-12-17T23:53:27.9034888Z 2024-12-17T23:53:27.9035142Z Running test_cpp_extensions_jit 1/1 ... [2024-12-17 23:53:27.576535] 2024-12-17T23:53:27.9035631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:53:27.9036697Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:53:27.576851] 2024-12-17T23:53:58.8828019Z 2024-12-17T23:53:58.8828995Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_95468450d0a0b2d2_.log 2024-12-17T23:53:58.8840023Z Running 27 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2024-12-17T23:53:58.8850528Z 2024-12-17T23:53:58.8850833Z Running test_cpp_extensions_open_device_registration 1/1 ... [2024-12-17 23:53:58.883030] 2024-12-17T23:53:58.8851359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:53:58.8852512Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:53:58.883330] 2024-12-17T23:54:12.6154438Z 2024-12-17T23:54:12.6155567Z test_cpp_extensions_open_device_registration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_open_device_registration_1.1_5a6e3c063a6fce6c_.log 2024-12-17T23:54:12.6169025Z Running 23 items in this shard: test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_base_device_registration, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_common_registration, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_compile_autograd_function_aliasing, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_compile_autograd_function_returns_self, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_cpu_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_dispatchstub, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_dlpack, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_faketensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_generator_registration_and_hooks, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_named_tensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_numpy_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_packed_sequence, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_quantized, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_random, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_scalar_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_serialization, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_pin_memory, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_resize, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_storage_type, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensor, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensor_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRgistration::test_open_device_tensorlist_type_fallback 2024-12-17T23:54:12.6181279Z 2024-12-17T23:54:12.6181450Z Running test_utils 1/1 ... [2024-12-17 23:54:12.615625] 2024-12-17T23:54:12.6181834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:54:12.6182839Z 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'] ... [2024-12-17 23:54:12.615934] 2024-12-17T23:56:23.3113366Z 2024-12-17T23:56:23.3114159Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_38c882bb62878250_.log 2024-12-17T23:56:23.5157055Z Running 6020 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, 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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, 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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, 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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, 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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, 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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, 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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, 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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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, 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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, 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, 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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_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, 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, 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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_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, 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_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, 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_bfloat16, 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_float16, 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_float16, 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_float16, 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_bool, 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_complex32, 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_complex32, 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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, 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, 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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_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_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 2024-12-17T23:56:23.7503983Z 2024-12-17T23:56:23.7504648Z Running test_cpp_extensions_stream_and_event 1/1 ... [2024-12-17 23:56:23.318281] 2024-12-17T23:56:23.7505901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:56:23.7508496Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:56:23.318582] 2024-12-17T23:56:27.1880501Z 2024-12-17T23:56:27.1881568Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_8e1a5606a5aff9b6_.log 2024-12-17T23:56:27.1882835Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2024-12-17T23:56:27.1883406Z 2024-12-17T23:56:27.1883654Z Running test_cpp_extensions_mtia_backend 1/1 ... [2024-12-17 23:56:27.188162] 2024-12-17T23:56:27.1884137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:56:27.1887406Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:56:27.188460] 2024-12-17T23:56:31.0579798Z 2024-12-17T23:56:31.0580797Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_6e181e1ee61bf392_.log 2024-12-17T23:56:31.0583654Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2024-12-17T23:56:31.0585805Z 2024-12-17T23:56:31.0586016Z Running test_cpp_api_parity 1/1 ... [2024-12-17 23:56:31.058137] 2024-12-17T23:56:31.0586441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:56:31.0587456Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:56:31.058423] 2024-12-17T23:56:40.5868725Z 2024-12-17T23:56:40.5869624Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_51a4d0e71b0282cd_.log 2024-12-17T23:56:40.6053191Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2024-12-17T23:56:40.6234679Z 2024-12-17T23:56:40.6234887Z Running test_dispatch 1/1 ... [2024-12-17 23:56:40.587588] 2024-12-17T23:56:40.6235304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:56:40.6236332Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:56:40.587877] 2024-12-17T23:57:08.6890092Z 2024-12-17T23:57:08.6890986Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_eb533d9bc20e7f7b_.log 2024-12-17T23:57:08.6900977Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2024-12-17T23:57:08.6910427Z 2024-12-17T23:57:08.6910679Z Running inductor/test_cutlass_backend 1/1 ... [2024-12-17 23:57:08.689163] 2024-12-17T23:57:08.6911137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:57:08.6912224Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:57:08.689436] 2024-12-17T23:57:12.4290863Z 2024-12-17T23:57:12.4291864Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_342fc56f74c23ae5_.log 2024-12-17T23:57:12.4292639Z 2024-12-17T23:57:12.4293429Z Running inductor/test_benchmark_fusion 1/1 ... [2024-12-17 23:57:12.429212] 2024-12-17T23:57:12.4293952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:57:12.4296815Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:57:12.429487] 2024-12-17T23:57:31.3681485Z 2024-12-17T23:57:31.3683008Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_df753ff574fb93b0_.log 2024-12-17T23:57:31.3687560Z Running 6 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_avoid_register_spilling_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_foreach_kernel_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_register_spills_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_resnet18_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_softmax_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_tield_kernel_fusion_cpu 2024-12-17T23:57:31.3689991Z 2024-12-17T23:57:31.3690239Z Running inductor/test_flex_attention 1/1 ... [2024-12-17 23:57:31.368298] 2024-12-17T23:57:31.3690717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:57:31.3691812Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:57:31.368602] 2024-12-17T23:57:36.1891211Z 2024-12-17T23:57:36.1892198Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_6f1d15b69ec80d82_.log 2024-12-17T23:57:36.2145444Z Running 528 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_causal_mask, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod0, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod1, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod2, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod3, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod4, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod5, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod6, test/inductor/test_flex_attention.py::TestFlexAttention::test_GQA_float32_score_mod7, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod0, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod1, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod2, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod3, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod4, test/inductor/test_flex_attention.py::TestFlexAttention::test_aot_eager_gradcheck_score_mod5, test/inductor/test_flex_attention.py::TestFlexAttention::test_autograd_function_in_score_mod, test/inductor/test_flex_attention.py::TestFlexAttention::test_block_mask_non_divisible, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod0, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod1, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod2, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod3, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod4, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod5, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod6, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_automatic_dynamic_float32_score_mod7, test/inductor/test_flex_attention.py::TestFlexAttention::test_builtin_score_mods_bfloat16_score_mod0, 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test/inductor/test_flex_attention.py::TestLearnableBiases::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default, test/inductor/test_flex_attention.py::TestLearnableBiases::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiases::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32 2024-12-17T23:57:36.2393799Z 2024-12-17T23:57:36.2394071Z Running inductor/test_max_autotune 1/1 ... [2024-12-17 23:57:36.190054] 2024-12-17T23:57:36.2394544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:57:36.2395620Z 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'] ... [2024-12-17 23:57:36.190356] 2024-12-17T23:57:40.0234772Z 2024-12-17T23:57:40.0235768Z 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_dbe07f5ba058e378_.log 2024-12-17T23:57:40.0236498Z 2024-12-17T23:57:40.0238544Z Running inductor/test_distributed_patterns 1/1 ... [2024-12-17 23:57:40.023624] 2024-12-17T23:57:40.0239033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:57:40.0241226Z 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'] ... [2024-12-17 23:57:40.023915] 2024-12-17T23:58:22.6454621Z 2024-12-17T23:58:22.6455654Z 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_f28cc2c5dd3e08a8_.log 2024-12-17T23:58:22.6465475Z Running 20 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_intermediate_hook_with_nested_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 2024-12-17T23:58:22.6474530Z 2024-12-17T23:58:22.6474744Z Running test_autograd_fallback 1/1 ... [2024-12-17 23:58:22.645591] 2024-12-17T23:58:22.6475180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:58:22.6476232Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:58:22.645901] 2024-12-17T23:58:26.2673740Z 2024-12-17T23:58:26.2674651Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_ac50c195e1e905f6_.log 2024-12-17T23:58:26.2686451Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2024-12-17T23:58:26.2698146Z 2024-12-17T23:58:26.2698383Z Running test_cuda_nvml_based_avail 1/1 ... [2024-12-17 23:58:26.267513] 2024-12-17T23:58:26.2698951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:58:26.2700080Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:58:26.267787] 2024-12-17T23:58:29.6753227Z 2024-12-17T23:58:29.6754381Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_8b89c0c5dfa0acd2_.log 2024-12-17T23:58:29.6755216Z Running 0 items in this shard: 2024-12-17T23:58:29.6755414Z 2024-12-17T23:58:29.6756428Z Running test_cuda_trace 1/1 ... [2024-12-17 23:58:29.675498] 2024-12-17T23:58:29.6756837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:58:29.6760505Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:58:29.675828] 2024-12-17T23:58:32.9828467Z 2024-12-17T23:58:32.9829249Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_a86141120a417b60_.log 2024-12-17T23:58:32.9830001Z Running 0 items in this shard: 2024-12-17T23:58:32.9830206Z 2024-12-17T23:58:32.9831420Z Running test_cuda_primary_ctx 1/1 ... [2024-12-17 23:58:32.982996] 2024-12-17T23:58:32.9831854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:58:32.9834793Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:58:32.983287] 2024-12-17T23:58:36.3028949Z 2024-12-17T23:58:36.3029842Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_4b6a397d4834e97f_.log 2024-12-17T23:58:36.3030622Z Running 0 items in this shard: 2024-12-17T23:58:36.3030820Z 2024-12-17T23:58:36.3032081Z Running test_tensor_creation_ops 1/1 ... [2024-12-17 23:58:36.303049] 2024-12-17T23:58:36.3032538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:58:36.3035402Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:58:36.303334] 2024-12-17T23:58:57.3951098Z 2024-12-17T23:58:57.3952033Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_e82c438d7d7ede6a_.log 2024-12-17T23:58:57.4176819Z Running 625 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2024-12-17T23:58:57.4396960Z 2024-12-17T23:58:57.4397215Z Running test_cpp_extensions_aot_ninja 1/1 ... [2024-12-17 23:58:57.396051] 2024-12-17T23:59:00.1832742Z running install 2024-12-17T23:59:00.1833651Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-17T23:59:00.1834453Z !! 2024-12-17T23:59:00.1834582Z 2024-12-17T23:59:00.1834713Z ******************************************************************************** 2024-12-17T23:59:00.1835130Z Please avoid running ``setup.py`` directly. 2024-12-17T23:59:00.1835547Z Instead, use pypa/build, pypa/installer or other 2024-12-17T23:59:00.1835931Z standards-based tools. 2024-12-17T23:59:00.1836121Z 2024-12-17T23:59:00.1836429Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-17T23:59:00.1836974Z ******************************************************************************** 2024-12-17T23:59:00.1837237Z 2024-12-17T23:59:00.1837322Z !! 2024-12-17T23:59:00.1837550Z self.initialize_options() 2024-12-17T23:59:00.1963956Z running build 2024-12-17T23:59:00.1964206Z running build_py 2024-12-17T23:59:00.2039746Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-17T23:59:00.2042109Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-17T23:59:00.2045514Z running build_ext 2024-12-17T23:59:00.3141595Z building 'torch_test_cpp_extension.cpp' extension 2024-12-17T23:59:00.3142514Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312 2024-12-17T23:59:00.3447524Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-12-17T23:59:00.3448229Z Compiling objects... 2024-12-17T23:59:00.3448553Z Using envvar MAX_JOBS (14) as the number of workers... 2024-12-17T23:59:01.0857166Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:01.0951203Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:01.3714272Z building 'torch_test_cpp_extension.maia' extension 2024-12-17T23:59:01.4020376Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-12-17T23:59:01.4030085Z Compiling objects... 2024-12-17T23:59:01.4030469Z Using envvar MAX_JOBS (14) as the number of workers... 2024-12-17T23:59:02.1383619Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:02.1432378Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/maia_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:02.3960134Z building 'torch_test_cpp_extension.rng' extension 2024-12-17T23:59:02.4267805Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-12-17T23:59:02.4268692Z Compiling objects... 2024-12-17T23:59:02.4269020Z Using envvar MAX_JOBS (14) as the number of workers... 2024-12-17T23:59:03.2867863Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:03.2916168Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:03.5645195Z running install_lib 2024-12-17T23:59:03.5723118Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-12-17T23:59:03.5726839Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:03.5728680Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:03.5730340Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:03.5763104Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:03.5795862Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:03.5834777Z byte-compiling ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc 2024-12-17T23:59:03.5837041Z running install_egg_info 2024-12-17T23:59:03.6006444Z running egg_info 2024-12-17T23:59:03.6007287Z creating torch_test_cpp_extension.egg-info 2024-12-17T23:59:03.6076379Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-12-17T23:59:03.6079467Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-12-17T23:59:03.6081331Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2024-12-17T23:59:03.6082987Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-12-17T23:59:03.6084099Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-17T23:59:03.6157013Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-17T23:59:03.6165241Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-17T23:59:03.6166566Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-12-17T23:59:03.6172755Z running install_scripts 2024-12-17T23:59:05.8750232Z running install 2024-12-17T23:59:05.8751115Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-17T23:59:05.8751908Z !! 2024-12-17T23:59:05.8752051Z 2024-12-17T23:59:05.8752208Z ******************************************************************************** 2024-12-17T23:59:05.8752608Z Please avoid running ``setup.py`` directly. 2024-12-17T23:59:05.8753032Z Instead, use pypa/build, pypa/installer or other 2024-12-17T23:59:05.8753436Z standards-based tools. 2024-12-17T23:59:05.8753629Z 2024-12-17T23:59:05.8753938Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-17T23:59:05.8754475Z ******************************************************************************** 2024-12-17T23:59:05.8754735Z 2024-12-17T23:59:05.8754821Z !! 2024-12-17T23:59:05.8755047Z self.initialize_options() 2024-12-17T23:59:05.8878863Z running build 2024-12-17T23:59:05.8879120Z running build_ext 2024-12-17T23:59:05.9971427Z building 'no_python_abi_suffix_test' extension 2024-12-17T23:59:05.9973970Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312 2024-12-17T23:59:06.0280973Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-12-17T23:59:06.0281822Z Compiling objects... 2024-12-17T23:59:06.0282163Z Using envvar MAX_JOBS (14) as the number of workers... 2024-12-17T23:59:06.1207419Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -I/opt/conda/envs/py_3.12/include/python3.12 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:06.1250014Z creating build/lib.linux-x86_64-cpython-312 2024-12-17T23:59:06.1255147Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so 2024-12-17T23:59:06.1843181Z running install_lib 2024-12-17T23:59:06.1921613Z creating install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-12-17T23:59:06.1926063Z copying build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-12-17T23:59:06.1931876Z running install_egg_info 2024-12-17T23:59:06.2106412Z running egg_info 2024-12-17T23:59:06.2107061Z creating no_python_abi_suffix_test.egg-info 2024-12-17T23:59:06.2178885Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2024-12-17T23:59:06.2183076Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2024-12-17T23:59:06.2185253Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2024-12-17T23:59:06.2186719Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-12-17T23:59:06.2260771Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-12-17T23:59:06.2267924Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-12-17T23:59:06.2269500Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info 2024-12-17T23:59:06.2275566Z running install_scripts 2024-12-17T23:59:06.6156909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:06.6159762Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:06.615727] 2024-12-17T23:59:10.0342095Z 2024-12-17T23:59:10.0343066Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_e627a7c3a2cd498e_.log 2024-12-17T23:59:10.0350124Z Running 18 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_python_agnostic, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2024-12-17T23:59:10.0357021Z 2024-12-17T23:59:10.0357234Z Running test_spectral_ops 1/1 ... [2024-12-17 23:59:10.034426] 2024-12-17T23:59:10.0357635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:10.0359076Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:10.034705] 2024-12-17T23:59:20.0624935Z 2024-12-17T23:59:20.0625766Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_5c8ede21f8854ba0_.log 2024-12-17T23:59:20.0713293Z Running 280 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_ifft_rfft_irfft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_input_modification_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_invalid_dtypes_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_plan_repeatable_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_int8, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2024-12-17T23:59:20.0799538Z 2024-12-17T23:59:20.0799779Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2024-12-17 23:59:20.062929] 2024-12-17T23:59:22.8282982Z running install 2024-12-17T23:59:22.8284217Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-17T23:59:22.8285025Z !! 2024-12-17T23:59:22.8285141Z 2024-12-17T23:59:22.8285285Z ******************************************************************************** 2024-12-17T23:59:22.8285680Z Please avoid running ``setup.py`` directly. 2024-12-17T23:59:22.8286078Z Instead, use pypa/build, pypa/installer or other 2024-12-17T23:59:22.8286714Z standards-based tools. 2024-12-17T23:59:22.8286922Z 2024-12-17T23:59:22.8287225Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-17T23:59:22.8287763Z ******************************************************************************** 2024-12-17T23:59:22.8288019Z 2024-12-17T23:59:22.8288116Z !! 2024-12-17T23:59:22.8288348Z self.initialize_options() 2024-12-17T23:59:22.8413744Z running build 2024-12-17T23:59:22.8414023Z running build_py 2024-12-17T23:59:22.8490606Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-17T23:59:22.8492491Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-17T23:59:22.8495783Z running build_ext 2024-12-17T23:59:22.9286235Z building 'torch_test_cpp_extension.cpp' extension 2024-12-17T23:59:22.9287545Z creating build/temp.linux-x86_64-cpython-312 2024-12-17T23:59:22.9304198Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c extension.cpp -o build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:23.9275484Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2024-12-17T23:59:23.9276510Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2024-12-17T23:59:23.9277380Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/extension.h:9, 2024-12-17T23:59:23.9277947Z from extension.cpp:1: 2024-12-17T23:59:23.9281106Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2024-12-17T23:59:23.9282085Z extension.cpp:45:53: required from here 2024-12-17T23:59:23.9283640Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2024-12-17T23:59:23.9285313Z 1539 | class class_ : public detail::generic_type { 2024-12-17T23:59:23.9285674Z | ^~~~~~ 2024-12-17T23:59:23.9287298Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2024-12-17T23:59:23.9288872Z extension.cpp:45:53: required from here 2024-12-17T23:59:23.9292039Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::’ declared with greater visibility than the type of its field ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::::’ [-Wattributes] 2024-12-17T23:59:23.9294783Z 1599 | with_internals([&](internals &internals) { 2024-12-17T23:59:23.9295181Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-17T23:59:23.9295712Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2024-12-17T23:59:23.9296309Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-17T23:59:23.9296759Z 1601 | : internals.registered_types_cpp; 2024-12-17T23:59:23.9297183Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-17T23:59:23.9297611Z 1602 | instances[std::type_index(typeid(type_alias))] 2024-12-17T23:59:23.9298026Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-17T23:59:23.9298431Z 1603 | = instances[std::type_index(typeid(type))]; 2024-12-17T23:59:23.9298834Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-17T23:59:23.9299154Z 1604 | }); 2024-12-17T23:59:23.9299411Z | ~ 2024-12-17T23:59:23.9302515Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:24.3254415Z building 'torch_test_cpp_extension.maia' extension 2024-12-17T23:59:24.3258954Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:25.2676136Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/maia_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:25.6331339Z building 'torch_test_cpp_extension.rng' extension 2024-12-17T23:59:25.6335858Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-17T23:59:26.7568190Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-17T23:59:26.7569239Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-17T23:59:26.7570060Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-17T23:59:26.7570969Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-17T23:59:26.7571656Z from rng_extension.cpp:6: 2024-12-17T23:59:26.7572502Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1123: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-17T23:59:26.7573300Z 1123 | # pragma unroll 2024-12-17T23:59:26.7573544Z | 2024-12-17T23:59:26.7574089Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1163, 2024-12-17T23:59:26.7574979Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-17T23:59:26.7575795Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-17T23:59:26.7576586Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-17T23:59:26.7577676Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-17T23:59:26.7578350Z from rng_extension.cpp:6: 2024-12-17T23:59:26.7579132Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-17T23:59:26.7579899Z 59 | #pragma unroll 2024-12-17T23:59:26.7580157Z | 2024-12-17T23:59:26.7580830Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-17T23:59:26.7581597Z 72 | #pragma unroll 2024-12-17T23:59:26.7581838Z | 2024-12-17T23:59:26.7582516Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-17T23:59:26.7583276Z 87 | #pragma unroll 2024-12-17T23:59:26.7583534Z | 2024-12-17T23:59:26.7584072Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1164, 2024-12-17T23:59:26.7585181Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-17T23:59:26.7585991Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-17T23:59:26.7586775Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-17T23:59:26.7587679Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-17T23:59:26.7588350Z from rng_extension.cpp:6: 2024-12-17T23:59:26.7589244Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-17T23:59:26.7590031Z 153 | #pragma unroll 2024-12-17T23:59:26.7590273Z | 2024-12-17T23:59:26.7593330Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-12-17T23:59:27.1670295Z running install_lib 2024-12-17T23:59:27.1751583Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:27.1841272Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:27.1929978Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-17T23:59:27.2026052Z running install_egg_info 2024-12-17T23:59:27.2197477Z running egg_info 2024-12-17T23:59:27.2266530Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-12-17T23:59:27.2269760Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-12-17T23:59:27.2278773Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2024-12-17T23:59:27.2286288Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-12-17T23:59:27.2368292Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-17T23:59:27.2376884Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-17T23:59:27.2386102Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it) 2024-12-17T23:59:27.2387789Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-12-17T23:59:27.2393116Z running install_scripts 2024-12-17T23:59:29.4607185Z running install 2024-12-17T23:59:29.4608578Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-17T23:59:29.4609404Z !! 2024-12-17T23:59:29.4609521Z 2024-12-17T23:59:29.4609664Z ******************************************************************************** 2024-12-17T23:59:29.4610059Z Please avoid running ``setup.py`` directly. 2024-12-17T23:59:29.4611312Z Instead, use pypa/build, pypa/installer or other 2024-12-17T23:59:29.4611694Z standards-based tools. 2024-12-17T23:59:29.4611896Z 2024-12-17T23:59:29.4612199Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-17T23:59:29.4612735Z ******************************************************************************** 2024-12-17T23:59:29.4612978Z 2024-12-17T23:59:29.4613078Z !! 2024-12-17T23:59:29.4613291Z self.initialize_options() 2024-12-17T23:59:29.4737044Z running build 2024-12-17T23:59:29.4737499Z running build_ext 2024-12-17T23:59:29.5844888Z building 'no_python_abi_suffix_test' extension 2024-12-17T23:59:29.6155849Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/build.ninja... 2024-12-17T23:59:29.6156759Z Compiling objects... 2024-12-17T23:59:29.6157150Z Using envvar MAX_JOBS (14) as the number of workers... 2024-12-17T23:59:29.6422639Z ninja: no work to do. 2024-12-17T23:59:29.6468893Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-312/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so 2024-12-17T23:59:29.7072576Z running install_lib 2024-12-17T23:59:29.7154376Z copying build/lib.linux-x86_64-cpython-312/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages 2024-12-17T23:59:29.7160213Z running install_egg_info 2024-12-17T23:59:29.7336056Z running egg_info 2024-12-17T23:59:29.7407992Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2024-12-17T23:59:29.7412053Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2024-12-17T23:59:29.7421179Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2024-12-17T23:59:29.7505230Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-12-17T23:59:29.7513757Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2024-12-17T23:59:29.7526507Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it) 2024-12-17T23:59:29.7528544Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info 2024-12-17T23:59:29.7534446Z running install_scripts 2024-12-17T23:59:30.1528457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:30.1530559Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:30.152806] 2024-12-17T23:59:33.5588930Z 2024-12-17T23:59:33.5590185Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_d89a4d1ad1ca97c7_.log 2024-12-17T23:59:33.5597918Z Running 18 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_python_agnostic, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2024-12-17T23:59:33.5604353Z 2024-12-17T23:59:33.5604568Z Running test_ci_sanity_check_fail 1/1 ... [2024-12-17 23:59:33.559105] 2024-12-17T23:59:33.5605004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:33.5606053Z 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'] ... [2024-12-17 23:59:33.559395] 2024-12-17T23:59:44.0405563Z Running test_show_pickle 1/1 ... [2024-12-17 23:59:44.040224] 2024-12-17T23:59:44.0406105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:44.0407289Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:44.040512] 2024-12-17T23:59:47.4591865Z 2024-12-17T23:59:47.4592734Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_7170f53cf5b74322_.log 2024-12-17T23:59:47.4593756Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2024-12-17T23:59:47.4594192Z 2024-12-17T23:59:47.4594742Z Running test_namedtuple_return_api 1/1 ... [2024-12-17 23:59:47.459333] 2024-12-17T23:59:47.4595196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:47.4597897Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:47.459604] 2024-12-17T23:59:51.8794708Z 2024-12-17T23:59:51.8795618Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_565bc2a73454ff67_.log 2024-12-17T23:59:51.8797382Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2024-12-17T23:59:51.8798531Z 2024-12-17T23:59:51.8798735Z Running test_jit_disabled 1/1 ... [2024-12-17 23:59:51.879630] 2024-12-17T23:59:51.8799135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:51.8801158Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:51.879935] 2024-12-17T23:59:55.3487537Z 2024-12-17T23:59:55.3488484Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_56b5f812582df111_.log 2024-12-17T23:59:55.3490332Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2024-12-17T23:59:55.3491407Z 2024-12-17T23:59:55.3491585Z Running test_autocast 1/1 ... [2024-12-17 23:59:55.348913] 2024-12-17T23:59:55.3491983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:55.3494180Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:55.349211] 2024-12-17T23:59:59.3187961Z 2024-12-17T23:59:59.3188849Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_1fe6ff6faac8723f_.log 2024-12-17T23:59:59.3196797Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device 2024-12-17T23:59:59.3202759Z 2024-12-17T23:59:59.3202947Z Running test_torch 1/1 ... [2024-12-17 23:59:59.318940] 2024-12-17T23:59:59.3203319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-17T23:59:59.3204326Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-17 23:59:59.319296] 2024-12-18T00:00:15.5556662Z 2024-12-18T00:00:15.5557677Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_85d0fafbf74d5b67_.log 2024-12-18T00:00:15.5862207Z Running 1022 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_wo_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_NLLLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_bincount_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_histc_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bicubic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_linear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_kthvalue_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_median_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_accumulate_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint2x4, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nullary_op_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pairwise_distance_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_non_unique_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_one_dim_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex64, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_default_tensor_type_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2024-12-18T00:00:15.6510598Z 2024-12-18T00:00:15.6511079Z Running test_tensorexpr 1/1 ... [2024-12-18 00:00:15.556628] 2024-12-18T00:00:15.6512013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:00:15.6514411Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:00:15.556927] 2024-12-18T00:01:03.8841103Z 2024-12-18T00:01:03.8842453Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_8c9b037e445ab579_.log 2024-12-18T00:01:03.8866844Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2024-12-18T00:01:03.8886434Z 2024-12-18T00:01:03.8886644Z Running test_fake_tensor 1/1 ... [2024-12-18 00:01:03.884446] 2024-12-18T00:01:03.8887063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:01:03.8888102Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:01:03.884854] 2024-12-18T00:01:10.5081155Z 2024-12-18T00:01:10.5082152Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_1a1e52ba34ac0dc3_.log 2024-12-18T00:01:10.5174505Z Running 238 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device 2024-12-18T00:01:10.5265599Z 2024-12-18T00:01:10.5265756Z Running test_fx 1/1 ... [2024-12-18 00:01:10.508585] 2024-12-18T00:01:10.5266140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:01:10.5267140Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:01:10.508886] 2024-12-18T00:04:49.1294281Z 2024-12-18T00:04:49.1295189Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_4474ef533f1b08de_.log 2024-12-18T00:04:49.1755514Z Running 1250 items in this shard: test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2024-12-18T00:04:49.2203585Z 2024-12-18T00:04:49.2203827Z Running test_multiprocessing 1/1 ... [2024-12-18 00:04:49.130945] 2024-12-18T00:04:49.2204266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:04:49.2205315Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:04:49.131236] 2024-12-18T00:05:47.0725788Z 2024-12-18T00:05:47.0726719Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_660e02eefcae85ea_.log 2024-12-18T00:05:47.0740663Z Running 41 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2024-12-18T00:05:47.0753877Z 2024-12-18T00:05:47.0754062Z Running test_native_mha 1/1 ... [2024-12-18 00:05:47.072720] 2024-12-18T00:05:47.0754470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:05:47.0755487Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:05:47.073017] 2024-12-18T00:05:50.5918515Z 2024-12-18T00:05:50.5919345Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_207adc93793f639b_.log 2024-12-18T00:05:50.5940489Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2024-12-18T00:05:50.5960564Z 2024-12-18T00:05:50.5960769Z Running test_sort_and_select 1/1 ... [2024-12-18 00:05:50.591984] 2024-12-18T00:05:50.5961199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:05:50.5962310Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:05:50.592281] 2024-12-18T00:05:55.8634425Z 2024-12-18T00:05:55.8635311Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_12199101b1b417b0_.log 2024-12-18T00:05:55.8672627Z Running 112 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2024-12-18T00:05:55.8708842Z 2024-12-18T00:05:55.8709033Z Running nn/test_pooling 1/1 ... [2024-12-18 00:05:55.863678] 2024-12-18T00:05:55.8709445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:05:55.8710530Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:05:55.863949] 2024-12-18T00:06:23.7213716Z 2024-12-18T00:06:23.7214713Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_b71b73628bce7877_.log 2024-12-18T00:06:23.7252566Z Running 101 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2024-12-18T00:06:23.7289506Z 2024-12-18T00:06:23.7289722Z Running test_python_dispatch 1/1 ... [2024-12-18 00:06:23.721589] 2024-12-18T00:06:23.7290161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:06:23.7291210Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:06:23.721900] 2024-12-18T00:06:37.8829656Z 2024-12-18T00:06:37.8830757Z PRINTING LOG FILE of test_python_dispatch 1/1 (test/test-reports/test_python_dispatch_1.1_a7667f800b96c242_.log) 2024-12-18T00:06:37.8832291Z Test results will be stored in test-reports/python-pytest/test_python_dispatch/test_python_dispatch-f98c4057f6f97165.xml 2024-12-18T00:06:37.8833206Z ============================= test session starts ============================== 2024-12-18T00:06:37.8834150Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:06:37.8834835Z cachedir: .pytest_cache 2024-12-18T00:06:37.8835762Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:06:37.8836605Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:06:37.8836967Z configfile: pytest.ini 2024-12-18T00:06:37.8837937Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:06:37.8839093Z collecting ... collected 119 items 2024-12-18T00:06:37.8839680Z stepcurrent: Cannot find last run test, not skipping 2024-12-18T00:06:37.8910867Z Running 119 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_error_cases, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_multiple_returns, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_no_returns, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_one_return, test/test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_with_optional, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_autograd_device_check, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2024-12-18T00:06:37.8964400Z 2024-12-18T00:06:37.8964796Z test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed PASSED [0.0037s] [ 0%] 2024-12-18T00:06:37.8965597Z test_python_dispatch.py::TestPythonRegistration::test_alias_analysis PASSED [0.0068s] [ 1%] 2024-12-18T00:06:37.8966371Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library PASSED [0.0024s] [ 2%] 2024-12-18T00:06:37.8967238Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing PASSED [0.0018s] [ 3%] 2024-12-18T00:06:37.8968200Z test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing PASSED [0.0022s] [ 4%] 2024-12-18T00:06:37.8969115Z test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind PASSED [0.0015s] [ 5%] 2024-12-18T00:06:37.8969988Z test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable PASSED [0.0015s] [ 5%] 2024-12-18T00:06:37.8970862Z test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg PASSED [0.0019s] [ 6%] 2024-12-18T00:06:37.8971678Z test_python_dispatch.py::TestPythonRegistration::test_fallback PASSED [0.0068s] [ 7%] 2024-12-18T00:06:37.8972442Z test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough PASSED [0.0057s] [ 8%] 2024-12-18T00:06:37.8973225Z test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset PASSED [0.0051s] [ 9%] 2024-12-18T00:06:37.8974091Z test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls PASSED [0.0017s] [ 10%] 2024-12-18T00:06:37.8974919Z test_python_dispatch.py::TestPythonRegistration::test_finalizer PASSED [0.0017s] [ 10%] 2024-12-18T00:06:37.8977022Z test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries SKIPPED [0.0008s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142460 for platform(s) asan, linux, rocm, slow, win, windows, mac, macos. 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.) [ 11%] 2024-12-18T00:06:37.8980513Z test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142475 for platform(s) asan, linux, mac, macos, rocm, win, windows, slow. 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.) [ 12%] 2024-12-18T00:06:37.8983741Z test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142495 for platform(s) linux, slow. 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.) [ 13%] 2024-12-18T00:06:37.8986899Z test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142494 for platform(s) asan, linux, rocm, 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.) [ 14%] 2024-12-18T00:06:37.8988982Z test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_error_cases PASSED [0.0034s] [ 15%] 2024-12-18T00:06:37.8991167Z test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_multiple_returns SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142807 for platform(s) asan, linux, rocm, slow, win, windows, mac, macos. 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.) [ 15%] 2024-12-18T00:06:37.8994574Z test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_no_returns SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/117834 for platform(s) asan, dynamo, linux, rocm, win, windows, mac, macos. 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.) [ 16%] 2024-12-18T00:06:37.8998055Z test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_one_return SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/117816 for platform(s) asan, dynamo, linux, rocm, slow, win, windows, mac, macos. 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.) [ 17%] 2024-12-18T00:06:37.9001502Z test_python_dispatch.py::TestPythonRegistration::test_register_functional_op_with_optional SKIPPED [0.0008s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/117871 for platform(s) asan, dynamo, linux, rocm, 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.) [ 18%] 2024-12-18T00:06:37.9003632Z test_python_dispatch.py::TestPythonRegistration::test_returning_symint ('RERUN', {'yellow': True}) [0.0534s] [ 19%] 2024-12-18T00:06:37.9004551Z test_python_dispatch.py::TestPythonRegistration::test_returning_symint ('RERUN', {'yellow': True}) [0.0130s] [ 19%] 2024-12-18T00:06:37.9005400Z test_python_dispatch.py::TestPythonRegistration::test_returning_symint FAILED [0.0140s] [ 19%] 2024-12-18T00:06:37.9005840Z 2024-12-18T00:06:37.9006013Z ==================================== RERUNS ==================================== 2024-12-18T00:06:37.9006502Z _________________ TestPythonRegistration.test_returning_symint _________________ 2024-12-18T00:06:37.9007046Z Traceback (most recent call last): 2024-12-18T00:06:37.9007624Z File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 577, in test_returning_symint 2024-12-18T00:06:37.9008259Z ft = fake_tensor_mode.from_tensor(torch.rand(2, 3)) 2024-12-18T00:06:37.9008637Z ^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9009285Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9009979Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9010374Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9011053Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9011665Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9011958Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9012551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9013192Z return prims._uniform_helper( 2024-12-18T00:06:37.9013498Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9014014Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9014568Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9014865Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9015488Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9016141Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9016467Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9017051Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9017668Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9017973Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9018566Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9019216Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9019874Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9020575Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9020973Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9021575Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9022185Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9022475Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9023065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9023702Z return prims._uniform_helper( 2024-12-18T00:06:37.9023987Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9024491Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9025036Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9025341Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9025951Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9026600Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9026902Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9027480Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9028082Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9028394Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9028992Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9029685Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9030341Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9031038Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9031434Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9032040Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9032648Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9032924Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9033568Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9034208Z return prims._uniform_helper( 2024-12-18T00:06:37.9034508Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9035026Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9035580Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9035874Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9036493Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9037142Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9037462Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9038041Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9038632Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9038945Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9039539Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9040178Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9040837Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9041614Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9041998Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9042612Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9043220Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9043514Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9044108Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9044731Z return prims._uniform_helper( 2024-12-18T00:06:37.9045032Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9045540Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9046088Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9046396Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9047012Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9047644Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9047960Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9048536Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9049137Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9049445Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9050032Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9050670Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9051323Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9052094Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9052500Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9053109Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9053702Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9053998Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9054592Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9055224Z return prims._uniform_helper( 2024-12-18T00:06:37.9055521Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9056072Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9056623Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9056930Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9057545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9058371Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9058696Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9059268Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9059878Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9060200Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9060799Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9061444Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9062103Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9062795Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9063201Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9063820Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9064430Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9064723Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9065302Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9065939Z return prims._uniform_helper( 2024-12-18T00:06:37.9066241Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9066750Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9067293Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9067603Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9068206Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9068859Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9069178Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9069755Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9070359Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9070657Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9071246Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9071883Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9072536Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9073232Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9073630Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9074225Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9074967Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9075256Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9075849Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9076485Z return prims._uniform_helper( 2024-12-18T00:06:37.9076773Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9077291Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9077838Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9078145Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9078828Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9079476Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9079778Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9080354Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9080961Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9081274Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9081949Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9082580Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9083239Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9083943Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9084344Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9084963Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9085566Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9085844Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9086442Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9087069Z return prims._uniform_helper( 2024-12-18T00:06:37.9087365Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9087870Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9088416Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9088707Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9089318Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9089967Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9090282Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9090861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9091451Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9091765Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9092357Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9092999Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9093658Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9094352Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9094735Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9095345Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9095951Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9096238Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9096825Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9097712Z return prims._uniform_helper( 2024-12-18T00:06:37.9098012Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9098519Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9099066Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9099373Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9099994Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9100635Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9100950Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9101588Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9102197Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9102511Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9103089Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9103739Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9104390Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9105087Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9105482Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9106091Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9106696Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9106986Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9107581Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9108217Z return prims._uniform_helper( 2024-12-18T00:06:37.9108521Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9109039Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9109577Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9109890Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9110511Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9111165Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9111483Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9112052Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9112663Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9112985Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9113582Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9114234Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9114892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9115580Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9115980Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9116595Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9117200Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9117489Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9118063Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9118696Z return prims._uniform_helper( 2024-12-18T00:06:37.9118994Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9119502Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9120044Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9120414Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9121018Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9121749Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9122067Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9122651Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9123258Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9123556Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9124206Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9124854Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9125509Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9126211Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9126609Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9127207Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9127812Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9128110Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9128700Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9129331Z return prims._uniform_helper( 2024-12-18T00:06:37.9129631Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9130131Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9130678Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9130984Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9131602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9132254Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9132555Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9133136Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9133739Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9134049Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9134638Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9135282Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9135926Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9136621Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9137016Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9137633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9138237Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9138512Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9139102Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9139730Z return prims._uniform_helper( 2024-12-18T00:06:37.9140032Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9140540Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9141088Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9141383Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9141998Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9142648Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9143025Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9143603Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9144196Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9144506Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9145099Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9145748Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9146404Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9147151Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9147535Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9148144Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9148754Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9149046Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9149637Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9150266Z return prims._uniform_helper( 2024-12-18T00:06:37.9150554Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9151065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9151610Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9151914Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9152532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9153168Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9153483Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9154062Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9154671Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9154987Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9155570Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9156214Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9156872Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9157573Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9158142Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9158790Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9159388Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9159687Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9160290Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9160927Z return prims._uniform_helper( 2024-12-18T00:06:37.9161234Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9161808Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9162345Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9162660Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9163278Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9163933Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9164255Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9164821Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9165426Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9193613Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9194395Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9195060Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9195731Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9196439Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9196832Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9197450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9198247Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9198548Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9199147Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9199801Z return prims._uniform_helper( 2024-12-18T00:06:37.9200090Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9200606Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9201156Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9201544Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9202166Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9202806Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9203131Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9203719Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9204329Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9204648Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9205240Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9205877Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9206526Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9207225Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9207624Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9208236Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9208841Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9209119Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9209719Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9210348Z return prims._uniform_helper( 2024-12-18T00:06:37.9210651Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9211171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9211704Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9212015Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9212637Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9213289Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9213607Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9214176Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9214786Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9215103Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9215701Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9216345Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9217083Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9217772Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9218173Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9218785Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9219394Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9219690Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9220287Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9220961Z return prims._uniform_helper( 2024-12-18T00:06:37.9221264Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9221778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9222326Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9222643Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9223246Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9223903Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9224223Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9224804Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9225409Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9225725Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9226308Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9226953Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9227612Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9228314Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9228715Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9229315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9229927Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9230217Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9230810Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9231443Z return prims._uniform_helper( 2024-12-18T00:06:37.9231742Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9232244Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9232789Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9233095Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9233710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9234362Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9234667Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9235249Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9235855Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9236168Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9236763Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9237407Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9238058Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9238758Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9239158Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9239831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9240442Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9240736Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9241319Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9242039Z return prims._uniform_helper( 2024-12-18T00:06:37.9242345Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9242863Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9243418Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9243770Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9244394Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9245047Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9245373Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9245961Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9246567Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9246868Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9247461Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9248107Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9248764Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9249468Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9249852Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9250463Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9251077Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9251369Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9251962Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9252597Z return prims._uniform_helper( 2024-12-18T00:06:37.9252886Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9253400Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9253944Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9254248Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9254866Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9255500Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9255817Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9256394Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9257004Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9257321Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9257909Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9258779Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9259423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9260122Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9260521Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9261133Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9261733Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9262021Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9262710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9263339Z return prims._uniform_helper( 2024-12-18T00:06:37.9263639Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9264147Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9264693Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9264987Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9265602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9266248Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9266646Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9267231Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9267838Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9268142Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9268733Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9269377Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9270029Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9270727Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9271111Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9271721Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9272328Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9272618Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9273204Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9273839Z return prims._uniform_helper( 2024-12-18T00:06:37.9274127Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9274635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9275181Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9275487Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9276097Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9276732Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9277045Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9277622Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9278220Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9278530Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9279117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9279747Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9280395Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9281089Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9281560Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9282171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9282778Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9283056Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9283651Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9284287Z return prims._uniform_helper( 2024-12-18T00:06:37.9284592Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9285163Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9285770Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9286074Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9286685Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9287331Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9287650Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9288232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9288830Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9289207Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9289800Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9290441Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9291080Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9291787Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9292184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9292791Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9293395Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9293684Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9294264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9294899Z return prims._uniform_helper( 2024-12-18T00:06:37.9295203Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9295715Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9296265Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9296563Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9297174Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9297822Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9298142Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9298715Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9299314Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9299614Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9301547Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9302193Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9302842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9303539Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9303930Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9304529Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9305131Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9305418Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9306014Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9306638Z return prims._uniform_helper( 2024-12-18T00:06:37.9306936Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9307438Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9307980Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9308282Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9308896Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9309671Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9309975Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9310556Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9311158Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9311466Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9312053Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9312689Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9313381Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9314077Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9314473Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9315086Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9315689Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9315971Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9316559Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9317187Z return prims._uniform_helper( 2024-12-18T00:06:37.9317484Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9317986Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9318524Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9318819Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9319428Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9320078Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9320395Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9320971Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9321644Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9321957Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9322548Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9323194Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9323843Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9324539Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9324919Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9325524Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9326127Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9326415Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9327001Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9327626Z return prims._uniform_helper( 2024-12-18T00:06:37.9327912Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9328423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9328968Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9329270Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9329888Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9330525Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9330838Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9331415Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9332086Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9332398Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9332979Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9333625Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9334273Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9334972Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9335364Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9336023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9336618Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9336909Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9337508Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9338139Z return prims._uniform_helper( 2024-12-18T00:06:37.9338440Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9338949Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9339487Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9339792Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9340411Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9341064Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9341385Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9341956Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9342568Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9342882Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9343470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9344104Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9344750Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9345429Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9345824Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9346425Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9347027Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9347317Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9347889Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9348524Z return prims._uniform_helper( 2024-12-18T00:06:37.9348818Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9349319Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9349862Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9350162Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9350765Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9351406Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9351716Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9352414Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9353018Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9353313Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9353903Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9354633Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9355283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9355974Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9356373Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9356966Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9357572Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9357861Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9358752Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9359384Z return prims._uniform_helper( 2024-12-18T00:06:37.9359680Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9360185Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9360728Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9361033Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9361714Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9362363Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9362668Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9363365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9364037Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9364358Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9364948Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9365588Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9366229Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9366924Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9367318Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9367921Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9368521Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9368795Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9369381Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9370014Z return prims._uniform_helper( 2024-12-18T00:06:37.9370309Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9370812Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9371362Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9371655Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9372263Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9372913Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9373225Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9373797Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9374388Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9374694Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9375284Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9375923Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9376576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9377384Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9377770Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9378374Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9378978Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9379272Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9379866Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9380494Z return prims._uniform_helper( 2024-12-18T00:06:37.9380784Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9381340Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9381883Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9382183Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9382807Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9383451Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9383769Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9384352Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9384960Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9385273Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9385854Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9386510Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9387173Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9387875Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9388278Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9388897Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9389489Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9389786Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9390379Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9391011Z return prims._uniform_helper( 2024-12-18T00:06:37.9391315Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9391820Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9392356Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9392663Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9393272Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9393917Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9394312Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9394876Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9395478Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9395787Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9396375Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9397015Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9397664Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9398357Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9398752Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9399358Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9400039Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9400333Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9400907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9401593Z return prims._uniform_helper( 2024-12-18T00:06:37.9401886Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9402393Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9402934Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9403239Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9403894Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9404535Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9404909Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9405572Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9406179Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9406475Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9407069Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9407707Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9408351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9409046Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9409442Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9410044Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9410643Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9410928Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9411513Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9412134Z return prims._uniform_helper( 2024-12-18T00:06:37.9412425Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9412915Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9413450Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9413750Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9414359Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9414993Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9415295Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9415861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9416459Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9416768Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9417347Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9417988Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9418622Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9419305Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9419693Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9420289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9420887Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9421160Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9421742Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9422437Z return prims._uniform_helper( 2024-12-18T00:06:37.9422731Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9423235Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9423772Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9424059Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9424667Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9425304Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9425613Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9426238Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9426825Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9427132Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9427712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9428348Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9428993Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9429683Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9430062Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9430666Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9431261Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9431545Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9432135Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9432755Z return prims._uniform_helper( 2024-12-18T00:06:37.9433041Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9433554Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9434089Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9434393Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9435005Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9435636Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9435954Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9436526Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9437122Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9437426Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9438011Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9438638Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9439282Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9439972Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9440364Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9440968Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9441663Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9441948Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9442532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9443157Z return prims._uniform_helper( 2024-12-18T00:06:37.9443451Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9443952Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9444559Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9444867Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9445466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9446195Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9446507Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9447072Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9447680Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9447981Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9448632Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9449272Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9449928Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9450611Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9450999Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9451602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9452200Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9452486Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9453062Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9453671Z return prims._uniform_helper( 2024-12-18T00:06:37.9453959Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9454460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9454998Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9455300Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9455898Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9456684Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9456993Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9457565Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9458326Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9458627Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9459222Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9459870Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9460532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9461226Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9461621Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9462224Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9462831Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9463120Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9463711Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9464342Z return prims._uniform_helper( 2024-12-18T00:06:37.9464640Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9465134Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9465680Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9465987Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9466600Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9467249Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9467668Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9468246Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9468850Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9469161Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9469756Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9470400Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9471039Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9471799Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9472206Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9472817Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9473426Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9473715Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9474294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9474924Z return prims._uniform_helper( 2024-12-18T00:06:37.9475221Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9475727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9476272Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9476565Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9477183Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9477835Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9478149Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9478727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9479335Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9479635Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9480227Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9480876Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9481626Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9482328Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9482716Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9483333Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9483944Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9484235Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9484835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9485465Z return prims._uniform_helper( 2024-12-18T00:06:37.9485754Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9486259Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9486806Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9487117Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9487732Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9488366Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9488683Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9489260Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9489862Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9490244Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9490836Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9491461Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9492109Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9492806Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9493201Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9493810Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9494470Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9494750Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9495341Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9495976Z return prims._uniform_helper( 2024-12-18T00:06:37.9496277Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9496788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9497317Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9497622Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9498238Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9498882Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9499197Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9499764Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9500365Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9500674Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9501262Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9501911Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9502566Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9503252Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9503650Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9504261Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9504864Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9505154Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9505748Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9506368Z return prims._uniform_helper( 2024-12-18T00:06:37.9506667Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9507180Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9507719Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9508024Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9508627Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9509273Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9509586Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9510164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9510767Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9511080Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9511660Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9512302Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9513019Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9513714Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9514111Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9514703Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9515312Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9515598Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9516190Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9516886Z return prims._uniform_helper( 2024-12-18T00:06:37.9517185Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9517679Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9518224Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9518529Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9519149Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9519797Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9520101Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9520678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9521276Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9521656Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9522252Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9522893Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9523534Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9524236Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9524629Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9525238Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9525843Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9526137Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9526720Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9527354Z return prims._uniform_helper( 2024-12-18T00:06:37.9527659Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9528175Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9528731Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9529028Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9529648Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9530300Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9530621Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9531208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9531817Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9532121Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9532714Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9533357Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9534015Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9534712Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9535098Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9535798Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9536403Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9536695Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9537288Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9537919Z return prims._uniform_helper( 2024-12-18T00:06:37.9538204Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9538716Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9539254Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9539610Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9540225Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9540859Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9541182Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9541761Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9542366Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9542678Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9543273Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9543910Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9544559Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9545258Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9545653Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9546262Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9546868Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9547143Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9547731Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9548361Z return prims._uniform_helper( 2024-12-18T00:06:37.9548657Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9549162Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9549693Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9549997Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9550613Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9551258Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9551571Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9552144Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9552736Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9553044Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9553635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9554273Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9554919Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9555601Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9555727Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9556113Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9556227Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9556319Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9556800Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9556909Z return prims._uniform_helper( 2024-12-18T00:06:37.9557000Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9557335Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9557442Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9557548Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9558137Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9558268Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9558460Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9558838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9558962Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9559060Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9559463Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9559595Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9560016Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9560186Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9560295Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9560689Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9560793Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9560902Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9561301Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9561493Z return prims._uniform_helper( 2024-12-18T00:06:37.9561585Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9561901Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9562021Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9562115Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9562542Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9562653Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9562766Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9563141Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9563250Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9563362Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9563747Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9563894Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9564298Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9564479Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9564589Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9564970Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9565087Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9565178Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9565597Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9565706Z return prims._uniform_helper( 2024-12-18T00:06:37.9565811Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9566203Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9566309Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9566411Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9566825Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9566949Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9567042Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9567427Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9567535Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9567677Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9568079Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9568212Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9568633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9568802Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9568925Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9569303Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9569404Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9569519Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9569922Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9570048Z return prims._uniform_helper( 2024-12-18T00:06:37.9570139Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9570469Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9570581Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9570674Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9571101Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9571213Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9571320Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9571693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9571817Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9571911Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9572306Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9572455Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9572863Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9573054Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9573166Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9573560Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9573665Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9573757Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9574173Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9574286Z return prims._uniform_helper( 2024-12-18T00:06:37.9574392Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9574712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9574835Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9574929Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9575345Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9575524Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9575616Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9576004Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9576116Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9576225Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9576618Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9576751Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9577237Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9577409Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9577535Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9577919Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9578037Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9578128Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9578528Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9578649Z return prims._uniform_helper( 2024-12-18T00:06:37.9578739Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9579065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9579173Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9579283Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9579695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9579805Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9579916Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9580289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9580408Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9580501Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9580900Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9581031Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9581434Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9581621Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9581731Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9582119Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9582227Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9582330Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9582727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9582839Z return prims._uniform_helper( 2024-12-18T00:06:37.9582948Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9583264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9583381Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9583475Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9583902Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9584013Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9584108Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9584496Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9584659Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9584766Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9585154Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9585301Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9585705Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9585875Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9585996Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9586426Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9586542Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9586633Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9587052Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9587160Z return prims._uniform_helper( 2024-12-18T00:06:37.9587251Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9587578Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9587684Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9587788Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9588200Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9588324Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9588423Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9588794Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9588917Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9589016Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9589419Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9589553Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9589969Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9590138Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9590249Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9590641Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9590746Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9590851Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9591251Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9591375Z return prims._uniform_helper( 2024-12-18T00:06:37.9591465Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9591782Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9591901Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9591992Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9592418Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9592526Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9592632Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9593006Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9593115Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9593220Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9593608Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9593804Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9594208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9594391Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9594500Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9594888Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9594991Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9595081Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9595544Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9595654Z return prims._uniform_helper( 2024-12-18T00:06:37.9595757Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9596077Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9596182Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9596287Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9596702Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9596826Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9596919Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9597303Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9597412Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9597510Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9597907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9598037Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9598454Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9598623Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9598744Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9599121Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9599234Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9599328Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9599727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9599849Z return prims._uniform_helper( 2024-12-18T00:06:37.9599940Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9600271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9600379Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9600470Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9600898Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9601009Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9601115Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9601657Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9601784Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9601878Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9602271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9602418Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9602821Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9603126Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9603238Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9603631Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9603734Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9603827Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9604242Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9604351Z return prims._uniform_helper( 2024-12-18T00:06:37.9604456Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9604822Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9604941Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9605032Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9605448Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9619252Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9619392Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9619815Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9619932Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9620043Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9620445Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9620586Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9621025Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9621201Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9621325Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9621718Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9621838Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9621929Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9622335Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9622458Z return prims._uniform_helper( 2024-12-18T00:06:37.9622550Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9622883Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9622991Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9623100Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9623520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9623635Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9623743Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9624119Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9624242Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9624336Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9624739Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9624875Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9625280Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9625470Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9625581Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9625978Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9626226Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9626332Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9626736Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9626848Z return prims._uniform_helper( 2024-12-18T00:06:37.9626955Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9627277Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9627399Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9627491Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9627979Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9628094Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9628188Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9628576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9628691Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9628801Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9629191Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9629338Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9629747Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9629921Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9630049Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9630433Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9630551Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9630640Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9631060Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9631170Z return prims._uniform_helper( 2024-12-18T00:06:37.9631261Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9631593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9631702Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9631809Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9632223Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9632351Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9632450Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9632822Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9632945Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9633044Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9633448Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9633580Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9633998Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9634167Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9634279Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9634678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9634784Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9634887Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9635286Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9635461Z return prims._uniform_helper( 2024-12-18T00:06:37.9635552Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9635869Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9635990Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9636081Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9636510Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9636620Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9636727Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9637149Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9637261Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9637369Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9637758Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9637908Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9638316Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9638502Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9638614Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9638997Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9639115Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9639206Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9639628Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9639739Z return prims._uniform_helper( 2024-12-18T00:06:37.9639843Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9640162Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9640272Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9640378Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9640793Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9640919Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9641013Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9641482Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9641597Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9641696Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9642103Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9642238Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9642663Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9642836Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9642964Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9643346Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9643451Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9643559Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9643960Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9644088Z return prims._uniform_helper( 2024-12-18T00:06:37.9644180Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9644510Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9644675Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9644767Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9645196Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9645310Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9645422Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9645793Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9645917Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9646013Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9646452Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9646601Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9647006Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9647193Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9647303Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9647694Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9647801Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9647893Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9648310Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9648421Z return prims._uniform_helper( 2024-12-18T00:06:37.9648526Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9648847Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9648968Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9649060Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9649475Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9649606Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9649702Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9650091Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9650200Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9650309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9650698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9650833Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9651259Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9651430Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9651554Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9651942Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9652060Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9652153Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9652553Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9652677Z return prims._uniform_helper( 2024-12-18T00:06:37.9652770Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9653102Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9653207Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9653313Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9653727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9653889Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9653997Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9654372Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9654495Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9654589Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9654993Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9655126Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9655534Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9655771Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9655883Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9656274Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9656381Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9656484Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9656883Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9656995Z return prims._uniform_helper( 2024-12-18T00:06:37.9657098Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9657416Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9657537Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9657630Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9658261Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9658376Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9658472Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9658860Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9658975Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9659084Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9659475Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9659623Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9660147Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9660434Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9660653Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9661192Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9661312Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9661404Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9661828Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9661938Z return prims._uniform_helper( 2024-12-18T00:06:37.9662031Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9662362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9662469Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9662574Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9662990Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9663115Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9663214Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9663589Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9663710Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9663958Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9664365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9664500Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9664922Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9665092Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9665206Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9665609Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9665780Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9665886Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9666286Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9666412Z return prims._uniform_helper( 2024-12-18T00:06:37.9666505Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9666819Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9666939Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9667031Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9667458Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9667570Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9667678Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9668056Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9668165Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9668274Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9668662Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9668815Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9669226Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9669408Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9669519Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9669896Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9670011Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9670103Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9670519Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9670627Z return prims._uniform_helper( 2024-12-18T00:06:37.9670732Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9671051Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9671157Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9671259Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9671673Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9671797Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9671889Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9672271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9672379Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9672476Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9672873Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9673004Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9673468Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9673640Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9673761Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9674141Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9674244Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9674348Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9674747Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9674920Z return prims._uniform_helper( 2024-12-18T00:06:37.9675011Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9675339Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9675449Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9675542Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9675970Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9676080Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9676188Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9676563Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9676684Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9676779Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9677175Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9677321Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9677727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9677913Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9678023Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9678416Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9678518Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9678611Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9679021Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9679131Z return prims._uniform_helper( 2024-12-18T00:06:37.9679232Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9679551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9679672Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9679763Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9680176Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9680302Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9680397Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9680778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9680889Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9680996Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9681460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9681600Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9682027Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9682200Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9682325Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9682762Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9682877Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9682968Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9683368Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9683488Z return prims._uniform_helper( 2024-12-18T00:06:37.9683580Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9683907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9684013Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9684171Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9684589Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9684705Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9684813Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9685183Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9685305Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9685398Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9685797Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9685928Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9686332Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9686516Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9686627Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9687017Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9687122Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9687225Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9687625Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9687734Z return prims._uniform_helper( 2024-12-18T00:06:37.9687841Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9688154Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9688271Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9688361Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9688788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9688898Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9688991Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9689376Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9689491Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9689598Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9689983Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9690127Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9690531Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9690702Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9690824Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9691208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9691318Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9691407Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9691867Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9691974Z return prims._uniform_helper( 2024-12-18T00:06:37.9692066Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9692394Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9692500Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9692605Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9693017Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9693140Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9693302Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9693677Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9693798Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9693896Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9694302Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9694434Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9694838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9695022Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9695132Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9695526Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9695632Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9695736Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9696136Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9696246Z return prims._uniform_helper( 2024-12-18T00:06:37.9696353Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9696670Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9696791Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9696881Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9697307Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9697418Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9697513Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9697904Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9698014Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9698124Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9698514Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9698664Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9699073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9699244Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9699370Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9699747Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9699862Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9699955Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9700374Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9700481Z return prims._uniform_helper( 2024-12-18T00:06:37.9700574Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9700955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9701062Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9701169Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9701580Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9701704Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9701796Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9702167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9702287Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9702430Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9702831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9702963Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9703384Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9703552Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9703663Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9704054Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9704155Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9704254Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9704654Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9704775Z return prims._uniform_helper( 2024-12-18T00:06:37.9704864Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9705178Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9705294Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9705386Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9705809Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9705918Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9706025Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9706396Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9706507Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9706615Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9707004Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9707149Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9707555Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9707739Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9707848Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9708227Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9708339Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9708431Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9708846Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9708953Z return prims._uniform_helper( 2024-12-18T00:06:37.9709057Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9709376Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9709482Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9709588Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9710056Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9710179Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9710271Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9710653Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9710762Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9710855Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9711255Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9711388Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9711855Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9712023Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9712145Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9712528Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9712632Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9712736Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9713136Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9713256Z return prims._uniform_helper( 2024-12-18T00:06:37.9713346Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9713674Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9713781Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9713875Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9714299Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9714413Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9714519Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9714891Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9715013Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9715106Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9715492Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9715636Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9716040Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9716224Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9716334Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9716722Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9716827Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9716917Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9717329Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9717435Z return prims._uniform_helper( 2024-12-18T00:06:37.9717536Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9717850Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9717971Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9718060Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9718479Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9718599Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9718692Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9719072Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9719233Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9719341Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9719729Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9719861Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9720273Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9720442Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9720562Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9720989Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9721106Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9721195Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9721684Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9721808Z return prims._uniform_helper( 2024-12-18T00:06:37.9721900Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9722225Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9722330Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9722434Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9722847Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9722958Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9723068Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9723439Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9723563Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9723658Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9724059Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9724191Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9724593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9724774Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9724885Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9725277Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9725380Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9725481Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9725877Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9725989Z return prims._uniform_helper( 2024-12-18T00:06:37.9726091Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9726406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9726521Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9726611Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9727036Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9727145Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9727241Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9727630Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9727738Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9727845Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9728232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9728436Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9728838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9729008Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9729131Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9729507Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9729621Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9729710Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9730185Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9730293Z return prims._uniform_helper( 2024-12-18T00:06:37.9730382Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9730715Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9730818Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9730920Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9731328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9731449Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9731542Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9731911Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9732041Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9732141Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9732543Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9732675Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9733098Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9733269Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9733380Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9733775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9733877Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9733982Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9734386Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9734510Z return prims._uniform_helper( 2024-12-18T00:06:37.9734601Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9734912Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9735035Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9735128Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9735551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9735661Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9735767Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9736139Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9736250Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9736357Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9736749Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9736892Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9737298Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9737530Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9737642Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9738028Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9738142Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9738235Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9738651Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9738758Z return prims._uniform_helper( 2024-12-18T00:06:37.9738860Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9739227Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9739338Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9739441Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9739854Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9739975Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9740068Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9740447Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9740555Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9740649Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9741046Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9741181Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9741602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9741772Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9741896Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9742278Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9742379Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9742478Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9742876Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9742994Z return prims._uniform_helper( 2024-12-18T00:06:37.9743081Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9743413Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9743517Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9743609Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9744034Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9744150Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9744260Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9744633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9744756Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9744847Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9745234Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9745378Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9745784Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9745972Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9746081Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9746476Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9746632Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9746722Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9747135Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9747241Z return prims._uniform_helper( 2024-12-18T00:06:37.9747342Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9747656Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9747774Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9747865Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9748329Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9748454Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9748546Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9748929Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9749043Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9749147Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9749542Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9749672Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9750090Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9750256Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9750379Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9750763Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9750876Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9750967Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9751368Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9751488Z return prims._uniform_helper( 2024-12-18T00:06:37.9751578Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9751903Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9752008Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9752112Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9752529Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9752639Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9752749Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9753132Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9753254Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9753350Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9753749Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9753880Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9754285Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9754463Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9754571Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9754960Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9755065Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9755166Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9755563Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9755721Z return prims._uniform_helper( 2024-12-18T00:06:37.9755822Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9756134Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9756249Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9756337Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9756759Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9756868Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9756961Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9757461Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9757571Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9757677Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9758276Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9758433Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9758841Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9759014Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9759138Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9759515Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9759630Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9759719Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9760135Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9760241Z return prims._uniform_helper( 2024-12-18T00:06:37.9760332Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9760662Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9760766Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9760869Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9761283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9761460Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9761557Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9761928Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9762053Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9762148Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9762549Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9762680Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9763098Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9763267Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9763376Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9763766Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9763868Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9763971Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9764369Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9764495Z return prims._uniform_helper( 2024-12-18T00:06:37.9764588Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9764905Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9765164Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9765254Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9765678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9765788Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9765897Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9766270Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9766378Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9766486Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9766942Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9767086Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9767492Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9767678Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9767788Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9768167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9768280Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9768370Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9768782Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9768892Z return prims._uniform_helper( 2024-12-18T00:06:37.9768996Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9769314Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9769422Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9769525Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9769944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9770065Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9770158Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9770551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9770663Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9770755Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9771158Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9771293Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9771716Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9771888Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9772012Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9772397Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9772501Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9772607Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9773007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9773128Z return prims._uniform_helper( 2024-12-18T00:06:37.9773221Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9773554Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9773663Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9773760Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9774188Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9774355Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9774467Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9774841Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9774966Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9775063Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9775455Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9775603Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9776011Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9776245Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9776359Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9776755Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9776863Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9776954Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9777370Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9777477Z return prims._uniform_helper( 2024-12-18T00:06:37.9777584Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9777904Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9778023Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9778114Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9778532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9778654Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9778748Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9779134Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9779244Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9779349Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9779735Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9779868Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9780285Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9780455Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9780576Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9780958Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9781073Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9781164Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9781570Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9781689Z return prims._uniform_helper( 2024-12-18T00:06:37.9781780Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9782106Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9782212Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9782318Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9782734Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9782844Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9782953Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9783326Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9783449Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9783597Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9783998Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9784129Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9784536Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9784720Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9784831Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9785228Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9785383Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9785492Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9785895Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9786009Z return prims._uniform_helper( 2024-12-18T00:06:37.9786116Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9786433Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9786551Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9786645Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9787073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9787187Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9787282Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9787670Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9787781Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9787887Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9788274Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9788425Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9788830Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9788999Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9789123Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9789503Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9789618Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9789709Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9790127Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9790236Z return prims._uniform_helper( 2024-12-18T00:06:37.9790327Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9790660Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9790767Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9790871Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9791289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9791417Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9791510Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9791881Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9792002Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9792100Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9792500Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9792631Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9793106Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9793275Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9793385Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9793778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9793880Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9793982Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9794381Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9794550Z return prims._uniform_helper( 2024-12-18T00:06:37.9794643Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9794957Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9795078Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9795169Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9795597Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9795708Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9795814Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9796188Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9796298Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9796401Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9796791Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9796936Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9797336Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9797521Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9797630Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9798009Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9798123Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9798213Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9798622Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9798731Z return prims._uniform_helper( 2024-12-18T00:06:37.9798836Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9799157Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9799263Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9799366Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9799782Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9799904Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9799997Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9800383Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9800492Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9800585Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9800982Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9801113Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9801608Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9801781Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9801988Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9802369Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9802471Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9802574Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9802974Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9803093Z return prims._uniform_helper( 2024-12-18T00:06:37.9803184Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9803517Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9803626Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9803770Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9804202Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9804317Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9804425Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9804799Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9804923Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9805017Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9805406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9805550Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9805956Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9806139Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9806249Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9806642Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9806748Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9806840Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9807254Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9807365Z return prims._uniform_helper( 2024-12-18T00:06:37.9807472Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9807787Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9807906Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9807996Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9808414Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9808539Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9808633Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9809023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9809134Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9809240Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9809631Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9809762Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9810180Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9810351Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9810475Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9810859Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9810976Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9811068Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9811520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9811646Z return prims._uniform_helper( 2024-12-18T00:06:37.9811740Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9812070Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9812181Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9812284Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9812699Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9812815Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9812977Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9813350Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9813472Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9813575Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9813978Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9814111Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9814516Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9814703Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9814815Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9815208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9815311Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9815413Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9815811Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9815922Z return prims._uniform_helper( 2024-12-18T00:06:37.9816026Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9816343Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9816460Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9816552Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9816980Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9817090Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9817183Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9817572Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9817680Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9817785Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9818171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9818321Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9818726Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9818895Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9819019Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9819398Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9819511Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9819601Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9820015Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9820123Z return prims._uniform_helper( 2024-12-18T00:06:37.9820213Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9820596Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9820702Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9820808Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9821224Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9821346Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9821440Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9821810Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9821932Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9822079Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9822482Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9822614Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9823036Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9823208Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9823318Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9823714Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9823815Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9823921Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9824321Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9824444Z return prims._uniform_helper( 2024-12-18T00:06:37.9824534Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9824850Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9824972Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9825064Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9825497Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9825607Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9825713Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9826087Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9826197Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9826302Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9826693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9826839Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9827246Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9827435Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9827544Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9827934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9828037Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9828128Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9828543Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9828650Z return prims._uniform_helper( 2024-12-18T00:06:37.9828754Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9829073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9829179Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9829283Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9829754Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9829877Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9829970Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9830356Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9830465Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9830559Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9830960Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9831093Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9831571Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9831740Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9831866Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9832252Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9832364Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9832454Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9832856Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9832975Z return prims._uniform_helper( 2024-12-18T00:06:37.9833067Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9833395Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9833503Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9833596Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9834025Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9834139Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9834244Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9834616Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9834739Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9834836Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9835220Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9835364Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9835769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9835952Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9836060Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9836453Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9836558Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9836649Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9837061Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9837169Z return prims._uniform_helper( 2024-12-18T00:06:37.9837272Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9837584Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9837701Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9837791Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9838208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9838330Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9838423Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9838865Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9838974Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9839079Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9839467Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9839601Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9840019Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9840189Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9840309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9840737Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9840852Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9840947Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9841348Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9841552Z return prims._uniform_helper( 2024-12-18T00:06:37.9841650Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9841982Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9842090Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9842202Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9842619Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9842731Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9842842Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9843216Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9843339Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9843437Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9843835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9843967Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9844371Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9844553Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9844661Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9845054Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9845160Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9845261Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9845658Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9845781Z return prims._uniform_helper( 2024-12-18T00:06:37.9845871Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9846188Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9846305Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9846396Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9846826Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9846937Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9847031Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9847420Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9847531Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9847640Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9848029Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9848238Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9848644Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9848833Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9848945Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9849328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9849449Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9849542Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9850011Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9850122Z return prims._uniform_helper( 2024-12-18T00:06:37.9850214Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9850551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9850656Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9850763Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9851180Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9851306Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9851402Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9851779Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9851904Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9852003Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9852405Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9852536Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9852959Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9853132Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9853254Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9853633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9853735Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9853839Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9854240Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9854366Z return prims._uniform_helper( 2024-12-18T00:06:37.9854456Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9854771Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9854893Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9854987Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9855413Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9855524Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9855630Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9856001Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9856109Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9856219Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9856610Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9856753Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9857155Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9857391Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9857502Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9857894Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9858193Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9858285Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9858702Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9858809Z return prims._uniform_helper( 2024-12-18T00:06:37.9858913Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9859337Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9859444Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9859550Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9859969Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9860092Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9860187Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9860576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9860685Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9860780Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9861180Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9861316Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9861739Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9861909Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9862036Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9862417Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9862533Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9862625Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9863024Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9863143Z return prims._uniform_helper( 2024-12-18T00:06:37.9863234Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9863563Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9863668Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9863766Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9864193Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9864309Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9864416Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9864789Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9864914Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9865007Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9865392Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9865538Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9865941Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9866126Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9866237Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9866627Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9866804Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9866908Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9867306Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9867416Z return prims._uniform_helper( 2024-12-18T00:06:37.9867519Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9867836Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9867955Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9868046Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9868532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9868660Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9868754Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9869142Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9869251Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9869357Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9869744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9869877Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9870294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9870465Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9870589Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9870969Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9871083Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9871178Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9871585Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9871693Z return prims._uniform_helper( 2024-12-18T00:06:37.9871783Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9872109Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9872215Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9872320Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9872733Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9872855Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9872953Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9873327Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9873451Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9873547Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9873945Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9874075Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9874493Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9874663Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9874772Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9875163Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9875268Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9875373Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9875769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9875942Z return prims._uniform_helper( 2024-12-18T00:06:37.9876033Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9876349Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9876467Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9876557Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9876981Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9877090Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9877184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9877620Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9877731Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9877838Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9878224Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9878371Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9878775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9878956Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9879066Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9879446Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9879561Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9879653Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9880067Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9880178Z return prims._uniform_helper( 2024-12-18T00:06:37.9880282Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9880603Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9880712Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9880821Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9881234Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9881357Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9881539Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9881928Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9882038Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9882136Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9882537Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9882668Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9883088Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9883257Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9883380Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9883760Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9883861Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9883965Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9884365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9884488Z return prims._uniform_helper( 2024-12-18T00:06:37.9884580Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9884906Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9885072Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9885165Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9885593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9885704Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9885823Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9886198Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9886322Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9886417Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9886858Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9887006Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9887412Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9887601Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9887714Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9888108Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9888213Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9888306Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9888722Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9888833Z return prims._uniform_helper( 2024-12-18T00:06:37.9888944Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9889264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9889386Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9889480Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9889903Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9890030Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9890125Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9890513Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9890624Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9890721Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9891124Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9891255Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9891674Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9891843Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9891968Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9892347Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9892461Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9892554Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9892951Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9893072Z return prims._uniform_helper( 2024-12-18T00:06:37.9893163Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9893491Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9893596Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9893703Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9894114Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9894287Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9894392Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9894765Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9894886Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9894979Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9895375Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9895506Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9895908Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9896140Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9896251Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9896641Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9896746Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9896849Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9897351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9897487Z return prims._uniform_helper( 2024-12-18T00:06:37.9897594Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9897911Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9898029Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9898120Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9898552Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9898663Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9898757Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9899147Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9899258Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9899370Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9899761Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9899906Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9900309Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9900478Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9900603Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9900983Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9901100Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9901195Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9901606Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9901715Z return prims._uniform_helper( 2024-12-18T00:06:37.9901807Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9902136Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9902241Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9902345Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9902761Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9902883Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9902980Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9903354Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9903554Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9903648Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9904048Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9904180Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9904595Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9904764Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9904875Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9905272Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9905501Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9905611Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9906013Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9906140Z return prims._uniform_helper( 2024-12-18T00:06:37.9906234Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9906551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9906674Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9906768Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9907200Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9907313Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9907420Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9907810Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9907962Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9908097Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9908559Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9908709Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9909120Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9909303Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9909413Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9909796Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9909910Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9910000Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9910414Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9910523Z return prims._uniform_helper( 2024-12-18T00:06:37.9910626Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9910945Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9911052Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9911157Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9911574Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9911696Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9911792Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9912176Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9912285Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9912382Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9912781Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9912911Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9913403Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9913571Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9913697Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9914073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9914174Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9914283Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9914681Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9914854Z return prims._uniform_helper( 2024-12-18T00:06:37.9914945Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9915270Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9915378Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9915471Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9915895Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9916006Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9916111Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9916483Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9916607Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9916700Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9917088Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9917231Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9917633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9917817Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9917927Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9918316Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9918418Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9918509Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9918925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9919034Z return prims._uniform_helper( 2024-12-18T00:06:37.9919139Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9919460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9919581Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9919673Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9920092Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9920216Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9920311Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9920695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9920806Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9920911Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9921300Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9921496Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9921920Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9922091Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9922276Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9922656Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9922771Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9922862Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9923262Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9923383Z return prims._uniform_helper( 2024-12-18T00:06:37.9923475Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9923811Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9923970Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9924078Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9924490Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9924606Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9924714Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9925089Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9925214Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9925309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9925710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9925843Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9926252Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9926440Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9926550Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9926945Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9927053Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9927161Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9927563Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9927674Z return prims._uniform_helper( 2024-12-18T00:06:37.9927782Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9928098Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9928223Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9928320Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9928753Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9928866Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9928962Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9929352Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9929464Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9929575Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9929963Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9930112Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9930515Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9930691Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9930822Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9931202Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9931320Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9931468Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9931878Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9931986Z return prims._uniform_helper( 2024-12-18T00:06:37.9932079Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9932406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9932514Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9932618Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9933030Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9933153Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9933294Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9933665Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9933790Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9933882Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9934281Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9934412Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9934827Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9934996Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9935105Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9935497Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9935602Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9935704Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9936102Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9936226Z return prims._uniform_helper( 2024-12-18T00:06:37.9936317Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9936632Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9936750Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9936842Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9937266Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9937381Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9937487Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9937861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9937971Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9938078Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9938466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9938615Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9939019Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9939204Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9939314Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9939693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9939806Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9939895Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9940307Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9940417Z return prims._uniform_helper( 2024-12-18T00:06:37.9940521Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9940903Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9941010Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9941115Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9941530Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9941656Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9941750Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9942138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9942250Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9942397Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9942802Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9942934Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9943362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9943530Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9943653Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9944031Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9944133Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9944236Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9944634Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9944760Z return prims._uniform_helper( 2024-12-18T00:06:37.9944851Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9945179Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9945288Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9945380Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9945806Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9945915Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9946021Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9946392Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9946513Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9946606Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9946999Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9947143Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9947549Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9947733Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9947841Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9948232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9948335Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9948425Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9948835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9948942Z return prims._uniform_helper( 2024-12-18T00:06:37.9949044Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9949362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9949481Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9949570Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9950038Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9950162Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9950256Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9950639Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 286, in _prim_impl 2024-12-18T00:06:37.9950736Z meta(*args, **kwargs) 2024-12-18T00:06:37.9951136Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2741, in _uniform_meta 2024-12-18T00:06:37.9951291Z strides = utils.make_contiguous_strides_for(shape) 2024-12-18T00:06:37.9951399Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9951615Z RecursionError: maximum recursion depth exceeded 2024-12-18T00:06:37.9951626Z 2024-12-18T00:06:37.9951820Z To execute this test, run the following from the base repo dir: 2024-12-18T00:06:37.9952116Z python test/test_python_dispatch.py TestPythonRegistration.test_returning_symint 2024-12-18T00:06:37.9952126Z 2024-12-18T00:06:37.9952363Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-12-18T00:06:37.9952616Z _________________ TestPythonRegistration.test_returning_symint _________________ 2024-12-18T00:06:37.9952732Z Traceback (most recent call last): 2024-12-18T00:06:37.9953095Z File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 577, in test_returning_symint 2024-12-18T00:06:37.9953255Z ft = fake_tensor_mode.from_tensor(torch.rand(2, 3)) 2024-12-18T00:06:37.9953364Z ^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9953786Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9953952Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9954072Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9954455Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9954570Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9954661Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9955061Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9955183Z return prims._uniform_helper( 2024-12-18T00:06:37.9955273Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9955601Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9955707Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9955798Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9956228Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9956339Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9956448Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9956820Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9956946Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9957040Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9957427Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9957573Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9958150Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9958336Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9958448Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9958843Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9959050Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9959155Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9959678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9959790Z return prims._uniform_helper( 2024-12-18T00:06:37.9959894Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9960211Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9960330Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9960422Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9960836Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9961039Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9961135Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9961585Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9961701Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9961809Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9962197Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9969704Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9970210Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9970393Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9970521Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9970926Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9971050Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9971145Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9971565Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9971685Z return prims._uniform_helper( 2024-12-18T00:06:37.9971779Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9972117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9972226Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9972335Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9972756Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9972883Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9972978Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9973364Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9973489Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9973583Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9973990Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9974125Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9974543Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9974717Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9974828Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9975222Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9975328Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9975438Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9975837Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9975966Z return prims._uniform_helper( 2024-12-18T00:06:37.9976182Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9976504Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9976629Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9976723Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9977157Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9977271Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9977381Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9977757Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9977947Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9978056Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9978448Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9978603Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9979011Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9979201Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9979314Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9979693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9979814Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9979908Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9980328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9980438Z return prims._uniform_helper( 2024-12-18T00:06:37.9980544Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9980863Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9980974Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9981079Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9981497Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9981622Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9981716Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9982105Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9982216Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9982309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9982721Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9982856Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9983276Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9983449Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9983575Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9983955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9984058Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9984165Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9984565Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9984686Z return prims._uniform_helper( 2024-12-18T00:06:37.9984781Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9985109Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9985217Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9985361Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9985790Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9985900Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9986005Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9986378Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9986502Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9986596Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9986986Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9987186Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9987593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9987775Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9987888Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9988283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9988387Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9988479Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9988893Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9989003Z return prims._uniform_helper( 2024-12-18T00:06:37.9989110Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9989426Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9989550Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9989643Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9990060Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9990189Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9990284Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9990675Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9990786Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9990894Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9991284Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9991417Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9991842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9992011Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9992136Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9992519Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9992634Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9992726Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9993128Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9993249Z return prims._uniform_helper( 2024-12-18T00:06:37.9993340Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9993668Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9993774Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9993879Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9994300Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9994415Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9994575Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9994950Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9995073Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9995166Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9995569Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9995702Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:37.9996108Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:37.9996290Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:37.9996449Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9996843Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:37.9996952Z result = fn(*args, **kwargs) 2024-12-18T00:06:37.9997057Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9997456Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:37.9997564Z return prims._uniform_helper( 2024-12-18T00:06:37.9997671Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9997988Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:37.9998112Z return self._op(*args, **kwargs) 2024-12-18T00:06:37.9998204Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9998631Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:37.9998748Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:37.9998842Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9999229Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:37.9999345Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:37.9999453Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:37.9999841Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:37.9999991Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0000397Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0000568Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0000692Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0001074Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0001193Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0001284Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0001811Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0001928Z return prims._uniform_helper( 2024-12-18T00:06:38.0002018Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0002353Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0002461Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0002570Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0002984Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0003111Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0003209Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0003585Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0003709Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0003803Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0004265Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0004397Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0004813Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0004983Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0005092Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0005483Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0005586Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0005740Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0006143Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0006266Z return prims._uniform_helper( 2024-12-18T00:06:38.0006359Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0006674Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0006794Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0006886Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0007317Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0007429Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0007535Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0007909Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0008025Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0008133Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0008522Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0008672Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0009078Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0009263Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0009374Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0009754Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0009871Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0009962Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0010382Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0010491Z return prims._uniform_helper( 2024-12-18T00:06:38.0010599Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0010918Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0011030Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0011136Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0011554Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0011679Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0011775Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0012162Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0012271Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0012367Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0012770Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0012903Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0013321Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0013545Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0013668Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0014050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0014154Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0014258Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0014660Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0014781Z return prims._uniform_helper( 2024-12-18T00:06:38.0014932Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0015264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0015371Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0015467Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0015892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0016005Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0016112Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0016481Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0016604Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0016700Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0017088Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0017237Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0017645Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0017827Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0017941Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0018334Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0018437Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0018525Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0018939Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0019045Z return prims._uniform_helper( 2024-12-18T00:06:38.0019149Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0019466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0019587Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0019677Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0020092Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0020218Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0020310Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0020696Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0020805Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0020911Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0021297Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0021428Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0021844Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0022013Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0022132Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0022560Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0022674Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0022764Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0023164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0023282Z return prims._uniform_helper( 2024-12-18T00:06:38.0023373Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0023699Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0023805Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0023908Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0024368Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0024480Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0024589Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0024961Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0025083Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0025175Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0025581Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0025713Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0026120Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0026304Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0026418Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0026810Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0026916Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0027019Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0027419Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0027526Z return prims._uniform_helper( 2024-12-18T00:06:38.0027628Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0027944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0028061Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0028152Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0028576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0028689Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0028783Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0029165Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0029277Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0029383Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0029773Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0029916Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0030320Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0030489Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0030608Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0030994Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0031109Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0031200Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0031611Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0031771Z return prims._uniform_helper( 2024-12-18T00:06:38.0031864Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0032193Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0032299Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0032404Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0032815Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0032939Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0033034Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0033450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0033571Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0033666Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0034067Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0034197Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0034615Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0034784Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0034892Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0035283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0035385Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0035491Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0035892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0036010Z return prims._uniform_helper( 2024-12-18T00:06:38.0036104Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0036421Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0036540Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0036631Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0037058Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0037168Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0037274Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0037643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0037756Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0037860Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0038244Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0038391Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0038795Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0038976Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0039084Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0039463Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0039577Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0039668Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0040081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0040188Z return prims._uniform_helper( 2024-12-18T00:06:38.0040291Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0040605Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0040762Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0040866Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0041278Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0041497Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0041597Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0041980Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0042089Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0042184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0042642Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0042778Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0043193Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0043366Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0043491Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0043868Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0043972Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0044084Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0044484Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0044607Z return prims._uniform_helper( 2024-12-18T00:06:38.0044703Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0045019Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0045137Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0045234Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0045656Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0045768Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0045874Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0046244Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0046355Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0046462Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0046852Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0047000Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0047403Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0047584Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0047700Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0048079Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0048196Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0048287Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0048695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0048806Z return prims._uniform_helper( 2024-12-18T00:06:38.0048908Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0049227Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0049335Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0049440Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0049854Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0050054Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0050149Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0050535Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0050644Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0050737Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0051140Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0051270Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0051734Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0051905Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0052022Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0052403Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0052506Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0052607Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0053006Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0053123Z return prims._uniform_helper( 2024-12-18T00:06:38.0053211Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0053534Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0053637Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0053726Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0054150Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0054259Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0054367Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0054739Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0054856Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0054950Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0055335Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0055477Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0055880Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0056062Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0056174Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0056561Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0056666Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0056756Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0057164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0057274Z return prims._uniform_helper( 2024-12-18T00:06:38.0057373Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0057688Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0057806Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0057897Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0058480Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0058608Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0058703Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0059088Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0059365Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0059469Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0059857Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0059988Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0060406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0060576Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0060697Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0061265Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0061428Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0061565Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0062296Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0062425Z return prims._uniform_helper( 2024-12-18T00:06:38.0062514Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0062843Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0062949Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0063052Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0063468Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0063578Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0063685Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0064061Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0064182Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0064273Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0064678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0064810Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0065211Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0065395Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0065504Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0065893Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0065993Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0066098Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0066496Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0066601Z return prims._uniform_helper( 2024-12-18T00:06:38.0066705Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0067016Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0067132Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0067219Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0067642Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0067757Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0067850Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0068231Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0068343Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0068447Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0068835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0069043Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0069446Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0069614Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0069734Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0070108Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0070227Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0070317Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0070772Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0070880Z return prims._uniform_helper( 2024-12-18T00:06:38.0070970Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0071298Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0071406Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0071508Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0071918Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0072044Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0072136Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0072507Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0072634Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0072725Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0073126Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0073254Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0073669Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0073841Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0073948Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0074336Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0074437Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0074539Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0074934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0075050Z return prims._uniform_helper( 2024-12-18T00:06:38.0075143Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0075455Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0075576Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0075666Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0076094Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0076203Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0076310Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0076682Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0076792Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0076902Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0077288Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0077433Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0077836Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0078017Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0078175Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0078551Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0078667Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0078758Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0079172Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0079279Z return prims._uniform_helper( 2024-12-18T00:06:38.0079383Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0079742Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0079848Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0079952Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0080361Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0080487Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0080578Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0080961Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0081069Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0081161Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0081653Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0081786Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0082208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0082374Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0082500Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0082884Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0083002Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0083096Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0083495Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0083617Z return prims._uniform_helper( 2024-12-18T00:06:38.0083707Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0084035Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0084139Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0084231Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0084663Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0084773Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0084883Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0085253Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0085379Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0085473Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0085864Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0086012Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0086414Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0086599Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0086714Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0087106Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0087287Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0087378Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0087791Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0087899Z return prims._uniform_helper( 2024-12-18T00:06:38.0088002Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0088315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0088435Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0088525Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0088937Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0089129Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0089223Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0089607Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0089717Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0089822Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0090206Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0090337Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0090753Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0090921Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0091041Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0091421Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0091538Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0091628Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0092027Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0092150Z return prims._uniform_helper( 2024-12-18T00:06:38.0092237Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0092567Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0092671Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0092774Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0093185Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0093292Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0093397Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0093769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0093888Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0093977Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0094377Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0094507Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0094907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0095092Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0095200Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0095589Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0095690Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0095796Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0096196Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0096317Z return prims._uniform_helper( 2024-12-18T00:06:38.0096460Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0096773Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0096893Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0096985Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0097412Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0097520Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0097612Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0097998Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0098151Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0098259Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0098647Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0098792Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0099195Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0099376Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0099485Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0099861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0099976Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0100067Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0100481Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0100588Z return prims._uniform_helper( 2024-12-18T00:06:38.0100678Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0101004Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0101111Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0101213Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0101624Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0101744Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0101837Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0102206Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0102326Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0102418Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0102820Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0102950Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0103363Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0103536Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0103657Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0104038Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0104138Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0104239Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0104632Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0104747Z return prims._uniform_helper( 2024-12-18T00:06:38.0104839Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0105152Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0105269Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0105410Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0105836Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0105942Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0106051Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0106421Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0106530Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0106634Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0107015Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0107206Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0107610Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0107791Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0107903Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0108289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0108391Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0108480Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0108889Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0108992Z return prims._uniform_helper( 2024-12-18T00:06:38.0109098Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0109415Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0109518Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0109622Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0110033Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0110157Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0110246Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0110628Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0110735Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0110827Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0111227Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0111356Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0111777Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0111941Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0112063Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0112444Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0112557Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0112646Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0113042Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0113163Z return prims._uniform_helper( 2024-12-18T00:06:38.0113253Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0113577Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0113682Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0113771Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0114201Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0114309Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0114466Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0114837Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0114960Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0115051Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0115435Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0115582Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0115986Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0116165Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0116745Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0117142Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0117249Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0117354Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0117754Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0117861Z return prims._uniform_helper( 2024-12-18T00:06:38.0117961Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0118273Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0118390Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0118479Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0118889Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0119018Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0119110Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0119493Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0119604Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0119709Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0120097Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0120229Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0120643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0120820Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0120944Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0121329Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0121519Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0121614Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0122029Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0122143Z return prims._uniform_helper( 2024-12-18T00:06:38.0122235Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0122567Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0122675Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0122783Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0123198Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0123323Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0123419Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0123796Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0123921Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0124016Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0124473Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0124607Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0125028Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0125200Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0125312Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0125707Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0125813Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0125970Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0126371Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0126495Z return prims._uniform_helper( 2024-12-18T00:06:38.0126591Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0126908Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0127029Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0127122Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0127548Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0127661Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0127756Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0128142Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0128252Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0128357Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0128740Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0128887Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0129290Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0129471Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0129579Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0129953Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0130065Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0130158Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0130570Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0130676Z return prims._uniform_helper( 2024-12-18T00:06:38.0130781Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0131094Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0131203Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0131304Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0131716Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0131839Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0131931Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0132313Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0132421Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0132513Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0132916Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0133047Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0133460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0133682Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0133802Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0134181Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0134282Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0134388Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0134786Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0134907Z return prims._uniform_helper( 2024-12-18T00:06:38.0135046Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0135376Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0135484Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0135579Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0136005Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0136116Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0136224Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0136597Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0136718Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0136811Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0137196Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0137341Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0137746Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0137927Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0138039Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0138431Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0138535Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0138627Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0139040Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0139148Z return prims._uniform_helper( 2024-12-18T00:06:38.0139252Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0139570Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0139690Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0139782Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0140195Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0140322Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0140414Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0140799Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0140908Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0141000Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0141403Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0141533Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0141952Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0142121Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0142241Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0142671Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0142785Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0142874Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0143271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0143390Z return prims._uniform_helper( 2024-12-18T00:06:38.0143479Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0143805Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0143908Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0144010Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0144470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0144582Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0144690Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0145061Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0145180Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0145272Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0145673Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0145803Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0146209Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0146390Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0146501Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0146890Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0146996Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0147098Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0147494Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0147601Z return prims._uniform_helper( 2024-12-18T00:06:38.0147704Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0148019Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0148136Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0148227Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0148652Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0148765Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0148858Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0149240Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0149351Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0149456Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0149841Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0149982Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0150385Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0150552Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0150673Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0151053Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0151166Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0151255Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0151667Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0151826Z return prims._uniform_helper( 2024-12-18T00:06:38.0151918Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0152245Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0152350Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0152454Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0152868Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0152990Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0153083Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0153517Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0153641Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0153737Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0154144Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0154275Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0154694Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0154865Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0154973Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0155365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0155468Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0155577Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0155975Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0156095Z return prims._uniform_helper( 2024-12-18T00:06:38.0156190Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0156504Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0156620Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0156713Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0157140Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0157249Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0157356Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0157726Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0157838Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0158109Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0158497Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0158650Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0159056Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0159240Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0159354Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0159735Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0159855Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0159947Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0160366Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0160476Z return prims._uniform_helper( 2024-12-18T00:06:38.0160586Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0160903Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0161121Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0161228Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0161718Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0161847Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0161942Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0162327Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0162440Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0162535Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0163007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0163141Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0163560Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0163739Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0163864Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0164245Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0164349Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0164454Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0164854Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0164977Z return prims._uniform_helper( 2024-12-18T00:06:38.0165073Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0165402Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0165509Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0165605Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0166033Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0166145Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0166251Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0166623Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0166745Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0166838Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0167224Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0167369Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0167769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0167948Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0168060Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0168451Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0168556Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0168647Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0169057Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0173221Z return prims._uniform_helper( 2024-12-18T00:06:38.0173332Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0173673Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0173782Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0173887Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0174309Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0174502Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0174597Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0174990Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0175100Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0175194Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0175598Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0175766Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0176242Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0176415Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0176527Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0176922Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0177026Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0177133Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0177535Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0177657Z return prims._uniform_helper( 2024-12-18T00:06:38.0177748Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0178062Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0178188Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0178279Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0178710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0178819Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0178925Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0179298Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0179409Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0179515Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0179904Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0180048Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0180453Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0180639Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0180754Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0181133Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0181251Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0181341Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0181752Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0181860Z return prims._uniform_helper( 2024-12-18T00:06:38.0181964Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0182280Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0182386Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0182558Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0182971Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0183099Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0183194Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0183579Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0183718Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0183814Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0184218Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0184351Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0184771Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0184942Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0185067Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0185494Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0185597Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0185699Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0186098Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0186219Z return prims._uniform_helper( 2024-12-18T00:06:38.0186312Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0186640Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0186746Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0186837Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0187261Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0187375Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0187480Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0187856Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0187977Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0188070Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0188460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0188604Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0189009Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0189192Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0189302Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0189695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0189796Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0189890Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0190302Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0190408Z return prims._uniform_helper( 2024-12-18T00:06:38.0190512Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0190826Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0190942Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0191032Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0191444Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0191565Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0191704Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0192088Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0192203Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0192309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0192694Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0192869Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0193288Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0193458Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0193582Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0193962Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0194078Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0194167Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0194615Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0194736Z return prims._uniform_helper( 2024-12-18T00:06:38.0194826Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0195154Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0195262Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0195365Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0195779Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0195894Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0196004Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0196375Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0196501Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0196598Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0197000Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0197133Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0197539Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0197725Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0197836Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0198224Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0198327Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0198429Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0198830Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0198937Z return prims._uniform_helper( 2024-12-18T00:06:38.0199044Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0199361Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0199480Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0199572Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0200000Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0200109Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0200204Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0200586Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0200706Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0200847Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0201235Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0201472Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0201884Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0202071Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0202217Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0202601Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0202721Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0202814Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0203233Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0203347Z return prims._uniform_helper( 2024-12-18T00:06:38.0203445Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0203831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0203942Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0204048Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0204466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0204595Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0204690Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0205063Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0205188Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0205282Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0205688Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0205824Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0206249Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0206417Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0206541Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0206923Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0207027Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0207129Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0207532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0207656Z return prims._uniform_helper( 2024-12-18T00:06:38.0207750Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0208067Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0208187Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0208278Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0208706Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0208815Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0208925Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0209295Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0209402Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0209507Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0209892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0210034Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0210529Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0210710Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0210822Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0211217Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0211348Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0211438Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0211854Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0211962Z return prims._uniform_helper( 2024-12-18T00:06:38.0212067Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0212381Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0212487Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0212592Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0213050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0213174Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0213270Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0213657Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0213768Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0213863Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0214265Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0214397Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0214812Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0214983Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0215104Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0215487Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0215606Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0215701Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0216103Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0216226Z return prims._uniform_helper( 2024-12-18T00:06:38.0216315Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0216643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0216748Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0216840Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0217266Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0217378Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0217483Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0217857Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0217977Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0218075Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0218464Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0218608Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0219012Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0219193Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0219303Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0219728Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0219829Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0219937Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0220341Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0220451Z return prims._uniform_helper( 2024-12-18T00:06:38.0220582Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0220897Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0221018Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0221109Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0221521Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0221645Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0221741Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0222126Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0222283Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0222389Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0222778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0222912Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0223325Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0223496Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0223617Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0223996Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0224113Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0224201Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0224614Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0224721Z return prims._uniform_helper( 2024-12-18T00:06:38.0224810Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0225138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0225246Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0225349Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0225761Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0225884Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0225977Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0226346Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0226468Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0226562Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0226964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0227096Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0227513Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0227684Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0227793Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0228186Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0228288Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0228392Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0228835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0228955Z return prims._uniform_helper( 2024-12-18T00:06:38.0229048Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0229360Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0229480Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0229597Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0230025Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0230134Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0230227Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0230611Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0230721Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0230828Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0231213Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0231402Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0231808Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0231991Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0232103Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0232483Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0232598Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0232687Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0233096Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0233208Z return prims._uniform_helper( 2024-12-18T00:06:38.0233310Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0233627Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0233733Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0233842Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0234256Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0234381Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0234476Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0234848Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0234972Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0235066Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0235465Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0235599Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0236021Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0236190Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0236312Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0236693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0236795Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0236897Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0237297Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0237416Z return prims._uniform_helper( 2024-12-18T00:06:38.0237505Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0237832Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0237969Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0238061Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0238488Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0238598Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0238733Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0239105Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0239227Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0239321Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0239710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0239857Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0240266Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0240450Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0240612Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0241005Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0241111Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0241204Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0241711Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0241823Z return prims._uniform_helper( 2024-12-18T00:06:38.0241931Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0242248Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0242369Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0242465Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0242881Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0243009Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0243103Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0243490Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0243603Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0243698Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0244100Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0244233Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0244658Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0244831Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0244955Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0245336Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0245453Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0245546Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0245944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0246065Z return prims._uniform_helper( 2024-12-18T00:06:38.0246155Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0246481Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0246585Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0246677Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0247102Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0247249Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0247356Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0247730Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0247860Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0247980Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0248380Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0248515Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0248917Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0249098Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0249213Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0249602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0249703Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0249853Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0250254Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0250364Z return prims._uniform_helper( 2024-12-18T00:06:38.0250470Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0250785Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0250902Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0250993Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0251420Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0251532Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0251626Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0252010Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0252122Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0252228Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0252617Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0252762Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0253167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0253336Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0253457Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0253838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0253956Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0254045Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0254461Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0254571Z return prims._uniform_helper( 2024-12-18T00:06:38.0254665Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0254992Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0255104Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0255206Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0255621Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0255743Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0255838Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0256211Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0256361Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0256454Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0256859Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0256994Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0257413Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0257609Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0257719Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0258260Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0258365Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0258473Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0258877Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0259002Z return prims._uniform_helper( 2024-12-18T00:06:38.0259199Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0259520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0259643Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0259738Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0260165Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0260276Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0260386Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0260758Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0260867Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0260983Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0261371Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0261519Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0261924Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0262107Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0262215Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0262594Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0262706Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0262797Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0263207Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0263317Z return prims._uniform_helper( 2024-12-18T00:06:38.0263420Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0263740Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0263844Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0263946Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0264359Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0264481Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0264574Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0264955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0265065Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0265158Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0265555Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0265729Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0266146Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0266316Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0266439Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0266860Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0266964Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0267071Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0267471Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0267592Z return prims._uniform_helper( 2024-12-18T00:06:38.0267682Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0268007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0268114Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0268254Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0268681Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0268789Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0268896Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0269268Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0269388Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0269482Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0269866Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0270010Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0270419Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0270601Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0270713Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0271104Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0271209Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0271300Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0271710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0271817Z return prims._uniform_helper( 2024-12-18T00:06:38.0271920Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0272235Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0272355Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0272450Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0272869Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0272997Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0273094Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0273481Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0273591Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0273699Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0274089Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0274220Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0274637Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0274841Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0274962Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0275341Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0275455Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0275547Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0275974Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0276093Z return prims._uniform_helper( 2024-12-18T00:06:38.0276184Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0276512Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0276619Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0276722Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0277134Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0277253Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0277359Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0277779Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0277903Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0278000Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0278402Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0278537Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0278945Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0279130Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0279240Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0279633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0279736Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0279843Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0280243Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0280353Z return prims._uniform_helper( 2024-12-18T00:06:38.0280465Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0280780Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0280901Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0280995Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0281488Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0281602Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0281699Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0282092Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0282205Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0282313Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0282703Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0282851Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0283256Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0283427Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0283550Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0283928Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0284081Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0284173Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0284587Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0284693Z return prims._uniform_helper( 2024-12-18T00:06:38.0284786Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0285113Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0285247Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0285354Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0285769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0285892Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0285988Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0286360Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0286481Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0286577Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0287021Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0287153Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0287572Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0287743Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0287851Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0288240Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0288340Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0288442Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0288840Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0288958Z return prims._uniform_helper( 2024-12-18T00:06:38.0289053Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0289367Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0289483Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0289575Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0290001Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0290111Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0290218Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0290587Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0290695Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0290803Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0291189Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0291338Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0291744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0291928Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0292040Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0292418Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0292533Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0292619Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0293031Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0293169Z return prims._uniform_helper( 2024-12-18T00:06:38.0293274Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0293590Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0293696Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0293799Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0294207Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0294357Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0294451Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0294834Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0294944Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0295040Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0295438Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0295573Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0296050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0296221Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0296342Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0296725Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0296826Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0296929Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0297328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0297449Z return prims._uniform_helper( 2024-12-18T00:06:38.0297539Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0297867Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0297976Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0298068Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0298498Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0298609Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0298722Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0299095Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0299219Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0299312Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0299698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0299841Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0300245Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0300426Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0300537Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0300925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0301030Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0301119Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0301528Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0301632Z return prims._uniform_helper( 2024-12-18T00:06:38.0301735Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0302049Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0302166Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0302290Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0302705Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0302826Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0302919Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0303301Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0303440Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0303544Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0303929Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0304059Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0304475Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0304647Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0304765Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0305192Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0305307Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0305398Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0305799Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0305919Z return prims._uniform_helper( 2024-12-18T00:06:38.0306008Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0306333Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0306438Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0306539Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0306952Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0307063Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0307168Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0307541Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0307662Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0307754Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0308153Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0308283Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0308685Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0308867Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0308974Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0309366Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0309466Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0309573Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0309971Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0310081Z return prims._uniform_helper( 2024-12-18T00:06:38.0310184Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0310497Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0310614Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0310704Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0311130Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0311239Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0311360Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0311747Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0311859Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0311966Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0312350Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0312519Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0312925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0313094Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0313213Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0313594Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0313708Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0313797Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0314258Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0314365Z return prims._uniform_helper( 2024-12-18T00:06:38.0314454Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0314783Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0314889Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0322544Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0323063Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0323194Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0323289Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0323672Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0323805Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0323897Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0324302Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0324434Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0324861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0325034Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0325154Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0325538Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0325641Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0325741Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0326148Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0326268Z return prims._uniform_helper( 2024-12-18T00:06:38.0326365Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0326683Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0326801Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0326894Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0327324Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0327435Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0327541Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0327916Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0328027Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0328234Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0328623Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0328774Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0329184Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0329406Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0329517Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0329911Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0330015Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0330106Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0330520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0330631Z return prims._uniform_helper( 2024-12-18T00:06:38.0330736Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0331118Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0331228Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0331332Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0331748Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0331876Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0331970Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0332355Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0332467Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0332562Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0332966Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0333101Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0333524Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0333696Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0333820Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0334201Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0334316Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0334408Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0334808Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0334928Z return prims._uniform_helper( 2024-12-18T00:06:38.0335020Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0335346Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0335451Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0335546Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0335974Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0336083Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0336192Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0336565Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0336684Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0336775Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0337164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0337306Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0337763Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0337945Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0338059Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0338450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0338596Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0338701Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0339102Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0339211Z return prims._uniform_helper( 2024-12-18T00:06:38.0339315Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0339632Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0339752Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0339845Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0340315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0340440Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0340534Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0340919Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0341031Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0341135Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0341524Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0341658Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0342078Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0342249Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0342370Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0342754Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0342869Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0342959Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0343370Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0343476Z return prims._uniform_helper( 2024-12-18T00:06:38.0343565Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0343897Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0344003Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0344108Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0344523Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0344649Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0344741Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0345117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0345238Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0345333Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0345729Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0345859Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0346279Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0346448Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0346558Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0346977Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0347079Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0347186Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0347589Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0347737Z return prims._uniform_helper( 2024-12-18T00:06:38.0347828Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0348145Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0348263Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0348358Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0348784Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0348892Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0348990Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0349373Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0349530Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0349636Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0350026Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0350171Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0350575Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0350756Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0350865Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0351243Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0351363Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0351454Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0351872Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0351981Z return prims._uniform_helper( 2024-12-18T00:06:38.0352086Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0352400Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0352509Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0352611Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0353027Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0353148Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0353240Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0353612Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0353736Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0353830Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0354234Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0354365Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0354782Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0354951Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0355074Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0355451Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0355552Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0355656Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0356083Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0356204Z return prims._uniform_helper( 2024-12-18T00:06:38.0356297Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0356626Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0356731Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0356848Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0357279Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0357390Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0357492Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0357862Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0358144Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0358241Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0358635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0358942Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0359352Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0359540Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0359651Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0360046Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0360150Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0360241Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0360657Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0360771Z return prims._uniform_helper( 2024-12-18T00:06:38.0360873Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0361308Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0361519Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0361642Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0362275Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0362453Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0362593Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0363289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0363490Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0363633Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0364073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0364213Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0364641Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0364810Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0364933Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0365315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0365430Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0365521Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0365924Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0366047Z return prims._uniform_helper( 2024-12-18T00:06:38.0366138Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0366464Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0366661Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0366757Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0367187Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0367297Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0367444Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0367818Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0367941Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0368036Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0368440Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0368571Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0368981Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0369217Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0369329Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0369722Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0369829Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0369933Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0370331Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0370441Z return prims._uniform_helper( 2024-12-18T00:06:38.0370547Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0370865Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0370982Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0371076Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0371507Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0371618Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0371713Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0372097Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0372206Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0372300Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0372695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0372839Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0373240Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0373422Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0373531Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0373925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0374025Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0374115Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0374526Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0374630Z return prims._uniform_helper( 2024-12-18T00:06:38.0374734Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0375052Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0375168Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0375256Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0375666Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0375828Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0375922Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0376306Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0376413Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0376546Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0376930Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0377062Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0377485Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0377653Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0377774Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0378151Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0378265Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0378406Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0378806Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0378930Z return prims._uniform_helper( 2024-12-18T00:06:38.0379020Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0379345Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0379452Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0379558Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0379970Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0380082Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0380190Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0380561Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0380682Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0380771Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0381172Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0381303Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0381710Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0381890Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0381997Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0382386Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0382487Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0382586Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0382984Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0383090Z return prims._uniform_helper( 2024-12-18T00:06:38.0383192Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0383506Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0383625Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0383715Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0384142Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0384248Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0384340Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0384723Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0384858Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0384964Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0385352Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0385496Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0385926Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0386094Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0386214Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0386591Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0386705Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0386794Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0387209Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0387313Z return prims._uniform_helper( 2024-12-18T00:06:38.0387452Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0387778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0387882Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0387986Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0388401Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0388522Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0388612Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0388981Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0389099Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0389191Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0389590Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0389723Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0390138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0390307Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0390415Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0390804Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0390908Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0391007Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0391404Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0391522Z return prims._uniform_helper( 2024-12-18T00:06:38.0391612Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0391931Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0392046Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0392137Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0392562Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0392673Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0392779Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0393151Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0393258Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0393364Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0393751Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0393922Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0394328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0394509Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0394617Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0395024Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0395137Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0395224Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0395635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0395738Z return prims._uniform_helper( 2024-12-18T00:06:38.0395841Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0396153Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0396258Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0396409Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0396827Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0396949Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0397040Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0397425Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0397538Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0397630Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0398023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0398153Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0398566Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0398737Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0398843Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0399232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0399335Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0399432Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0399830Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0399944Z return prims._uniform_helper( 2024-12-18T00:06:38.0400035Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0400347Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0400463Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0400555Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0400980Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0401091Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0401191Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0401645Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0401755Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0401856Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0402242Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0402380Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0402781Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0402991Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0403100Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0403474Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0403587Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0403678Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0404117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0404222Z return prims._uniform_helper( 2024-12-18T00:06:38.0404318Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0404631Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0404730Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0404827Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0405239Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0405354Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0405509Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0405890Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0405997Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0406089Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0406483Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0406611Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0407020Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0407189Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0407306Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0407688Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0407786Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0407885Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0408281Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0408397Z return prims._uniform_helper( 2024-12-18T00:06:38.0408485Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0408803Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0408910Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0408998Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0409423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0409530Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0409635Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0410006Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0410126Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0410222Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0410605Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0410746Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0411149Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0411323Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0411430Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0411816Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0411948Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0412034Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0412446Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0412551Z return prims._uniform_helper( 2024-12-18T00:06:38.0412651Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0412964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0413102Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0413194Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0413603Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0413718Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0413810Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0414187Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0414298Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0414395Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0414828Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0414955Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0415369Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0415535Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0415653Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0416031Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0416140Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0416229Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0416626Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0416746Z return prims._uniform_helper( 2024-12-18T00:06:38.0416839Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0417164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0417270Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0417370Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0417787Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0417894Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0417996Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0418366Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0418480Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0418575Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0418969Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0419102Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0419502Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0419682Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0419789Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0420174Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0420274Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0420372Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0420768Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0420896Z return prims._uniform_helper( 2024-12-18T00:06:38.0420996Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0421312Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0421425Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0421515Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0421934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0422070Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0422160Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0422539Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0422646Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0422747Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0423134Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0423272Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0423723Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0423889Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0424009Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0424388Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0424497Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0424590Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0424992Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0425097Z return prims._uniform_helper( 2024-12-18T00:06:38.0425183Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0425507Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0425612Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0425715Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0426128Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0426243Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0426337Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0426705Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0426826Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0426917Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0427315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0427445Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0427855Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0428025Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0428129Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0428520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0428622Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0428721Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0429117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0429233Z return prims._uniform_helper( 2024-12-18T00:06:38.0429323Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0429630Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0429743Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0429858Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0430283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0430393Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0430492Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0430864Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0430993Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0431095Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0431481Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0431617Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0432020Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0432202Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0432310Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0432734Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0432846Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0432933Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0433340Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0433447Z return prims._uniform_helper( 2024-12-18T00:06:38.0433544Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0433861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0433959Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0434059Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0434473Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0434590Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0434687Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0435070Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0435178Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0435269Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0435674Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0435804Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0436222Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0436390Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0436507Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0436887Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0436990Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0437093Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0437488Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0437605Z return prims._uniform_helper( 2024-12-18T00:06:38.0437696Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0438018Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0438121Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0438209Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0438633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0438741Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0438869Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0439241Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0439355Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0439447Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0439830Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0439997Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0440401Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0440580Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0440691Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0441078Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0441181Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0441269Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0441826Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0441936Z return prims._uniform_helper( 2024-12-18T00:06:38.0442035Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0442350Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0442468Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0442557Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0442965Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0443088Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0443183Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0443561Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0443670Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0443769Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0444160Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0444289Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0444704Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0444869Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0444986Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0445363Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0445468Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0445558Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0445952Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0446070Z return prims._uniform_helper( 2024-12-18T00:06:38.0446162Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0446486Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0446592Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0446692Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0447109Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0447215Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0447318Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0447688Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0447807Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0447927Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0448324Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0448459Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0448859Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0449065Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0449172Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0449559Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0449661Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0449759Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0450159Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0450263Z return prims._uniform_helper( 2024-12-18T00:06:38.0450363Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0450724Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0450842Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0450933Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0451351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0451462Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0451550Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0451929Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0452037Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0452136Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0452521Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0452660Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0453068Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0453230Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0453351Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0453723Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0453833Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0453924Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0454331Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0454436Z return prims._uniform_helper( 2024-12-18T00:06:38.0454522Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0454842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0454947Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0455050Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0455464Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0455581Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0455674Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0456044Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0456162Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0456254Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0456646Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0456776Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0457212Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0457383Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0457488Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0457877Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0458193Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0458297Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0458700Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0458818Z return prims._uniform_helper( 2024-12-18T00:06:38.0458908Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0459220Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0459340Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0459433Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0459947Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0460061Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0460164Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0460539Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0460648Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0460754Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0461138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0461278Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0461681Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0461861Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0461970Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0462346Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0462459Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0462547Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0462955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0463061Z return prims._uniform_helper( 2024-12-18T00:06:38.0463157Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0463470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0463569Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0463669Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0464083Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0464205Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0464301Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0464677Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0464784Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0464874Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0465270Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0465400Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0465817Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0465986Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0466104Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0466522Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0466622Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0466723Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0467118Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0467268Z return prims._uniform_helper( 2024-12-18T00:06:38.0467358Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0467679Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0467783Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0467869Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0468294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0468404Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0468509Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0468929Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0469047Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0469141Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0469522Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0469664Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0470066Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0470243Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0470352Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0470737Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0470841Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0470928Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0471339Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0471444Z return prims._uniform_helper( 2024-12-18T00:06:38.0471542Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0471857Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0471972Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0472060Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0472466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0472588Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0472683Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0473065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0473177Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0473284Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0473673Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0473804Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0474225Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0474394Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0474516Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0474898Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0475012Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0475103Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0475529Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0475653Z return prims._uniform_helper( 2024-12-18T00:06:38.0475748Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0476075Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0476183Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0476325Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0476741Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0476852Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0476962Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0477332Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0477452Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0477548Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0477947Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0478128Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0478536Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0478720Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0478830Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0479228Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0479331Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0479434Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0479833Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0479943Z return prims._uniform_helper( 2024-12-18T00:06:38.0480043Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0480363Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0480476Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0480566Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0480987Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0481097Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0481189Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0481646Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0481757Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0481863Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0482250Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0482395Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0482802Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0482971Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0483092Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0483470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0483584Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0483673Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0484081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0484188Z return prims._uniform_helper( 2024-12-18T00:06:38.0484276Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0484605Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0484756Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0484860Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0485275Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0485398Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0485522Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0485893Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0486011Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0486104Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0486499Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0486631Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0487054Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0487276Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0487382Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0487772Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0487877Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0487977Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0488379Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0488499Z return prims._uniform_helper( 2024-12-18T00:06:38.0488589Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0488901Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0489017Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0489108Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0489535Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0489645Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0489749Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0490117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0490227Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0490330Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0490716Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0490857Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0491262Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0491442Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0491550Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0491929Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0492045Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0492136Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0492547Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0492654Z return prims._uniform_helper( 2024-12-18T00:06:38.0492755Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0493069Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0493172Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0493275Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0493686Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0493836Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0493932Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0494313Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0494423Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0494542Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0494940Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0495069Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0495480Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0495649Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0495769Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0496149Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0496309Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0496400Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0496797Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0496917Z return prims._uniform_helper( 2024-12-18T00:06:38.0497007Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0497330Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0497433Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0497521Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0497943Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0498053Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0498159Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0498534Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0498653Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0498746Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0499127Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0499275Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0499677Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0499856Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0499965Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0500352Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0500455Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0500543Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0500957Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0501064Z return prims._uniform_helper( 2024-12-18T00:06:38.0501165Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0501480Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0501598Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0501688Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0502097Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0502218Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0502309Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0502690Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0502830Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0502934Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0503325Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0503455Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0503899Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0504066Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0504184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0504564Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0504677Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0504768Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0505167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0505287Z return prims._uniform_helper( 2024-12-18T00:06:38.0505486Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0505817Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0505924Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0506029Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0506445Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0506554Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0506660Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0507036Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0507156Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0507252Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0507649Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0507782Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0508184Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0508366Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0508475Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0508862Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0508963Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0509068Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0509470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0509588Z return prims._uniform_helper( 2024-12-18T00:06:38.0509679Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0509997Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0510110Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0510201Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0510631Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0510742Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0510835Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0511223Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0511332Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0511441Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0511831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0512024Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0512433Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0512613Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0512723Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0513127Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0513242Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0513333Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0513745Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0513855Z return prims._uniform_helper( 2024-12-18T00:06:38.0513945Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0514277Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0514382Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0514534Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0514951Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0515073Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0515173Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0515545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0515669Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0515766Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0516170Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0516302Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0516722Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0516893Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0517010Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0517387Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0517490Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0517593Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0517991Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0518109Z return prims._uniform_helper( 2024-12-18T00:06:38.0518200Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0518513Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0518633Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0518728Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0519152Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0519261Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0519371Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0519742Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0519851Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0519957Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0520339Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0520481Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0520879Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0521088Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0521195Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0521670Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0521772Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0521869Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0522312Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0522418Z return prims._uniform_helper( 2024-12-18T00:06:38.0522523Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0522838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0522944Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0523046Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0523459Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0523581Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0523723Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0524107Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0524223Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0524314Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0524712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0524846Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0525264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0525433Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0525553Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0525937Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0526052Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0526142Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0526542Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0526663Z return prims._uniform_helper( 2024-12-18T00:06:38.0526752Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0527075Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0527182Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0527272Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0527695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0527805Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0527910Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0528283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0528402Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0528495Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0528881Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0529025Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0529429Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0529610Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0529719Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0530106Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0530236Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0530338Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0530739Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0530848Z return prims._uniform_helper( 2024-12-18T00:06:38.0530950Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0531265Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0531408Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0531499Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0531911Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0532031Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0532124Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0532504Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0532615Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0532716Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0533152Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0533285Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0533701Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0533868Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0533986Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0534365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0534476Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0534567Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0534980Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0535086Z return prims._uniform_helper( 2024-12-18T00:06:38.0535178Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0535501Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0535606Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0535708Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0536123Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0536244Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0536336Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0536709Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0536827Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0536921Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0537314Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0537450Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0537861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0538031Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0538139Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0538528Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0538629Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0538728Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0539127Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0539275Z return prims._uniform_helper( 2024-12-18T00:06:38.0539364Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0539684Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0539799Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0539890Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0540313Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0540450Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0540541Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0540924Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0541032Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0541137Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0541523Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0541668Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0542132Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0542313Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0542422Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0542805Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0542918Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0543009Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0543417Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0543527Z return prims._uniform_helper( 2024-12-18T00:06:38.0543630Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0543947Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0544053Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0544159Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0544577Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0544704Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0544801Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0545171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0545292Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0545384Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0545782Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0545913Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0546329Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0546503Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0546622Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0547002Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0547107Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0547206Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0547605Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0547723Z return prims._uniform_helper( 2024-12-18T00:06:38.0547813Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0548138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0548247Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0548368Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0548797Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0548909Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0549017Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0549394Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0549545Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0549640Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0550029Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0550176Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0550581Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0550765Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0550874Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0551322Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0551428Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0551521Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0551938Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0552047Z return prims._uniform_helper( 2024-12-18T00:06:38.0552153Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0552469Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0552592Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0552685Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0553100Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0553228Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0553327Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0553713Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0553824Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0553920Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0554325Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0554455Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0554872Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0555041Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0555162Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0555545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0555663Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0555752Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0556152Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0556273Z return prims._uniform_helper( 2024-12-18T00:06:38.0556363Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0556694Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0556799Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0556903Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0557315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0557425Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0557560Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0558130Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0558258Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0558350Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0558751Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0558944Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0559348Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0559531Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0559641Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0560033Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0560137Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0560244Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0560704Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0560814Z return prims._uniform_helper( 2024-12-18T00:06:38.0560916Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0561232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0561350Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0561512Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0561943Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0562053Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0562146Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0562527Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 286, in _prim_impl 2024-12-18T00:06:38.0562627Z meta(*args, **kwargs) 2024-12-18T00:06:38.0563030Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2741, in _uniform_meta 2024-12-18T00:06:38.0563185Z strides = utils.make_contiguous_strides_for(shape) 2024-12-18T00:06:38.0563307Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0563463Z RecursionError: maximum recursion depth exceeded 2024-12-18T00:06:38.0563473Z 2024-12-18T00:06:38.0563666Z To execute this test, run the following from the base repo dir: 2024-12-18T00:06:38.0563962Z python test/test_python_dispatch.py TestPythonRegistration.test_returning_symint 2024-12-18T00:06:38.0563969Z 2024-12-18T00:06:38.0564208Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-12-18T00:06:38.0564357Z =================================== FAILURES =================================== 2024-12-18T00:06:38.0564601Z _________________ TestPythonRegistration.test_returning_symint _________________ 2024-12-18T00:06:38.0564729Z Traceback (most recent call last): 2024-12-18T00:06:38.0565092Z File "/var/lib/jenkins/workspace/test/test_python_dispatch.py", line 577, in test_returning_symint 2024-12-18T00:06:38.0565242Z ft = fake_tensor_mode.from_tensor(torch.rand(2, 3)) 2024-12-18T00:06:38.0565360Z ^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0565775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0565957Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0566066Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0566462Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0566565Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0566656Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0567112Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0567226Z return prims._uniform_helper( 2024-12-18T00:06:38.0567327Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0567646Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0567792Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0567885Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0568301Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0568424Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0568520Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0568907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0569017Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0569129Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0569569Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0569704Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0570125Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0570297Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0570417Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0570792Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0570908Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0570997Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0571397Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0571518Z return prims._uniform_helper( 2024-12-18T00:06:38.0571608Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0571944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0572051Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0572158Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0572573Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0572687Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0572792Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0573164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0573284Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0573377Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0573772Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0573905Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0574314Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0574493Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0574602Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0574997Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0575098Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0575199Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0575597Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0575705Z return prims._uniform_helper( 2024-12-18T00:06:38.0575809Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0576153Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0576269Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0576363Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0576788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0576898Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0577017Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0577398Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0577506Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0577611Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0577996Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0578137Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0578546Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0578779Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0578900Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0579280Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0579398Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0579488Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0579900Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0580008Z return prims._uniform_helper( 2024-12-18T00:06:38.0580098Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0580424Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0580532Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0580633Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0581049Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0581172Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0581265Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0581636Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0581763Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0581855Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0582257Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0582391Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0582808Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0582979Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0583087Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0583482Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0583585Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0583688Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0584089Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0584206Z return prims._uniform_helper( 2024-12-18T00:06:38.0584297Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0584612Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0584729Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0584819Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0585247Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0585387Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0585498Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0585870Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0585981Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0586115Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0586505Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0586651Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0587053Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0587234Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0587345Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0587738Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0587891Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0587984Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0588398Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0588510Z return prims._uniform_helper( 2024-12-18T00:06:38.0588615Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0588933Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0589041Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0589146Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0589565Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0589692Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0589792Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0590185Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0590296Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0590391Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0590795Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0590931Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0591351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0591522Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0591647Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0592028Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0592145Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0592238Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0592642Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0592761Z return prims._uniform_helper( 2024-12-18T00:06:38.0592857Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0593186Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0593291Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0593384Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0593812Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0593923Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0594027Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0594399Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0594551Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0594648Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0595037Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0595178Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0595609Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0595788Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0595897Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0596286Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0596388Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0596479Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0596891Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0597045Z return prims._uniform_helper( 2024-12-18T00:06:38.0597146Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0597460Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0597579Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0597669Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0598080Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0598200Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0598293Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0598673Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0598780Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0598887Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0599279Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0599411Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0599831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0600000Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0600121Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0600504Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0600619Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0600709Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0601123Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0601234Z return prims._uniform_helper( 2024-12-18T00:06:38.0601323Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0601724Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0601832Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0601935Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0602348Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0602460Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0602571Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0602942Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0603063Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0603156Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0603552Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0603722Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0604131Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0604311Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0604420Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0604842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0604944Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0605048Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0605446Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0605565Z return prims._uniform_helper( 2024-12-18T00:06:38.0605655Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0605973Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0606093Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0606239Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0606668Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0606779Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0606875Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0607261Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0607370Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0607476Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0607861Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0608006Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0608416Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0608602Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0608718Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0609095Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0609208Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0609298Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0609706Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0609815Z return prims._uniform_helper( 2024-12-18T00:06:38.0609905Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0610231Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0610339Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0610441Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0610859Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0610981Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0611073Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0611443Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0611565Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0611659Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0612056Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0612193Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0612609Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0612805Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0612927Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0613308Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0613411Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0613511Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0613953Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0614073Z return prims._uniform_helper( 2024-12-18T00:06:38.0614164Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0614478Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0614593Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0614683Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0615111Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0615222Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0615375Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0615748Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0615857Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0615965Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0616351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0616491Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0616895Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0617073Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0617182Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0617572Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0617677Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0617768Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0618179Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0618288Z return prims._uniform_helper( 2024-12-18T00:06:38.0618391Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0618705Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0618823Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0618914Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0619326Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0619450Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0619546Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0619938Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0620047Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0620143Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0620545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0620679Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0621093Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0621264Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0621387Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0621764Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0621909Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0622000Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0622405Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0622524Z return prims._uniform_helper( 2024-12-18T00:06:38.0622614Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0622966Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0623072Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0623166Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0623590Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0623701Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0623804Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0624175Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0624300Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0624444Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0624832Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0624974Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0625380Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0625565Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0625675Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0626065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0626168Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0626271Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0626676Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0626787Z return prims._uniform_helper( 2024-12-18T00:06:38.0626894Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0627209Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0627332Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0627425Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0627841Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0627965Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0628061Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0628450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0628561Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0628670Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0629062Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0629208Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0629615Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0629790Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0629914Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0630294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0630408Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0630500Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0630910Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0631063Z return prims._uniform_helper( 2024-12-18T00:06:38.0631156Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0631489Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0631597Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0631702Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0632117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0632264Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0632356Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0632729Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0632850Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0632942Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0633341Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0633473Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0633938Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0634107Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0634217Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0634607Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0634707Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0634808Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0635205Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0635322Z return prims._uniform_helper( 2024-12-18T00:06:38.0635411Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0635726Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0635841Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0635934Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0636356Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0636467Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0636563Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0636944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0637053Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0637158Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0637549Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0637689Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0638094Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0638279Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0638391Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0638771Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0638885Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0638980Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0639387Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0639493Z return prims._uniform_helper( 2024-12-18T00:06:38.0639594Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0639906Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0640046Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0640147Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0640566Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0640683Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0640776Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0641160Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0641295Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0641467Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0641870Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0642002Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0642416Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0642586Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0642706Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0643144Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0643248Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0643349Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0643750Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0643868Z return prims._uniform_helper( 2024-12-18T00:06:38.0643959Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0644283Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0644389Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0644480Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0644908Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0645022Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0645133Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0645506Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0645631Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0645726Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0646113Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0646256Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0646659Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0646837Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0646946Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0647337Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0647443Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0647533Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0647939Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0648048Z return prims._uniform_helper( 2024-12-18T00:06:38.0648150Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0648465Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0648580Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0648672Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0649085Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0649246Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0649340Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0649723Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0649832Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0649935Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0650325Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0650543Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0650960Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0651128Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0651251Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0651632Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0651748Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0651838Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0652285Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0652408Z return prims._uniform_helper( 2024-12-18T00:06:38.0652500Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0652828Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0652933Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0653035Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0653448Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0653558Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0653661Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0654033Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0654155Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0654251Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0654650Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0654779Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0655184Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0655366Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0655479Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0655868Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0655969Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0656072Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0656475Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0656586Z return prims._uniform_helper( 2024-12-18T00:06:38.0656688Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0657007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0657124Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0657215Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0657642Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0657752Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0657845Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0658420Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0658535Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0658709Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0659101Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0659247Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0659651Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0659863Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0659982Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0660358Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0660472Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0660562Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0660970Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0661080Z return prims._uniform_helper( 2024-12-18T00:06:38.0661172Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0661560Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0661671Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0661772Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0662188Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0662313Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0662410Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0662783Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0670201Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0670359Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0670790Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0670945Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0671365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0671555Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0671667Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0672066Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0672171Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0672262Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0672676Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0672785Z return prims._uniform_helper( 2024-12-18T00:06:38.0672886Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0673207Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0673324Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0673419Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0673838Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0673965Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0674060Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0674446Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0674556Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0674661Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0675050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0675184Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0675696Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0675872Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0675993Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0676372Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0676526Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0676619Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0677021Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0677142Z return prims._uniform_helper( 2024-12-18T00:06:38.0677234Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0677564Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0677675Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0677780Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0678251Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0678367Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0678475Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0678849Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0678974Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0679069Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0679467Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0679601Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0680007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0680196Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0680312Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0680711Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0680814Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0680914Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0681318Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0681543Z return prims._uniform_helper( 2024-12-18T00:06:38.0681650Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0681968Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0682087Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0682178Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0682610Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0682724Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0682824Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0683209Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0683320Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0683432Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0683816Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0683961Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0684365Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0684534Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0684657Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0685069Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0685186Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0685278Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0685695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0685834Z return prims._uniform_helper( 2024-12-18T00:06:38.0685926Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0686258Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0686366Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0686470Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0686883Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0687012Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0687107Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0687541Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0687666Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0687762Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0688160Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0688294Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0688714Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0688887Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0688998Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0689395Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0689501Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0689609Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0690014Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0690137Z return prims._uniform_helper( 2024-12-18T00:06:38.0690229Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0690543Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0690661Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0690752Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0691174Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0691284Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0691389Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0691758Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0691868Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0691977Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0692363Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0692505Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0692911Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0693090Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0693198Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0693577Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0693690Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0693781Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0694218Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0694330Z return prims._uniform_helper( 2024-12-18T00:06:38.0694436Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0694751Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0694884Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0694985Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0695402Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0695527Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0695622Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0696007Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0696117Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0696217Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0696712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0696846Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0697265Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0697437Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0697560Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0697939Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0698041Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0698146Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0698547Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0698669Z return prims._uniform_helper( 2024-12-18T00:06:38.0698762Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0699094Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0699202Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0699294Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0699716Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0699829Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0699932Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0700303Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0700423Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0700518Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0700907Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0701054Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0701466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0701649Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0701759Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0702155Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0702258Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0702351Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0702763Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0702875Z return prims._uniform_helper( 2024-12-18T00:06:38.0702978Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0703327Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0703453Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0703549Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0703965Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0706530Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0706649Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0707049Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0707160Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0707255Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0707660Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0707793Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0708219Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0708430Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0708557Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0708959Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0709080Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0709173Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0709590Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0709700Z return prims._uniform_helper( 2024-12-18T00:06:38.0709806Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0710122Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0710231Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0710336Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0710755Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0710883Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0710978Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0711354Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0711479Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0711572Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0711974Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0712105Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0712527Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0712699Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0712820Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0713202Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0713304Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0713405Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0713808Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0713926Z return prims._uniform_helper( 2024-12-18T00:06:38.0714017Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0714346Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0714452Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0714544Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0715005Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0715115Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0715225Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0715597Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0715719Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0715900Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0716292Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0716438Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0716842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0717024Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0717132Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0717527Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0717657Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0717750Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0718163Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0718276Z return prims._uniform_helper( 2024-12-18T00:06:38.0718381Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0718695Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0718819Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0718911Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0719325Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0719452Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0719549Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0719934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0720044Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0720141Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0720545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0720680Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0721095Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0721268Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0721460Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0721856Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0721961Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0722066Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0722466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0722587Z return prims._uniform_helper( 2024-12-18T00:06:38.0722677Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0722996Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0723114Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0723205Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0723630Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0723740Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0723844Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0724215Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0724355Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0724460Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0724847Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0724990Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0725472Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0725658Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0725766Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0726158Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0726259Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0726349Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0726768Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0726901Z return prims._uniform_helper( 2024-12-18T00:06:38.0727006Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0727323Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0727435Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0727540Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0727955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0728085Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0728180Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0728561Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0728671Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0728767Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0729171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0729306Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0729724Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0729898Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0730018Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0730396Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0730509Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0730599Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0730998Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0731118Z return prims._uniform_helper( 2024-12-18T00:06:38.0731208Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0731533Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0731638Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0731729Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0732156Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0732268Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0732374Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0732746Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0732865Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0732960Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0733347Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0733518Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0733925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0734103Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0734241Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0734660Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0734762Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0734852Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0735264Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0735372Z return prims._uniform_helper( 2024-12-18T00:06:38.0735473Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0735794Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0735909Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0736024Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0736439Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0736565Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0736657Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0737037Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0737145Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0737250Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0737636Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0737767Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0738184Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0738355Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0738473Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0738853Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0738968Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0739058Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0739470Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0739577Z return prims._uniform_helper( 2024-12-18T00:06:38.0739667Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0739995Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0740101Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0740202Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0740617Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0740727Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0740832Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0741205Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0741325Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0741419Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0741815Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0741945Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0742362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0742558Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0742666Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0743061Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0743162Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0743261Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0743712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0743829Z return prims._uniform_helper( 2024-12-18T00:06:38.0743919Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0744234Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0744350Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0744439Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0744863Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0744971Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0745090Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0745474Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0745584Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0745691Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0746078Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0746210Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0746635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0746805Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0746923Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0747305Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0747423Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0747514Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0747920Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0748031Z return prims._uniform_helper( 2024-12-18T00:06:38.0748121Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0748450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0748557Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0748659Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0749075Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0749183Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0749287Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0749664Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0749784Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0749880Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0750280Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0750415Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0750828Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0751000Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0751110Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0751494Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0751624Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0751725Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0752126Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0752244Z return prims._uniform_helper( 2024-12-18T00:06:38.0752333Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0752698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0752814Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0752904Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0753326Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0753436Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0753528Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0753912Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0754025Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0754152Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0754539Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0754683Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0755091Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0755268Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0755381Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0755756Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0755867Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0755956Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0756362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0756469Z return prims._uniform_helper( 2024-12-18T00:06:38.0756559Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0756886Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0756993Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0757094Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0757505Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0757622Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0757715Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0758271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0758398Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0758493Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0758892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0759025Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0759439Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0759613Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0759733Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0760110Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0760210Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0760312Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0760712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0760894Z return prims._uniform_helper( 2024-12-18T00:06:38.0760985Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0761310Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0761482Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0761571Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0762105Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0762218Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0762319Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0762692Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0762799Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0762900Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0763289Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0763431Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0763872Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0764053Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0764164Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0764557Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0764659Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0764746Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0765159Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0765265Z return prims._uniform_helper( 2024-12-18T00:06:38.0765362Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0765679Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0765793Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0765886Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0766299Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0766430Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0766526Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0766908Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0767018Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0767109Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0767508Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0767635Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0768052Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0768223Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0768342Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0768724Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0768835Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0768924Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0769321Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0769436Z return prims._uniform_helper( 2024-12-18T00:06:38.0769526Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0769850Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0769982Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0770070Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0770494Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0770600Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0770703Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0771104Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0771259Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0771352Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0771736Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0771877Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0772278Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0772458Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0772567Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0772986Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0773089Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0773189Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0773593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0773700Z return prims._uniform_helper( 2024-12-18T00:06:38.0773800Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0774117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0774232Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0774322Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0774744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0774854Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0774945Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0775324Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0775433Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0775539Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0775923Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0776064Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0776464Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0776630Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0776755Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0777131Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0777245Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0777334Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0777744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0777854Z return prims._uniform_helper( 2024-12-18T00:06:38.0777940Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0778266Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0778369Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0778467Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0778880Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0779025Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0779118Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0779492Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0779614Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0779705Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0780127Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0780285Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0780698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0780867Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0780974Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0781362Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0781465Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0781560Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0781983Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0782096Z return prims._uniform_helper( 2024-12-18T00:06:38.0782187Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0782505Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0782620Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0782710Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0783133Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0783243Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0783346Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0783719Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0783825Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0783931Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0784319Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0784460Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0784865Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0785045Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0785155Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0785532Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0785649Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0785739Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0786154Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0786265Z return prims._uniform_helper( 2024-12-18T00:06:38.0786367Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0786684Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0786792Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0786895Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0787314Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0787436Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0787530Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0787910Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0788021Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0788161Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0788562Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0788694Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0789106Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0789334Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0789455Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0789835Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0789933Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0790035Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0790435Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0790560Z return prims._uniform_helper( 2024-12-18T00:06:38.0790652Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0791009Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0791116Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0791202Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0791634Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0791743Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0791846Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0792214Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0792333Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0792425Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0792805Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0792947Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0793350Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0793531Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0793641Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0794032Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0794135Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0794222Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0794635Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0794740Z return prims._uniform_helper( 2024-12-18T00:06:38.0794841Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0795157Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0795271Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0795368Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0795778Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0795903Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0795996Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0796376Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0796485Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0796591Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0796977Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0797105Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0797562Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0797732Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0797851Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0798256Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0798393Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0798483Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0798877Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0798994Z return prims._uniform_helper( 2024-12-18T00:06:38.0799083Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0799415Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0799522Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0799620Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0800057Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0800168Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0800272Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0800643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0800765Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0800857Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0801250Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0801460Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0801866Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0802049Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0802158Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0802548Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0802651Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0802754Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0803157Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0803265Z return prims._uniform_helper( 2024-12-18T00:06:38.0803369Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0803684Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0803800Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0803890Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0804315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0804426Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0804516Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0804898Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0805006Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0805112Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0805499Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0805637Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0806039Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0806203Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0806425Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0806803Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0806918Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0807008Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0807418Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0807581Z return prims._uniform_helper( 2024-12-18T00:06:38.0807674Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0808002Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0808107Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0808209Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0808620Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0808742Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0808834Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0809232Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0809352Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0809443Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0809839Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0809971Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0810381Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0810550Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0810655Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0811043Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0811145Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0811242Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0811644Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0811759Z return prims._uniform_helper( 2024-12-18T00:06:38.0811848Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0812164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0812278Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0812366Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0812789Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0812898Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0812998Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0813372Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0813477Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0813582Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0813964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0814106Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0814514Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0814689Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0814796Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0815171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0815285Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0815401Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0815812Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0815920Z return prims._uniform_helper( 2024-12-18T00:06:38.0816023Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0816340Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0816495Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0816596Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0817013Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0817132Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0817227Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0817611Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0817721Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0817811Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0818234Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0818367Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0818783Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0818955Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0819075Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0819451Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0819550Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0819651Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0820048Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0820162Z return prims._uniform_helper( 2024-12-18T00:06:38.0820252Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0820576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0820681Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0820770Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0821193Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0821303Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0821404Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0821775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0821898Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0821992Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0822379Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0822528Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0822936Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0823118Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0823232Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0823627Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0823730Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0823822Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0824235Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0824344Z return prims._uniform_helper( 2024-12-18T00:06:38.0824449Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0824794Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0824912Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0825006Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0825420Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0825594Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0825691Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0826081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0826192Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0826302Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0826693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0826825Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0827247Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0827456Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0827583Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0827964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0828082Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0828171Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0828571Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0828687Z return prims._uniform_helper( 2024-12-18T00:06:38.0828778Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0829103Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0829210Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0829312Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0829727Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0829836Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0829944Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0830317Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0830439Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0830533Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0830930Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0831061Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0831466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0831649Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0831757Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0832143Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0832244Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0832344Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0832748Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0832854Z return prims._uniform_helper( 2024-12-18T00:06:38.0832959Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0833273Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0833388Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0833478Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0833927Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0834039Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0834131Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0834512Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0834620Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0834776Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0835164Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0835305Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0835712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0835881Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0836003Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0836385Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0836522Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0836613Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0837023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0837136Z return prims._uniform_helper( 2024-12-18T00:06:38.0837225Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0837555Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0837660Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0837761Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0838176Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0838297Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0838390Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0838764Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0838882Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0838975Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0839375Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0839508Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0839926Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0840095Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0840204Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0840593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0840699Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0840801Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0841204Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0841323Z return prims._uniform_helper( 2024-12-18T00:06:38.0841486Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0841811Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0841931Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0842023Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0842449Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0842559Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0842666Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0843073Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0843184Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0843291Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0843680Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0843824Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0844284Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0844466Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0844576Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0844954Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0845066Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0845159Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0845567Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0845699Z return prims._uniform_helper( 2024-12-18T00:06:38.0845803Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0846117Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0846225Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0846327Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0846744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0846867Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0846959Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0847342Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0847452Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0847546Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0847939Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0848070Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0848486Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0848657Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0848779Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0849158Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0849262Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0849365Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0849763Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0849883Z return prims._uniform_helper( 2024-12-18T00:06:38.0849972Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0850302Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0850406Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0850497Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0850925Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0851035Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0851141Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0851513Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0851633Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0851727Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0852115Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0852600Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0853005Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0853189Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0853356Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0853751Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0853854Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0853947Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0854356Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0854463Z return prims._uniform_helper( 2024-12-18T00:06:38.0854568Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0854885Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0855004Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0855125Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0855542Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0855669Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0855770Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0856156Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0856266Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0856370Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0856759Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0856889Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0857307Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0857478Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0857597Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0858142Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0858263Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0858354Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0858753Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0858871Z return prims._uniform_helper( 2024-12-18T00:06:38.0858963Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0859290Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0859397Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0859500Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0859921Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0860032Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0860141Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0860518Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0860640Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0860733Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0861133Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0861265Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0861670Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0861919Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0862031Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0862425Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0862528Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0862635Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0863143Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0863251Z return prims._uniform_helper( 2024-12-18T00:06:38.0863355Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0863672Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0863793Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0863886Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0864323Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0864435Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0864563Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0864952Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0865062Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0865172Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0865562Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0865705Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0866113Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0866284Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0866411Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0866796Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0866917Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0867007Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0867419Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0867532Z return prims._uniform_helper( 2024-12-18T00:06:38.0867622Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0867951Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0868055Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0868157Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0868569Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0868696Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0868791Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0869161Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0869281Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0869373Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0869775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0869909Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0870324Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0870493Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0870600Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0870987Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0871115Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0871215Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0871615Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0871731Z return prims._uniform_helper( 2024-12-18T00:06:38.0871821Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0872186Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0872305Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0872401Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0872823Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0872935Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0873043Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0873417Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0873524Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0873655Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0874049Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0874192Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0874602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0874785Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0874893Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0875271Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0875386Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0875481Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0875892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0876001Z return prims._uniform_helper( 2024-12-18T00:06:38.0876106Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0876423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0876531Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0876632Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0877043Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0877163Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0877255Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0877638Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0877749Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0877843Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0878242Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0878373Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0878788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0878960Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0879078Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0879455Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0879556Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0879660Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0880059Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0880206Z return prims._uniform_helper( 2024-12-18T00:06:38.0880296Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0880623Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0880729Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0880820Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0881298Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0881478Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0881591Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0881971Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0882095Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0882192Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0882581Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0882730Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0883167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0883354Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0883468Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0883856Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0883956Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0884045Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0884546Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0884655Z return prims._uniform_helper( 2024-12-18T00:06:38.0884758Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0885076Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0885193Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0885285Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0885698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0885825Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0885919Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0886303Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0886412Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0886520Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0886910Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0887041Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0887458Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0887628Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0887749Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0888129Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0888245Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0888334Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0888733Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0888851Z return prims._uniform_helper( 2024-12-18T00:06:38.0888939Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0889266Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0889398Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0889501Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0889912Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0890022Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0890125Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0890552Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0890673Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0890765Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0891162Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0891294Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0891698Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0891881Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0891991Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0892406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0892509Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0892612Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0893015Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0893124Z return prims._uniform_helper( 2024-12-18T00:06:38.0893226Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0893542Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0893662Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0893755Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0894181Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0894290Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0894386Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0894773Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0894883Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0894994Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0895379Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0895523Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0895931Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0896099Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0896222Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0896600Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0896714Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0896804Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0897216Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0897325Z return prims._uniform_helper( 2024-12-18T00:06:38.0897415Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0897742Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0897848Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0897950Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0898363Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0898521Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0898615Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0898987Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0899110Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0899205Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0899651Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0899808Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0900223Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0900395Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0900506Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0900905Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0901012Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0901118Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0901545Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0901670Z return prims._uniform_helper( 2024-12-18T00:06:38.0901762Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0902081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0902205Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0902298Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0902723Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0902835Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0902945Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0903320Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0903431Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0903542Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0903934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0904079Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0904490Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0904672Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0904783Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0905165Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0905279Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0905370Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0905779Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0905889Z return prims._uniform_helper( 2024-12-18T00:06:38.0905991Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0906306Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0906415Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0906518Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0906931Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0907053Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0907148Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0907531Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0907666Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0907759Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0908159Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0908290Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0908706Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0908926Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0909047Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0909424Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0909524Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0909627Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0910026Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0910146Z return prims._uniform_helper( 2024-12-18T00:06:38.0910236Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0910587Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0910694Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0910785Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0911213Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0911323Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0911431Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0911799Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0911922Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0912020Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0912406Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0912551Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0912956Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0913139Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0913252Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0913643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0913745Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0913835Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0914244Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0914356Z return prims._uniform_helper( 2024-12-18T00:06:38.0914459Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0914775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0914893Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0914986Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0915402Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0915527Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0915621Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0916003Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0916112Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0916217Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0916602Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0916734Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0917179Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0917350Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0917471Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0917874Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0918013Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0918103Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0918501Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0918621Z return prims._uniform_helper( 2024-12-18T00:06:38.0918713Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0919039Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0919146Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0919250Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0919687Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0919799Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0919905Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0920279Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0920401Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0920494Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0920891Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0921023Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0921503Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0921693Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0921801Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0922195Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0922297Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0922404Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0922805Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0922914Z return prims._uniform_helper( 2024-12-18T00:06:38.0923021Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0923334Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0923450Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0923541Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0923969Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0924080Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0924174Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0924556Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0924666Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0924776Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0925159Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0925304Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0925708Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0925877Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0926033Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0926411Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0926526Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0926616Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0927027Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0927186Z return prims._uniform_helper( 2024-12-18T00:06:38.0927276Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0927607Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0927714Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0927818Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0928230Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0928358Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0928452Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0928850Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0928978Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0929072Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0929474Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0929606Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0930023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0930194Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0930302Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0930693Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0930796Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0930898Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0931297Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0931417Z return prims._uniform_helper( 2024-12-18T00:06:38.0931507Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0931826Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0931947Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0932041Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0932469Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0932579Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0932688Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0933064Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0933174Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0933282Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0933667Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0933809Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0934218Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0934399Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0934508Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0934885Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0934999Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0935140Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0935555Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0935663Z return prims._uniform_helper( 2024-12-18T00:06:38.0935767Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0936081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0936241Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0936349Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0936764Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0936890Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0936988Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0937377Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0937489Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0937583Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0938010Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0938145Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0938564Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0938739Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0938863Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0939244Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0939349Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0939455Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0939857Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0939982Z return prims._uniform_helper( 2024-12-18T00:06:38.0940075Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0940405Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0940513Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0940606Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0941040Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0941152Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0941261Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0941633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0941759Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0941855Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0942243Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0942391Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0942798Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0942980Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0943092Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0943480Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0943581Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0943672Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0944081Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0944189Z return prims._uniform_helper( 2024-12-18T00:06:38.0944292Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0944633Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0944751Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0944844Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0945258Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0945429Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0945529Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0945912Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0946020Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0946125Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0946512Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0946645Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0947065Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0947326Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0947450Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0947831Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0947948Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0948041Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0948439Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0948560Z return prims._uniform_helper( 2024-12-18T00:06:38.0948651Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0948978Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0949085Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0949190Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0949609Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0949718Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0949825Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0950201Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0950324Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0950417Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0950815Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0950948Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0951351Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0951533Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0951648Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0952038Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0952140Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0952243Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0952647Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0952755Z return prims._uniform_helper( 2024-12-18T00:06:38.0952857Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0953172Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0953290Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0953381Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0953832Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0953942Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0954039Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0954424Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0954559Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0954689Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0955077Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0955223Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0955626Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0955797Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0955923Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0956304Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0956449Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0956540Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0956953Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0957064Z return prims._uniform_helper( 2024-12-18T00:06:38.0957157Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0957484Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0957590Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0957693Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0958285Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0958418Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0958513Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0958889Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0959013Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0959107Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0959512Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0959646Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0960064Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0960234Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0960344Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0960735Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0960838Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0960940Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0961340Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0961528Z return prims._uniform_helper( 2024-12-18T00:06:38.0961620Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0961941Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0962061Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0962152Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0962582Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0962692Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0962800Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0963236Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0963345Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0963455Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0963843Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0963989Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0964466Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0964650Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0964759Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0965138Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0965251Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0965343Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0965751Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0965907Z return prims._uniform_helper( 2024-12-18T00:06:38.0966010Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0966326Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0966435Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0966535Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0966947Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0967069Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0967162Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0967547Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0967658Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0967750Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0968150Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0968282Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0968700Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0968873Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0968995Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0969371Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0969485Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0969576Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0969978Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0970098Z return prims._uniform_helper( 2024-12-18T00:06:38.0970191Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0970523Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0970629Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0970722Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0971153Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0971266Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0971372Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0971749Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0971873Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0971967Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0972353Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0972528Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0972934Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0973113Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0973274Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0973668Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0973770Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0973862Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0974272Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0974378Z return prims._uniform_helper( 2024-12-18T00:06:38.0974481Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0974797Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0974942Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0975035Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0975450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0975577Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0975671Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0976053Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0976163Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0976269Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0976657Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0976789Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0977205Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0977378Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0977502Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0977885Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0978002Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0978095Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0978491Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0978614Z return prims._uniform_helper( 2024-12-18T00:06:38.0978706Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0979034Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0979143Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0979248Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0979663Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0979775Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0979885Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0980262Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0980387Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0980481Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0980885Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0981017Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0981423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0981632Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0981739Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0982130Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0982237Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0982368Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0982795Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0982914Z return prims._uniform_helper( 2024-12-18T00:06:38.0983004Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0983316Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0983440Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0983531Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0983964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0984074Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0984191Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0984578Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0984690Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0984794Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0985179Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0985318Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0985720Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0985900Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0986011Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0986388Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0986501Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0986592Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0987006Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0987117Z return prims._uniform_helper( 2024-12-18T00:06:38.0987204Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0987533Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0987637Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0987739Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0988154Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0988282Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0988375Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0988744Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0988863Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0988959Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0989368Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0989501Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0989913Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0990081Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0990202Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0990582Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0990711Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0990811Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0991215Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0991332Z return prims._uniform_helper( 2024-12-18T00:06:38.0991423Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0991788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0991907Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0992003Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0992430Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0992540Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0992647Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0993022Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0993130Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0993261Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0993648Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0993791Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0994199Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0994382Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0994491Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0994881Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0994984Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0995076Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0995487Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0995596Z return prims._uniform_helper( 2024-12-18T00:06:38.0995699Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0996014Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.0996121Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.0996225Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0996637Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.0996759Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.0996852Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0997235Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.0997346Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.0997438Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0997840Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.0997969Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.0998380Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.0998551Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.0998669Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0999044Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.0999156Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.0999247Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.0999647Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.0999799Z return prims._uniform_helper( 2024-12-18T00:06:38.0999888Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1000215Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1000319Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1000406Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1000892Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1001003Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1001108Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1001560Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1001685Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1001779Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1002167Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1002313Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1002750Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1002933Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1003045Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1003436Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1003536Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1003635Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1004034Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1004141Z return prims._uniform_helper( 2024-12-18T00:06:38.1004241Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1004556Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1004673Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1004764Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1005173Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1005297Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1005389Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1005773Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1005882Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1005988Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1006377Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1006508Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1006924Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1007094Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1007214Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1007595Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1007707Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1007796Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1008208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1008317Z return prims._uniform_helper( 2024-12-18T00:06:38.1008409Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1008735Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1008868Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1008972Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1009385Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1009505Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1009598Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1010035Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1010158Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1010252Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1010648Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1010779Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1011196Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1011367Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1011503Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1011893Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1011994Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1012101Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1012501Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1012615Z return prims._uniform_helper( 2024-12-18T00:06:38.1012706Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1013023Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1020660Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1020796Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1021278Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1021411Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1021512Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1021917Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1022035Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1022144Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1022541Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1022677Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1023099Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1023271Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1023399Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1023787Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1023906Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1023997Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1024401Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1024528Z return prims._uniform_helper( 2024-12-18T00:06:38.1024624Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1024955Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1025061Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1025167Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1025585Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1025789Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1025905Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1026281Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1026404Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1026497Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1026936Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1027101Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1027507Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1027692Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1027805Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1028196Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1028300Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1028405Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1028837Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1028946Z return prims._uniform_helper( 2024-12-18T00:06:38.1029055Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1029375Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1029495Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1029585Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1030010Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1030121Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1030215Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1030603Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1030712Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1030821Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1031208Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1031351Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1031759Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1031930Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1032056Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1032434Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1032549Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1032641Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1033049Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1033158Z return prims._uniform_helper( 2024-12-18T00:06:38.1033248Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1033577Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1033687Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1033790Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1034207Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1034329Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1034422Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1034792Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1034947Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1035041Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1035443Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1035575Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1036018Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1036217Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1036327Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1036721Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1036823Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1036929Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1037328Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1037451Z return prims._uniform_helper( 2024-12-18T00:06:38.1037541Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1037882Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1038003Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1038095Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1038530Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1038638Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1038744Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1039113Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1039223Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1039331Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1039721Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1039863Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1040269Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1040450Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1040564Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1040944Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1041057Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1041148Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1041652Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1041763Z return prims._uniform_helper( 2024-12-18T00:06:38.1041866Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1042186Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1042295Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1042402Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1042816Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1042945Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1043040Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1043425Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1043534Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1043628Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1044032Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1044166Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1044615Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1044784Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1044910Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1045331Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1045461Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1045566Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1045964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1046089Z return prims._uniform_helper( 2024-12-18T00:06:38.1046183Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1046512Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1046621Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1046710Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1047165Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1047279Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1047384Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1047760Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1047884Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1047976Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1048364Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1048511Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1048916Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1049100Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1049213Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1049605Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1049708Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1049801Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1050216Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1050324Z return prims._uniform_helper( 2024-12-18T00:06:38.1050430Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1050748Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1050866Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1050954Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1051369Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1051493Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1051586Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1051967Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1052079Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1052184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1052571Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1052704Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1053121Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1053291Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1053440Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1053822Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1053937Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1054027Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1054452Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1054594Z return prims._uniform_helper( 2024-12-18T00:06:38.1054685Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1055015Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1055121Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1055223Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1055638Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1055752Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1055857Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1056253Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1056378Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1056469Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1056873Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1057005Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1057409Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1057592Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1057702Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1058294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1058401Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1058507Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1058910Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1059020Z return prims._uniform_helper( 2024-12-18T00:06:38.1059125Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1059447Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1059565Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1059660Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1060092Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1060203Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1060299Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1060686Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1060797Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1060905Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1061294Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1061439Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1061847Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1062017Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1062144Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1062658Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1062826Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1063109Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1063728Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1063840Z return prims._uniform_helper( 2024-12-18T00:06:38.1063936Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1064267Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1064448Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1064551Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1064965Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1065088Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1065184Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1065557Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1065681Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1065773Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1066205Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1066340Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1066760Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1066932Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1067044Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1067439Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1067542Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1067646Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1068047Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1068170Z return prims._uniform_helper( 2024-12-18T00:06:38.1068260Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1068580Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1068700Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1068790Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1069223Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1069332Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1069429Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1069817Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1069924Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1070020Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1070419Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1070553Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1070971Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1071139Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1071267Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1071646Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1071747Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1071849Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1072246Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1072364Z return prims._uniform_helper( 2024-12-18T00:06:38.1072452Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1072805Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1072910Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1072999Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1073425Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1073590Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1073698Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1074070Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1074190Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1074281Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1074669Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1074813Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1075218Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1075425Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1075537Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1075930Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1076030Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1076120Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1076531Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1076638Z return prims._uniform_helper( 2024-12-18T00:06:38.1076742Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1077056Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1077174Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1077261Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1077678Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1077798Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1077889Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1078277Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1078385Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1078493Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1078880Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1079010Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1079423Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1079593Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1079714Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1080089Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1080202Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1080293Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1080689Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1080808Z return prims._uniform_helper( 2024-12-18T00:06:38.1080897Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1081225Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1081327Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1081501Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1081967Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1082080Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1082191Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1082563Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1082738Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1082833Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1083238Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1083368Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1083775Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1083956Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1084065Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1084475Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1084575Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1084677Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1085076Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1085184Z return prims._uniform_helper( 2024-12-18T00:06:38.1085284Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1085598Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1085715Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1085805Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1086228Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1086335Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1086427Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1086809Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1086916Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1087018Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1087404Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1087546Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1087945Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1088113Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1088230Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1088607Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1088718Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1088806Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1089217Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1089322Z return prims._uniform_helper( 2024-12-18T00:06:38.1089411Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1089739Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1089844Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1090008Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1090420Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1090539Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1090629Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1091034Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1091153Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1091247Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1091643Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1091795Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1092233Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1092401Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1092508Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1092899Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1092999Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1093104Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1093501Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1093647Z return prims._uniform_helper( 2024-12-18T00:06:38.1093734Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1094050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1094170Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1094259Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1094686Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1094802Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1094893Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1095272Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1095379Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1095486Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1095872Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1096011Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1096413Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1096584Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1096699Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1097075Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1097189Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1097276Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1097682Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1097786Z return prims._uniform_helper( 2024-12-18T00:06:38.1097875Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1098202Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1098305Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1098410Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1098824Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1098947Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1099039Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1099409Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1099530Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1099621Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1100046Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1100171Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1100591Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1100754Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1100974Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1101361Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1101462Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1101563Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1101961Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1102081Z return prims._uniform_helper( 2024-12-18T00:06:38.1102167Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1102485Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1102624Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1102713Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1103139Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1103248Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1103352Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1103718Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1103826Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1103926Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1104313Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1104456Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1104855Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1105037Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1105140Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1105519Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1105630Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1105718Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1106125Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1106229Z return prims._uniform_helper( 2024-12-18T00:06:38.1106328Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1106638Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1106743Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1106840Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1107251Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1107368Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1107458Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1107842Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1107948Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1108037Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1108434Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1108560Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1108973Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1109166Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1109286Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1109659Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1109761Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1109906Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1110301Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1110414Z return prims._uniform_helper( 2024-12-18T00:06:38.1110501Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1110825Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1110926Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1111015Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1111435Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1111576Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1111682Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1112050Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1112168Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1112256Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1112640Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1112776Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1113182Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1113363Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1113470Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1113860Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1113958Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1114050Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1114457Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1114562Z return prims._uniform_helper( 2024-12-18T00:06:38.1114662Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1114976Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1115093Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1115184Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1115596Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1115713Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1115803Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1116185Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1116289Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1116391Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1116776Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1116904Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1117311Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1117476Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1117592Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1117964Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1118102Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1118187Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1118584Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1118697Z return prims._uniform_helper( 2024-12-18T00:06:38.1118784Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1119155Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1119258Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1119360Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1119769Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1119880Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1119978Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1120350Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1120472Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1120582Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1120987Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1121115Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1121585Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1121765Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1121872Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1122260Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1122360Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1122466Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1122859Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1122967Z return prims._uniform_helper( 2024-12-18T00:06:38.1123063Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1123374Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1123495Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1123580Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1124004Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1124110Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1124201Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1124576Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1124684Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1124788Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1125170Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1125310Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1125711Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1125880Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1125993Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1126373Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1126483Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1126569Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1126975Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1127109Z return prims._uniform_helper( 2024-12-18T00:06:38.1127196Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1127520Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1127623Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1127724Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1128187Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1128304Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1128391Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1128757Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1128873Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1128964Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1129361Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1129486Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1129923Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1130090Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1130200Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1130586Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1130682Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1130779Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1131176Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1131288Z return prims._uniform_helper( 2024-12-18T00:06:38.1131374Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1131688Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1131801Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1131891Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1132312Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1132422Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1132525Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1132895Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1133003Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1133105Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1133490Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1133636Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1134035Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1134218Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1134324Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1134705Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1134816Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1134906Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1135314Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1135420Z return prims._uniform_helper( 2024-12-18T00:06:38.1135522Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1135833Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1135961Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1136061Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1136472Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1136594Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1136685Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1137116Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1137224Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1137314Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1137712Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1137842Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1138254Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1138422Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1138567Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1138941Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1139044Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1139149Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1139548Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1139663Z return prims._uniform_helper( 2024-12-18T00:06:38.1139748Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1140077Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1140177Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1140267Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1140686Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1140794Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1140899Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1141267Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1141391Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1141479Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1141863Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1142001Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1142401Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1142575Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1142681Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1143067Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1143164Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1143251Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1143656Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1143762Z return prims._uniform_helper( 2024-12-18T00:06:38.1143862Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1144174Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1144293Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1144378Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1144788Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1144929Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1145018Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1145399Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1145503Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1145606Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1146055Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1146181Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1146593Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1146761Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1146880Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1147253Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1147367Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1147451Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1147873Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1147992Z return prims._uniform_helper( 2024-12-18T00:06:38.1148079Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1148403Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1148508Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1148605Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1149012Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1149121Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1149220Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1149587Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1149705Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1149794Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1150192Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1150321Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1150724Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1150897Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1151004Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1151390Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1151487Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1151590Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1151986Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1152093Z return prims._uniform_helper( 2024-12-18T00:06:38.1152188Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1152504Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1152621Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1152707Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1153128Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1153235Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1153324Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1153702Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1153834Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1153935Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1154320Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1154461Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1154885Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1155076Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1155191Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1155571Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1155680Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1155766Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1156168Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1156273Z return prims._uniform_helper( 2024-12-18T00:06:38.1156359Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1156706Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1156811Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1156909Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1157321Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1157439Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1157526Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1157893Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1158175Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1158268Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1158667Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1158794Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1159209Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1159374Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1159481Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1159874Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1159974Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1160074Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1160469Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1160586Z return prims._uniform_helper( 2024-12-18T00:06:38.1160672Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1160988Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1161102Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1161189Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1161677Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1161790Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1161893Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1162258Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1162364Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1162469Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1162850Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1163044Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1163444Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1163628Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1163732Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1164152Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1164295Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1164384Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1164796Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1164903Z return prims._uniform_helper( 2024-12-18T00:06:38.1165004Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1165315Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1165419Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1165517Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1165965Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1166085Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1166174Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1166557Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 287, in _prim_impl 2024-12-18T00:06:38.1166663Z return impl_aten(*args, **kwargs) 2024-12-18T00:06:38.1166755Z ^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1167141Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2755, in _uniform_aten 2024-12-18T00:06:38.1167267Z a.uniform_(low, high, generator=generator) 2024-12-18T00:06:38.1167675Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2792, in uniform_ 2024-12-18T00:06:38.1167840Z return self.copy_(uniform(self, low, high, generator)) 2024-12-18T00:06:38.1167960Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1168334Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/wrappers.py", line 291, in _fn 2024-12-18T00:06:38.1168432Z result = fn(*args, **kwargs) 2024-12-18T00:06:38.1168531Z ^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1168927Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_decomp/decompositions.py", line 2780, in uniform 2024-12-18T00:06:38.1169042Z return prims._uniform_helper( 2024-12-18T00:06:38.1169127Z ^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1169450Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_ops.py", line 723, in __call__ 2024-12-18T00:06:38.1169560Z return self._op(*args, **kwargs) 2024-12-18T00:06:38.1169649Z ^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1170075Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 302, in _backend_select_impl 2024-12-18T00:06:38.1170188Z return _prim_impl(*args, **kwargs) 2024-12-18T00:06:38.1170296Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1170666Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 286, in _prim_impl 2024-12-18T00:06:38.1170783Z meta(*args, **kwargs) 2024-12-18T00:06:38.1171171Z File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/__init__.py", line 2741, in _uniform_meta 2024-12-18T00:06:38.1171328Z strides = utils.make_contiguous_strides_for(shape) 2024-12-18T00:06:38.1171448Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2024-12-18T00:06:38.1171598Z RecursionError: maximum recursion depth exceeded 2024-12-18T00:06:38.1171606Z 2024-12-18T00:06:38.1171815Z To execute this test, run the following from the base repo dir: 2024-12-18T00:06:38.1172122Z python test/test_python_dispatch.py TestPythonRegistration.test_returning_symint 2024-12-18T00:06:38.1172128Z 2024-12-18T00:06:38.1172381Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-12-18T00:06:38.1172962Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-f98c4057f6f97165.xml - 2024-12-18T00:06:38.1173162Z =========================== short test summary info ============================ 2024-12-18T00:06:38.1173717Z FAILED [0.0140s] test_python_dispatch.py::TestPythonRegistration::test_returning_symint - RecursionError: maximum recursion depth exceeded 2024-12-18T00:06:38.1173722Z 2024-12-18T00:06:38.1173924Z To execute this test, run the following from the base repo dir: 2024-12-18T00:06:38.1174207Z python test/test_python_dispatch.py TestPythonRegistration.test_returning_symint 2024-12-18T00:06:38.1174212Z 2024-12-18T00:06:38.1174445Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2024-12-18T00:06:38.1174623Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2024-12-18T00:06:38.1174829Z =============== 1 failed, 14 passed, 8 skipped, 2 rerun in 0.28s =============== 2024-12-18T00:06:38.1174935Z Got exit code 1 2024-12-18T00:06:38.1175037Z Retrying single test... 2024-12-18T00:06:38.1175481Z Test results will be stored in test-reports/python-pytest/test_python_dispatch/test_python_dispatch-521e19c0a1614065.xml 2024-12-18T00:06:38.1175630Z ============================= test session starts ============================== 2024-12-18T00:06:38.1175933Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:06:38.1176048Z cachedir: .pytest_cache 2024-12-18T00:06:38.1176496Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:06:38.1176624Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:06:38.1176727Z configfile: pytest.ini 2024-12-18T00:06:38.1177202Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:06:38.1177402Z collecting ... collected 119 items / 118 deselected / 1 selected 2024-12-18T00:06:38.1177880Z stepcurrent: skipping 22 already run items. Running only test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint 2024-12-18T00:06:38.1178005Z Running 1 items in this shard 2024-12-18T00:06:38.1178009Z 2024-12-18T00:06:38.1178336Z test_python_dispatch.py::TestPythonRegistration::test_returning_symint PASSED [0.0902s] [100%] 2024-12-18T00:06:38.1178341Z 2024-12-18T00:06:38.1178925Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-521e19c0a1614065.xml - 2024-12-18T00:06:38.1179090Z ====================== 1 passed, 118 deselected in 0.13s ======================= 2024-12-18T00:06:38.1179194Z Got exit code 0 2024-12-18T00:06:38.1179414Z Test succeeeded in new process, continuing with the rest of the tests 2024-12-18T00:06:38.1179851Z Test results will be stored in test-reports/python-pytest/test_python_dispatch/test_python_dispatch-5689f16f65ff3cf0.xml 2024-12-18T00:06:38.1180001Z ============================= test session starts ============================== 2024-12-18T00:06:38.1180311Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:06:38.1180414Z cachedir: .pytest_cache 2024-12-18T00:06:38.1180854Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:06:38.1180980Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:06:38.1181079Z configfile: pytest.ini 2024-12-18T00:06:38.1181547Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:06:38.1181743Z collecting ... collected 119 items / 23 deselected / 96 selected 2024-12-18T00:06:38.1181908Z stepcurrent: skipping 23 already run items. 2024-12-18T00:06:38.1182014Z Running 96 items in this shard 2024-12-18T00:06:38.1182021Z 2024-12-18T00:06:38.1182314Z test_python_dispatch.py::TestPythonDispatch::test_all_same_mode PASSED [0.0029s] [ 1%] 2024-12-18T00:06:38.1182632Z test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr PASSED [0.0026s] [ 2%] 2024-12-18T00:06:38.1182954Z test_python_dispatch.py::TestPythonDispatch::test_basic PASSED [0.0058s] [ 3%] 2024-12-18T00:06:38.1183350Z test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode PASSED [0.0025s] [ 4%] 2024-12-18T00:06:38.1183669Z test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor PASSED [0.0015s] [ 5%] 2024-12-18T00:06:38.1183974Z test_python_dispatch.py::TestPythonDispatch::test_custom_autograd PASSED [0.0044s] [ 6%] 2024-12-18T00:06:38.1184341Z test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes PASSED [0.0644s] [ 7%] 2024-12-18T00:06:38.1184724Z test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path PASSED [0.0017s] [ 8%] 2024-12-18T00:06:38.1185113Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass PASSED [0.0019s] [ 9%] 2024-12-18T00:06:38.1185453Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass PASSED [0.0021s] [ 10%] 2024-12-18T00:06:38.1185954Z test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type PASSED [0.0016s] [ 11%] 2024-12-18T00:06:38.1186334Z test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once PASSED [0.0018s] [ 12%] 2024-12-18T00:06:38.1186639Z test_python_dispatch.py::TestPythonDispatch::test_device_slowpath PASSED [0.0020s] [ 13%] 2024-12-18T00:06:38.1186922Z test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath PASSED [0.0018s] [ 14%] 2024-12-18T00:06:38.1187248Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call PASSED [0.0019s] [ 15%] 2024-12-18T00:06:38.1187596Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg PASSED [0.0017s] [ 16%] 2024-12-18T00:06:38.1187955Z test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd PASSED [0.0017s] [ 17%] 2024-12-18T00:06:38.1188317Z test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode PASSED [0.0017s] [ 18%] 2024-12-18T00:06:38.1188627Z test_python_dispatch.py::TestPythonDispatch::test_exception_handling PASSED [0.0016s] [ 19%] 2024-12-18T00:06:38.1188926Z test_python_dispatch.py::TestPythonDispatch::test_fancy_strides PASSED [0.0019s] [ 20%] 2024-12-18T00:06:38.1189186Z test_python_dispatch.py::TestPythonDispatch::test_format PASSED [0.0032s] [ 21%] 2024-12-18T00:06:38.1189480Z test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode PASSED [0.0017s] [ 22%] 2024-12-18T00:06:38.1189770Z test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack PASSED [0.0018s] [ 23%] 2024-12-18T00:06:38.1190164Z test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass PASSED [0.0016s] [ 25%] 2024-12-18T00:06:38.1190447Z test_python_dispatch.py::TestPythonDispatch::test_invalid_ret PASSED [0.0017s] [ 26%] 2024-12-18T00:06:38.1190782Z test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path PASSED [0.0025s] [ 27%] 2024-12-18T00:06:38.1191061Z test_python_dispatch.py::TestPythonDispatch::test_kwarg_only PASSED [0.0025s] [ 28%] 2024-12-18T00:06:38.1191425Z test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default PASSED [0.0021s] [ 29%] 2024-12-18T00:06:38.1191735Z test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path PASSED [0.0023s] [ 30%] 2024-12-18T00:06:38.1191992Z test_python_dispatch.py::TestPythonDispatch::test_like PASSED [0.0031s] [ 31%] 2024-12-18T00:06:38.1192267Z test_python_dispatch.py::TestPythonDispatch::test_list_ret PASSED [0.0018s] [ 32%] 2024-12-18T00:06:38.1192612Z test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass PASSED [0.0110s] [ 33%] 2024-12-18T00:06:38.1192951Z test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes PASSED [0.0017s] [ 34%] 2024-12-18T00:06:38.1193305Z test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc PASSED [0.0014s] [ 35%] 2024-12-18T00:06:38.1193731Z test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata PASSED [0.0016s] [ 36%] 2024-12-18T00:06:38.1194062Z test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug PASSED [0.0014s] [ 37%] 2024-12-18T00:06:38.1194350Z test_python_dispatch.py::TestPythonDispatch::test_mode_detection PASSED [0.0014s] [ 38%] 2024-12-18T00:06:38.1194686Z test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass PASSED [0.0015s] [ 39%] 2024-12-18T00:06:38.1195007Z test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass PASSED [0.0015s] [ 40%] 2024-12-18T00:06:38.1195378Z test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode PASSED [0.0020s] [ 41%] 2024-12-18T00:06:38.1195714Z test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode PASSED [0.0017s] [ 42%] 2024-12-18T00:06:38.1195992Z test_python_dispatch.py::TestPythonDispatch::test_new_ones PASSED [0.0015s] [ 43%] 2024-12-18T00:06:38.1196283Z test_python_dispatch.py::TestPythonDispatch::test_none_wrapping PASSED [0.0024s] [ 44%] 2024-12-18T00:06:38.1196601Z test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode PASSED [0.0017s] [ 45%] 2024-12-18T00:06:38.1196930Z test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list PASSED [0.0021s] [ 46%] 2024-12-18T00:06:38.1197183Z test_python_dispatch.py::TestPythonDispatch::test_out PASSED [0.0019s] [ 47%] 2024-12-18T00:06:38.1197498Z test_python_dispatch.py::TestPythonDispatch::test_produce_real_type PASSED [0.0022s] [ 48%] 2024-12-18T00:06:38.1197784Z test_python_dispatch.py::TestPythonDispatch::test_record_stream PASSED [0.0017s] [ 50%] 2024-12-18T00:06:38.1198231Z test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride PASSED [0.0023s] [ 51%] 2024-12-18T00:06:38.1198515Z test_python_dispatch.py::TestPythonDispatch::test_return_stream PASSED [0.0019s] [ 52%] 2024-12-18T00:06:38.1198793Z test_python_dispatch.py::TestPythonDispatch::test_set_data PASSED [0.0017s] [ 53%] 2024-12-18T00:06:38.1199122Z test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach PASSED [0.0022s] [ 54%] 2024-12-18T00:06:38.1199418Z test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path PASSED [0.0023s] [ 55%] 2024-12-18T00:06:38.1199759Z test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass PASSED [0.0014s] [ 56%] 2024-12-18T00:06:38.1200023Z test_python_dispatch.py::TestPythonDispatch::test_storage PASSED [0.0015s] [ 57%] 2024-12-18T00:06:38.1200431Z test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object PASSED [0.0016s] [ 58%] 2024-12-18T00:06:38.1200735Z test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path PASSED [0.0021s] [ 59%] 2024-12-18T00:06:38.1201105Z test_python_dispatch.py::TestPythonDispatch::test_subclass_autograd_device_check PASSED [0.0023s] [ 60%] 2024-12-18T00:06:38.1201476Z test_python_dispatch.py::TestPythonDispatch::test_subclass_creation PASSED [0.0022s] [ 61%] 2024-12-18T00:06:38.1201803Z test_python_dispatch.py::TestPythonDispatch::test_subclass_priority PASSED [0.0018s] [ 62%] 2024-12-18T00:06:38.1202143Z test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path PASSED [0.0020s] [ 63%] 2024-12-18T00:06:38.1202524Z test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode PASSED [0.0021s] [ 64%] 2024-12-18T00:06:38.1202873Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic PASSED [0.0016s] [ 65%] 2024-12-18T00:06:38.1203270Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch PASSED [0.0018s] [ 66%] 2024-12-18T00:06:38.1203699Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority PASSED [0.0019s] [ 67%] 2024-12-18T00:06:38.1204079Z test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors PASSED [0.0016s] [ 68%] 2024-12-18T00:06:38.1204353Z test_python_dispatch.py::TestPythonDispatch::test_version PASSED [0.0020s] [ 69%] 2024-12-18T00:06:38.1204786Z test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch PASSED [0.0016s] [ 70%] 2024-12-18T00:06:38.1205145Z test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately PASSED [0.0015s] [ 71%] 2024-12-18T00:06:38.1205447Z test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes PASSED [0.0016s] [ 72%] 2024-12-18T00:06:38.1205826Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys PASSED [0.0014s] [ 73%] 2024-12-18T00:06:38.1206282Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype PASSED [0.0377s] [ 75%] 2024-12-18T00:06:38.1206728Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode PASSED [0.0024s] [ 76%] 2024-12-18T00:06:38.1207083Z test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes PASSED [0.0035s] [ 77%] 2024-12-18T00:06:38.1207349Z test_python_dispatch.py::TestPythonDispatcher::test_basic PASSED [0.0016s] [ 78%] 2024-12-18T00:06:38.1207629Z test_python_dispatch.py::TestPythonDispatcher::test_lstsq PASSED [0.0039s] [ 79%] 2024-12-18T00:06:38.1208105Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32 PASSED [0.0202s] [ 80%] 2024-12-18T00:06:38.1208559Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu PASSED [0.0035s] [ 81%] 2024-12-18T00:06:38.1209121Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32 PASSED [0.0072s] [ 82%] 2024-12-18T00:06:38.1209696Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32 PASSED [0.0072s] [ 83%] 2024-12-18T00:06:38.1210256Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32 PASSED [0.0070s] [ 84%] 2024-12-18T00:06:38.1210846Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32 PASSED [0.0069s] [ 85%] 2024-12-18T00:06:38.1211412Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32 PASSED [0.0119s] [ 86%] 2024-12-18T00:06:38.1211989Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32 PASSED [0.0069s] [ 87%] 2024-12-18T00:06:38.1212561Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32 PASSED [0.0073s] [ 88%] 2024-12-18T00:06:38.1213149Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32 PASSED [0.0081s] [ 89%] 2024-12-18T00:06:38.1213786Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32 PASSED [0.0071s] [ 90%] 2024-12-18T00:06:38.1214350Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32 PASSED [0.0072s] [ 91%] 2024-12-18T00:06:38.1214940Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32 PASSED [0.0070s] [ 92%] 2024-12-18T00:06:38.1215396Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu PASSED [0.0021s] [ 93%] 2024-12-18T00:06:38.1215901Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32 PASSED [0.0068s] [ 94%] 2024-12-18T00:06:38.1216430Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32 PASSED [0.0076s] [ 95%] 2024-12-18T00:06:38.1216911Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu PASSED [0.0021s] [ 96%] 2024-12-18T00:06:38.1217413Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32 PASSED [0.0069s] [ 97%] 2024-12-18T00:06:38.1217941Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32 PASSED [0.0068s] [ 98%] 2024-12-18T00:06:38.1218420Z test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 PASSED [0.0068s] [100%] 2024-12-18T00:06:38.1218425Z 2024-12-18T00:06:38.1219008Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-5689f16f65ff3cf0.xml - 2024-12-18T00:06:38.1219200Z ====================== 96 passed, 23 deselected in 0.54s ======================= 2024-12-18T00:06:38.1219733Z The following tests failed and then succeeded when run in a new process['test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint'] 2024-12-18T00:06:38.1219740Z 2024-12-18T00:06:38.1220160Z FINISHED PRINTING LOG FILE of test_python_dispatch 1/1 (test/test-reports/test_python_dispatch_1.1_a7667f800b96c242_.log) 2024-12-18T00:06:38.1220165Z 2024-12-18T00:06:38.1220360Z Running test_mobile_optimizer 1/1 ... [2024-12-18 00:06:37.893303] 2024-12-18T00:06:38.1220486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:06:38.1221321Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:06:37.893605] 2024-12-18T00:06:43.8157650Z 2024-12-18T00:06:43.8158865Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_880d42cf6f6f6e44_.log 2024-12-18T00:06:43.8161869Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2024-12-18T00:06:43.8164258Z 2024-12-18T00:06:43.8164482Z Running nn/test_convolution 1/1 ... [2024-12-18 00:06:43.815921] 2024-12-18T00:06:43.8164913Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:06:43.8165952Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:06:43.816209] 2024-12-18T00:07:06.6635946Z 2024-12-18T00:07:06.6636897Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_55cbb946df4966ee_.log 2024-12-18T00:07:06.6963507Z Running 588 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_cpu_complex64, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2024-12-18T00:07:06.7284238Z 2024-12-18T00:07:06.7284415Z Running test_nn 1/1 ... [2024-12-18 00:07:06.664595] 2024-12-18T00:07:06.7284800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:07:06.7286002Z 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'] ... [2024-12-18 00:07:06.664911] 2024-12-18T00:09:22.8529343Z 2024-12-18T00:09:22.8530131Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_8d2e9e646fb63351_.log 2024-12-18T00:09:22.9657860Z Running 2179 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_half_overflow, 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_gaussian_nll_loss_scalar_var, 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_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, 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_float64, 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_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, 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_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, 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 2024-12-18T00:09:23.0759260Z 2024-12-18T00:09:23.0759534Z Running test_multiprocessing_spawn 1/1 ... [2024-12-18 00:09:22.856159] 2024-12-18T00:09:23.0760011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:09:23.0761109Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:09:22.856449] 2024-12-18T00:11:38.4981884Z 2024-12-18T00:11:38.4982936Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_8b0873d1b676c222_.log 2024-12-18T00:11:38.4994913Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2024-12-18T00:11:38.5005600Z 2024-12-18T00:11:38.5005796Z Running test_overrides 1/1 ... [2024-12-18 00:11:38.498306] 2024-12-18T00:11:38.5006208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:11:38.5007216Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:11:38.498580] 2024-12-18T00:11:45.9224625Z 2024-12-18T00:11:45.9225631Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_e4cdabbecaab25bb_.log 2024-12-18T00:11:45.9695394Z Running 1466 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___eq__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___float__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___floordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___format__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ge__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___getitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___gt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iadd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ne__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___nonzero__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___or__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___radd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rdiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reduce_ex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___repr__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reversed__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rfloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rlshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmatmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ror__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rpow__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rrshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rsub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rxor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setstate__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___sub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___truediv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___xor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_full_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_reduced_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__clear_non_serializable_cached_data, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__coalesced_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimI, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimV, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__is_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_storage_offsets, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_strides, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nnz, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__sparse_mask_projection, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__update_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_all, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_angle, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_any, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_apply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_backward, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bfloat16, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_coalesce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_col_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2024-12-18T00:11:46.0154536Z 2024-12-18T00:11:46.0155019Z Running distributions/test_distributions 1/1 ... [2024-12-18 00:11:45.924116] 2024-12-18T00:11:46.0155528Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:11:46.0156654Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:11:45.924437] 2024-12-18T00:12:31.5517154Z 2024-12-18T00:12:31.5518259Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_0a570fa9c29a59d6_.log 2024-12-18T00:12:31.5604445Z Running 225 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2024-12-18T00:12:31.5689530Z 2024-12-18T00:12:31.5689747Z Running test_autoload_disable 1/1 ... [2024-12-18 00:12:31.552035] 2024-12-18T00:12:34.3053697Z running install 2024-12-18T00:12:34.3054938Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-18T00:12:34.3056067Z !! 2024-12-18T00:12:34.3056185Z 2024-12-18T00:12:34.3056341Z ******************************************************************************** 2024-12-18T00:12:34.3056726Z Please avoid running ``setup.py`` directly. 2024-12-18T00:12:34.3057140Z Instead, use pypa/build, pypa/installer or other 2024-12-18T00:12:34.3057516Z standards-based tools. 2024-12-18T00:12:34.3057720Z 2024-12-18T00:12:34.3058222Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-18T00:12:34.3058776Z ******************************************************************************** 2024-12-18T00:12:34.3059020Z 2024-12-18T00:12:34.3059120Z !! 2024-12-18T00:12:34.3059402Z self.initialize_options() 2024-12-18T00:12:34.3185853Z running build 2024-12-18T00:12:34.3186120Z running build_py 2024-12-18T00:12:34.3262726Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-18T00:12:34.3265109Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-18T00:12:34.3268587Z running build_ext 2024-12-18T00:12:34.4090515Z building 'torch_test_cpp_extension.cpp' extension 2024-12-18T00:12:34.4092068Z creating build/temp.linux-x86_64-cpython-312 2024-12-18T00:12:34.4097733Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c extension.cpp -o build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:12:35.6127656Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2024-12-18T00:12:35.6128792Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2024-12-18T00:12:35.6129660Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/extension.h:9, 2024-12-18T00:12:35.6130236Z from extension.cpp:1: 2024-12-18T00:12:35.6131563Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2024-12-18T00:12:35.6132407Z extension.cpp:45:53: required from here 2024-12-18T00:12:35.6133850Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2024-12-18T00:12:35.6136737Z 1539 | class class_ : public detail::generic_type { 2024-12-18T00:12:35.6137106Z | ^~~~~~ 2024-12-18T00:12:35.6138877Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2024-12-18T00:12:35.6140385Z extension.cpp:45:53: required from here 2024-12-18T00:12:35.6143625Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::’ declared with greater visibility than the type of its field ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::::’ [-Wattributes] 2024-12-18T00:12:35.6146357Z 1599 | with_internals([&](internals &internals) { 2024-12-18T00:12:35.6146753Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:35.6147293Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2024-12-18T00:12:35.6147916Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:35.6148376Z 1601 | : internals.registered_types_cpp; 2024-12-18T00:12:35.6148801Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:35.6149233Z 1602 | instances[std::type_index(typeid(type_alias))] 2024-12-18T00:12:35.6149651Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:35.6150058Z 1603 | = instances[std::type_index(typeid(type))]; 2024-12-18T00:12:35.6150462Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:35.6150783Z 1604 | }); 2024-12-18T00:12:35.6151043Z | ~ 2024-12-18T00:12:35.6154157Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:12:36.0263155Z building 'torch_test_cpp_extension.maia' extension 2024-12-18T00:12:36.0267924Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:12:37.3252994Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/maia_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:12:37.7023438Z building 'torch_test_cpp_extension.rng' extension 2024-12-18T00:12:37.7027569Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:12:38.9610198Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:12:38.9611196Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:12:38.9612006Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:12:38.9612913Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:12:38.9613608Z from rng_extension.cpp:6: 2024-12-18T00:12:38.9614428Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1123: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:12:38.9615209Z 1123 | # pragma unroll 2024-12-18T00:12:38.9615464Z | 2024-12-18T00:12:38.9616012Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1163, 2024-12-18T00:12:38.9616910Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:12:38.9617717Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:12:38.9618504Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:12:38.9619392Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:12:38.9620123Z from rng_extension.cpp:6: 2024-12-18T00:12:38.9620957Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:12:38.9621724Z 59 | #pragma unroll 2024-12-18T00:12:38.9621980Z | 2024-12-18T00:12:38.9622649Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:12:38.9623387Z 72 | #pragma unroll 2024-12-18T00:12:38.9623637Z | 2024-12-18T00:12:38.9624309Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:12:38.9625070Z 87 | #pragma unroll 2024-12-18T00:12:38.9625317Z | 2024-12-18T00:12:38.9626004Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1164, 2024-12-18T00:12:38.9626905Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:12:38.9627711Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:12:38.9628599Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:12:38.9629500Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:12:38.9630173Z from rng_extension.cpp:6: 2024-12-18T00:12:38.9630977Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:12:38.9631741Z 153 | #pragma unroll 2024-12-18T00:12:38.9631991Z | 2024-12-18T00:12:38.9635098Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:12:39.3712355Z running install_lib 2024-12-18T00:12:39.3794275Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:12:39.3894615Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:12:39.3988407Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:12:39.4092015Z running install_egg_info 2024-12-18T00:12:39.4263113Z running egg_info 2024-12-18T00:12:39.4332192Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-12-18T00:12:39.4335616Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-12-18T00:12:39.4337536Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2024-12-18T00:12:39.4339564Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-12-18T00:12:39.4414583Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-18T00:12:39.4423247Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-18T00:12:39.4424670Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it) 2024-12-18T00:12:39.4426372Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-12-18T00:12:39.4432536Z running install_scripts 2024-12-18T00:12:42.7748692Z 2024-12-18T00:12:42.7749075Z Running tests... 2024-12-18T00:12:42.7749448Z ---------------------------------------------------------------------- 2024-12-18T00:12:42.7885993Z . 2024-12-18T00:12:42.7886283Z ---------------------------------------------------------------------- 2024-12-18T00:12:42.7886669Z Ran 1 test in 0.014s 2024-12-18T00:12:42.7886839Z 2024-12-18T00:12:42.7887113Z OK 2024-12-18T00:12:42.7887224Z 2024-12-18T00:12:42.7887348Z Generating XML reports... 2024-12-18T00:12:43.3559422Z Running doctests 1/1 ... [2024-12-18 00:12:43.355648] 2024-12-18T00:12:43.4466708Z Start doctest_module('/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch') 2024-12-18T00:12:43.4477467Z Listing tests 2024-12-18T00:12:43.7526908Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py line=1496. 2024-12-18T00:12:43.7527893Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.7528278Z 2024-12-18T00:12:43.7528426Z dim_order(ambiguity_check=False) -> tuple 2024-12-18T00:12:43.7528683Z 2024-12-18T00:12:43.7528931Z Returns the uniquely determined tuple of int describing the dim order or 2024-12-18T00:12:43.7529385Z physical layout of :attr:`self`. 2024-12-18T00:12:43.7529604Z 2024-12-18T00:12:43.7529799Z The dim order represents how dimensions are laid out in memory, 2024-12-18T00:12:43.7530289Z starting from the outermost to the innermost dimension. 2024-12-18T00:12:43.7530582Z 2024-12-18T00:12:43.7530776Z Note that the dim order may not always be uniquely determined. 2024-12-18T00:12:43.7531521Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2024-12-18T00:12:43.7532427Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2024-12-18T00:12:43.7533196Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2024-12-18T00:12:43.7533877Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2024-12-18T00:12:43.7534441Z Otherwise, it will raise TypeError. 2024-12-18T00:12:43.7534665Z 2024-12-18T00:12:43.7534759Z Args: 2024-12-18T00:12:43.7535205Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2024-12-18T00:12:43.7535640Z 2024-12-18T00:12:43.7535770Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2024-12-18T00:12:43.7536089Z (0, 1, 2, 3) 2024-12-18T00:12:43.7536384Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2024-12-18T00:12:43.7536746Z (0, 2, 1, 3) 2024-12-18T00:12:43.7537100Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2024-12-18T00:12:43.7537513Z (0, 2, 3, 1) 2024-12-18T00:12:43.7537773Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2024-12-18T00:12:43.7538078Z (0, 1, 2, 3) 2024-12-18T00:12:43.7538312Z >>> try: 2024-12-18T00:12:43.7538618Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2024-12-18T00:12:43.7539021Z ... except RuntimeError as e: 2024-12-18T00:12:43.7539325Z ... print(e) 2024-12-18T00:12:43.7539786Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2024-12-18T00:12:43.7540323Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2024-12-18T00:12:43.7540761Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2024-12-18T00:12:43.7541225Z ... ) # It can be mapped to contiguous format 2024-12-18T00:12:43.7541558Z (0, 1, 2, 3) 2024-12-18T00:12:43.7541775Z >>> try: 2024-12-18T00:12:43.7542097Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2024-12-18T00:12:43.7542506Z ... except TypeError as e: 2024-12-18T00:12:43.7542795Z ... print(e) 2024-12-18T00:12:43.7543193Z The ambiguity_check argument must be a bool or a list of memory formats. 2024-12-18T00:12:43.7543634Z .. warning:: 2024-12-18T00:12:43.7543970Z The dim_order tensor API is experimental and subject to change. 2024-12-18T00:12:43.7544293Z 2024-12-18T00:12:43.7544543Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.7544920Z 2024-12-18T00:12:43.8078260Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=431. 2024-12-18T00:12:43.8079330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8079962Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-12-18T00:12:43.8080313Z 2024-12-18T00:12:43.8080513Z This is helpful when you want to visualize data over some 2024-12-18T00:12:43.8080955Z range of inputs. See below for a plotting example. 2024-12-18T00:12:43.8081291Z 2024-12-18T00:12:43.8081566Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-12-18T00:12:43.8082050Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-12-18T00:12:43.8082552Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-12-18T00:12:43.8083023Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-12-18T00:12:43.8083487Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-12-18T00:12:43.8083888Z to the result shape. 2024-12-18T00:12:43.8084088Z 2024-12-18T00:12:43.8084191Z .. note:: 2024-12-18T00:12:43.8084506Z 0D inputs are treated equivalently to 1D inputs of a 2024-12-18T00:12:43.8084935Z single element. 2024-12-18T00:12:43.8085112Z 2024-12-18T00:12:43.8085218Z .. warning:: 2024-12-18T00:12:43.8085570Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-12-18T00:12:43.8086032Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-12-18T00:12:43.8086323Z 2024-12-18T00:12:43.8086479Z In the future `torch.meshgrid` will transition to 2024-12-18T00:12:43.8086863Z `indexing='xy'` as the default. 2024-12-18T00:12:43.8087086Z 2024-12-18T00:12:43.8087302Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-12-18T00:12:43.8087855Z this issue with the goal of migrating to NumPy's behavior. 2024-12-18T00:12:43.8088169Z 2024-12-18T00:12:43.8088263Z .. seealso:: 2024-12-18T00:12:43.8088418Z 2024-12-18T00:12:43.8088607Z :func:`torch.cartesian_prod` has the same effect but it 2024-12-18T00:12:43.8089033Z collects the data in a tensor of vectors. 2024-12-18T00:12:43.8089283Z 2024-12-18T00:12:43.8089375Z Args: 2024-12-18T00:12:43.8089857Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-12-18T00:12:43.8090416Z treated as tensors of size :math:`(1,)` automatically 2024-12-18T00:12:43.8090708Z 2024-12-18T00:12:43.8090887Z indexing: (str, optional): the indexing mode, either "xy" 2024-12-18T00:12:43.8091358Z or "ij", defaults to "ij". See warning for future changes. 2024-12-18T00:12:43.8091640Z 2024-12-18T00:12:43.8091833Z If "xy" is selected, the first dimension corresponds 2024-12-18T00:12:43.8092272Z to the cardinality of the second input and the second 2024-12-18T00:12:43.8092714Z dimension corresponds to the cardinality of the first 2024-12-18T00:12:43.8093103Z input. 2024-12-18T00:12:43.8093271Z 2024-12-18T00:12:43.8093423Z If "ij" is selected, the dimensions are in the same 2024-12-18T00:12:43.8093824Z order as the cardinality of the inputs. 2024-12-18T00:12:43.8094068Z 2024-12-18T00:12:43.8094170Z Returns: 2024-12-18T00:12:43.8094483Z seq (sequence of Tensors): If the input has :math:`N` 2024-12-18T00:12:43.8094913Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-12-18T00:12:43.8095373Z output will also have :math:`N` tensors, where each tensor 2024-12-18T00:12:43.8095796Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-12-18T00:12:43.8096042Z 2024-12-18T00:12:43.8096140Z Example:: 2024-12-18T00:12:43.8096282Z 2024-12-18T00:12:43.8096408Z >>> x = torch.tensor([1, 2, 3]) 2024-12-18T00:12:43.8096800Z >>> y = torch.tensor([4, 5, 6]) 2024-12-18T00:12:43.8097061Z 2024-12-18T00:12:43.8097339Z Observe the element-wise pairings across the grid, (1, 4), 2024-12-18T00:12:43.8097783Z (1, 5), ..., (3, 6). This is the same thing as the 2024-12-18T00:12:43.8098148Z cartesian product. 2024-12-18T00:12:43.8098506Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-12-18T00:12:43.8098880Z >>> grid_x 2024-12-18T00:12:43.8099130Z tensor([[1, 1, 1], 2024-12-18T00:12:43.8099488Z [2, 2, 2], 2024-12-18T00:12:43.8099767Z [3, 3, 3]]) 2024-12-18T00:12:43.8100039Z >>> grid_y 2024-12-18T00:12:43.8100300Z tensor([[4, 5, 6], 2024-12-18T00:12:43.8100571Z [4, 5, 6], 2024-12-18T00:12:43.8100845Z [4, 5, 6]]) 2024-12-18T00:12:43.8101035Z 2024-12-18T00:12:43.8101207Z This correspondence can be seen when these grids are 2024-12-18T00:12:43.8101597Z stacked properly. 2024-12-18T00:12:43.8101991Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-12-18T00:12:43.8102452Z ... torch.cartesian_prod(x, y)) 2024-12-18T00:12:43.8102776Z True 2024-12-18T00:12:43.8102962Z 2024-12-18T00:12:43.8103146Z `torch.meshgrid` is commonly used to produce a grid for 2024-12-18T00:12:43.8103536Z plotting. 2024-12-18T00:12:43.8103836Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-12-18T00:12:43.8104219Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-12-18T00:12:43.8104592Z >>> import matplotlib.pyplot as plt 2024-12-18T00:12:43.8104961Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-12-18T00:12:43.8105327Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-12-18T00:12:43.8105698Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-12-18T00:12:43.8106077Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-12-18T00:12:43.8106434Z >>> ax = plt.axes(projection='3d') 2024-12-18T00:12:43.8106819Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-12-18T00:12:43.8107184Z >>> plt.show() 2024-12-18T00:12:43.8107353Z 2024-12-18T00:12:43.8107493Z .. image:: ../_static/img/meshgrid.png 2024-12-18T00:12:43.8107819Z :width: 512 2024-12-18T00:12:43.8107972Z 2024-12-18T00:12:43.8108069Z 2024-12-18T00:12:43.8108435Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8108812Z 2024-12-18T00:12:43.8109335Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py line=820. 2024-12-18T00:12:43.8110190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8110930Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-12-18T00:12:43.8111431Z 2024-12-18T00:12:43.8111581Z Returns the unique elements of the input tensor. 2024-12-18T00:12:43.8111855Z 2024-12-18T00:12:43.8112154Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-12-18T00:12:43.8112774Z this function also eliminates non-consecutive duplicate values. 2024-12-18T00:12:43.8113103Z 2024-12-18T00:12:43.8113332Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-12-18T00:12:43.8113972Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-12-18T00:12:43.8114657Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-12-18T00:12:43.8115227Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-12-18T00:12:43.8115532Z 2024-12-18T00:12:43.8115620Z Args: 2024-12-18T00:12:43.8115862Z input (Tensor): the input tensor 2024-12-18T00:12:43.8116303Z sorted (bool): Whether to sort the unique elements in ascending order 2024-12-18T00:12:43.8116797Z before returning as output. 2024-12-18T00:12:43.8117230Z return_inverse (bool): Whether to also return the indices for where 2024-12-18T00:12:43.8117771Z elements in the original input ended up in the returned unique list. 2024-12-18T00:12:43.8118330Z return_counts (bool): Whether to also return the counts for each unique 2024-12-18T00:12:43.8118770Z element. 2024-12-18T00:12:43.8119198Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-12-18T00:12:43.8119737Z unique of the flattened input is returned. Otherwise, each of the 2024-12-18T00:12:43.8120254Z tensors indexed by the given dimension is treated as one of the 2024-12-18T00:12:43.8120797Z elements to apply the unique operation upon. See examples for more 2024-12-18T00:12:43.8121242Z details. Default: ``None`` 2024-12-18T00:12:43.8121545Z 2024-12-18T00:12:43.8121639Z Returns: 2024-12-18T00:12:43.8122070Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-12-18T00:12:43.8122468Z 2024-12-18T00:12:43.8122738Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-12-18T00:12:43.8123186Z - **inverse_indices** (*Tensor*): (optional) if 2024-12-18T00:12:43.8123636Z :attr:`return_inverse` is True, there will be an additional 2024-12-18T00:12:43.8124154Z returned tensor (same shape as input) representing the indices 2024-12-18T00:12:43.8124679Z for where elements in the original input map to in the output; 2024-12-18T00:12:43.8125187Z otherwise, this function will only return a single tensor. 2024-12-18T00:12:43.8125616Z - **counts** (*Tensor*): (optional) if 2024-12-18T00:12:43.8126019Z :attr:`return_counts` is True, there will be an additional 2024-12-18T00:12:43.8126500Z returned tensor (same shape as output or output.size(dim), 2024-12-18T00:12:43.8127003Z if dim was specified) representing the number of occurrences 2024-12-18T00:12:43.8127432Z for each unique value or tensor. 2024-12-18T00:12:43.8127660Z 2024-12-18T00:12:43.8127768Z Example:: 2024-12-18T00:12:43.8127900Z 2024-12-18T00:12:43.8128123Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-12-18T00:12:43.8128538Z >>> output 2024-12-18T00:12:43.8128779Z tensor([1, 2, 3]) 2024-12-18T00:12:43.8128956Z 2024-12-18T00:12:43.8129084Z >>> output, inverse_indices = torch.unique( 2024-12-18T00:12:43.8129565Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-12-18T00:12:43.8130007Z >>> output 2024-12-18T00:12:43.8130237Z tensor([1, 2, 3]) 2024-12-18T00:12:43.8130506Z >>> inverse_indices 2024-12-18T00:12:43.8130781Z tensor([0, 2, 1, 2]) 2024-12-18T00:12:43.8130952Z 2024-12-18T00:12:43.8131095Z >>> output, inverse_indices = torch.unique( 2024-12-18T00:12:43.8131574Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-12-18T00:12:43.8132025Z >>> output 2024-12-18T00:12:43.8132267Z tensor([1, 2, 3]) 2024-12-18T00:12:43.8132533Z >>> inverse_indices 2024-12-18T00:12:43.8132807Z tensor([[0, 2], 2024-12-18T00:12:43.8133066Z [1, 2]]) 2024-12-18T00:12:43.8133228Z 2024-12-18T00:12:43.8133329Z >>> a = torch.tensor([ 2024-12-18T00:12:43.8133605Z ... [ 2024-12-18T00:12:43.8133848Z ... [1, 1, 0, 0], 2024-12-18T00:12:43.8134131Z ... [1, 1, 0, 0], 2024-12-18T00:12:43.8134414Z ... [0, 0, 1, 1], 2024-12-18T00:12:43.8134680Z ... ], 2024-12-18T00:12:43.8134915Z ... [ 2024-12-18T00:12:43.8135149Z ... [0, 0, 1, 1], 2024-12-18T00:12:43.8135430Z ... [0, 0, 1, 1], 2024-12-18T00:12:43.8135735Z ... [1, 1, 1, 1], 2024-12-18T00:12:43.8136007Z ... ], 2024-12-18T00:12:43.8136251Z ... [ 2024-12-18T00:12:43.8136488Z ... [1, 1, 0, 0], 2024-12-18T00:12:43.8136775Z ... [1, 1, 0, 0], 2024-12-18T00:12:43.8137039Z ... [0, 0, 1, 1], 2024-12-18T00:12:43.8137312Z ... ], 2024-12-18T00:12:43.8137543Z ... ]) 2024-12-18T00:12:43.8137715Z 2024-12-18T00:12:43.8137969Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-12-18T00:12:43.8138514Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-12-18T00:12:43.8138982Z >>> # each other, so one of them will be removed. 2024-12-18T00:12:43.8139324Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-12-18T00:12:43.8139630Z tensor(True) 2024-12-18T00:12:43.8139911Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-12-18T00:12:43.8140247Z >>> a_unique_dim0 2024-12-18T00:12:43.8140514Z tensor([[[0, 0, 1, 1], 2024-12-18T00:12:43.8140780Z [0, 0, 1, 1], 2024-12-18T00:12:43.8141049Z [1, 1, 1, 1]], 2024-12-18T00:12:43.8141353Z [[1, 1, 0, 0], 2024-12-18T00:12:43.8141629Z [1, 1, 0, 0], 2024-12-18T00:12:43.8141900Z [0, 0, 1, 1]]]) 2024-12-18T00:12:43.8142079Z 2024-12-18T00:12:43.8142296Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-12-18T00:12:43.8142732Z >>> # `a_unique_dim0`: 2024-12-18T00:12:43.8143045Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-12-18T00:12:43.8143375Z tensor(True) 2024-12-18T00:12:43.8143653Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-12-18T00:12:43.8143968Z tensor(True) 2024-12-18T00:12:43.8144129Z 2024-12-18T00:12:43.8144340Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-12-18T00:12:43.8144850Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-12-18T00:12:43.8145260Z >>> # them will be removed. 2024-12-18T00:12:43.8145573Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-12-18T00:12:43.8145868Z tensor(True) 2024-12-18T00:12:43.8146133Z >>> torch.unique(a, dim=1) 2024-12-18T00:12:43.8146437Z tensor([[[0, 0, 1, 1], 2024-12-18T00:12:43.8146711Z [1, 1, 0, 0]], 2024-12-18T00:12:43.8146988Z [[1, 1, 1, 1], 2024-12-18T00:12:43.8147250Z [0, 0, 1, 1]], 2024-12-18T00:12:43.8147520Z [[0, 0, 1, 1], 2024-12-18T00:12:43.8147789Z [1, 1, 0, 0]]]) 2024-12-18T00:12:43.8147965Z 2024-12-18T00:12:43.8148185Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-12-18T00:12:43.8148673Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-12-18T00:12:43.8149126Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-12-18T00:12:43.8149519Z >>> # sub-tensors will be removed. 2024-12-18T00:12:43.8149845Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-12-18T00:12:43.8150159Z tensor(True) 2024-12-18T00:12:43.8150414Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-12-18T00:12:43.8150719Z tensor(True) 2024-12-18T00:12:43.8150970Z >>> torch.unique(a, dim=2) 2024-12-18T00:12:43.8151265Z tensor([[[0, 1], 2024-12-18T00:12:43.8151528Z [0, 1], 2024-12-18T00:12:43.8151784Z [1, 0]], 2024-12-18T00:12:43.8152037Z [[1, 0], 2024-12-18T00:12:43.8152276Z [1, 0], 2024-12-18T00:12:43.8152529Z [1, 1]], 2024-12-18T00:12:43.8152780Z [[0, 1], 2024-12-18T00:12:43.8153029Z [0, 1], 2024-12-18T00:12:43.8153267Z [1, 0]]]) 2024-12-18T00:12:43.8153518Z 2024-12-18T00:12:43.8153890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8154298Z 2024-12-18T00:12:43.8266230Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py line=560. 2024-12-18T00:12:43.8267052Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8267428Z 2024-12-18T00:12:43.8267601Z Load a model from a github repo or a local directory. 2024-12-18T00:12:43.8267988Z 2024-12-18T00:12:43.8268275Z Note: Loading a model is the typical use case, but this can also be used to 2024-12-18T00:12:43.8268826Z for loading other objects such as tokenizers, loss functions, etc. 2024-12-18T00:12:43.8269162Z 2024-12-18T00:12:43.8269332Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2024-12-18T00:12:43.8269786Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2024-12-18T00:12:43.8270176Z ref (a tag or a branch). 2024-12-18T00:12:43.8270342Z 2024-12-18T00:12:43.8270523Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2024-12-18T00:12:43.8270920Z path to a local directory. 2024-12-18T00:12:43.8271095Z 2024-12-18T00:12:43.8271185Z Args: 2024-12-18T00:12:43.8271439Z repo_or_dir (str): If ``source`` is 'github', 2024-12-18T00:12:43.8272069Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2024-12-18T00:12:43.8272803Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2024-12-18T00:12:43.8273484Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2024-12-18T00:12:43.8274071Z If ``source`` is 'local' then it should be a path to a local directory. 2024-12-18T00:12:43.8274591Z model (str): the name of a callable (entrypoint) defined in the 2024-12-18T00:12:43.8274997Z repo/dir's ``hubconf.py``. 2024-12-18T00:12:43.8275410Z *args (optional): the corresponding args for callable ``model``. 2024-12-18T00:12:43.8275906Z source (str, optional): 'github' or 'local'. Specifies how 2024-12-18T00:12:43.8276527Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2024-12-18T00:12:43.8277043Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2024-12-18T00:12:43.8277614Z This parameter was introduced in v1.12 and helps ensuring that users 2024-12-18T00:12:43.8278078Z only run code from repos that they trust. 2024-12-18T00:12:43.8278335Z 2024-12-18T00:12:43.8278534Z - If ``False``, a prompt will ask the user whether the repo should 2024-12-18T00:12:43.8278950Z be trusted. 2024-12-18T00:12:43.8279314Z - If ``True``, the repo will be added to the trusted list and loaded 2024-12-18T00:12:43.8279763Z without requiring explicit confirmation. 2024-12-18T00:12:43.8280177Z - If ``"check"``, the repo will be checked against the list of 2024-12-18T00:12:43.8280683Z trusted repos in the cache. If it is not present in that list, the 2024-12-18T00:12:43.8281213Z behaviour will fall back onto the ``trust_repo=False`` option. 2024-12-18T00:12:43.8281777Z - If ``None``: this will raise a warning, inviting the user to set 2024-12-18T00:12:43.8282280Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2024-12-18T00:12:43.8282797Z is only present for backward compatibility and will be removed in 2024-12-18T00:12:43.8283199Z v2.0. 2024-12-18T00:12:43.8283354Z 2024-12-18T00:12:43.8283562Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2024-12-18T00:12:43.8284099Z force_reload (bool, optional): whether to force a fresh download of 2024-12-18T00:12:43.8284623Z the github repo unconditionally. Does not have any effect if 2024-12-18T00:12:43.8285063Z ``source = 'local'``. Default is ``False``. 2024-12-18T00:12:43.8285507Z verbose (bool, optional): If ``False``, mute messages about hitting 2024-12-18T00:12:43.8286024Z local caches. Note that the message about first download cannot be 2024-12-18T00:12:43.8286589Z muted. Does not have any effect if ``source = 'local'``. 2024-12-18T00:12:43.8286977Z Default is ``True``. 2024-12-18T00:12:43.8287457Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2024-12-18T00:12:43.8288152Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2024-12-18T00:12:43.8288884Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2024-12-18T00:12:43.8289452Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2024-12-18T00:12:43.8289965Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2024-12-18T00:12:43.8290306Z 2024-12-18T00:12:43.8290397Z Returns: 2024-12-18T00:12:43.8290719Z The output of the ``model`` callable when called with the given 2024-12-18T00:12:43.8291126Z ``*args`` and ``**kwargs``. 2024-12-18T00:12:43.8291309Z 2024-12-18T00:12:43.8291400Z Example: 2024-12-18T00:12:43.8291667Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:43.8292015Z >>> # from a github repo 2024-12-18T00:12:43.8292335Z >>> repo = "pytorch/vision" 2024-12-18T00:12:43.8292637Z >>> model = torch.hub.load( 2024-12-18T00:12:43.8293003Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2024-12-18T00:12:43.8293398Z ... ) 2024-12-18T00:12:43.8293630Z >>> # from a local directory 2024-12-18T00:12:43.8293958Z >>> path = "/some/local/path/pytorch/vision" 2024-12-18T00:12:43.8294299Z >>> # xdoctest: +SKIP 2024-12-18T00:12:43.8294702Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2024-12-18T00:12:43.8295074Z 2024-12-18T00:12:43.8295322Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8295694Z 2024-12-18T00:12:43.8296175Z 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. 2024-12-18T00:12:43.8297024Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8297555Z Download object at the given URL to a local path. 2024-12-18T00:12:43.8297813Z 2024-12-18T00:12:43.8297913Z Args: 2024-12-18T00:12:43.8298164Z url (str): URL of the object to download 2024-12-18T00:12:43.8298619Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2024-12-18T00:12:43.8299304Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2024-12-18T00:12:43.8299844Z Default: None 2024-12-18T00:12:43.8300263Z progress (bool, optional): whether or not to display a progress bar to stderr 2024-12-18T00:12:43.8300733Z Default: True 2024-12-18T00:12:43.8300897Z 2024-12-18T00:12:43.8300986Z Example: 2024-12-18T00:12:43.8301261Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:43.8301623Z >>> # xdoctest: +REQUIRES(POSIX) 2024-12-18T00:12:43.8301962Z >>> torch.hub.download_url_to_file( 2024-12-18T00:12:43.8302418Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2024-12-18T00:12:43.8302853Z ... "/tmp/temporary_file", 2024-12-18T00:12:43.8303155Z ... ) 2024-12-18T00:12:43.8303297Z 2024-12-18T00:12:43.8303385Z 2024-12-18T00:12:43.8303754Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8304117Z 2024-12-18T00:12:43.8304632Z 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. 2024-12-18T00:12:43.8305503Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8306036Z Loads the Torch serialized object at the given URL. 2024-12-18T00:12:43.8306293Z 2024-12-18T00:12:43.8306478Z If downloaded file is a zip file, it will be automatically 2024-12-18T00:12:43.8306918Z decompressed. 2024-12-18T00:12:43.8307072Z 2024-12-18T00:12:43.8307293Z If the object is already present in `model_dir`, it's deserialized and 2024-12-18T00:12:43.8307726Z returned. 2024-12-18T00:12:43.8308083Z The default value of ``model_dir`` is ``/checkpoints`` where 2024-12-18T00:12:43.8308612Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2024-12-18T00:12:43.8308946Z 2024-12-18T00:12:43.8309085Z Args: 2024-12-18T00:12:43.8309346Z url (str): URL of the object to download 2024-12-18T00:12:43.8309788Z model_dir (str, optional): directory in which to save the object 2024-12-18T00:12:43.8310456Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2024-12-18T00:12:43.8311184Z progress (bool, optional): whether or not to display a progress bar to stderr. 2024-12-18T00:12:43.8311667Z Default: True 2024-12-18T00:12:43.8312162Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2024-12-18T00:12:43.8312861Z ``filename-.ext`` where ```` is the first eight or more 2024-12-18T00:12:43.8313433Z digits of the SHA256 hash of the contents of the file. The hash is used to 2024-12-18T00:12:43.8313975Z ensure unique names and to verify the contents of the file. 2024-12-18T00:12:43.8314387Z Default: False 2024-12-18T00:12:43.8314884Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2024-12-18T00:12:43.8315657Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2024-12-18T00:12:43.8316359Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2024-12-18T00:12:43.8316741Z 2024-12-18T00:12:43.8316838Z Example: 2024-12-18T00:12:43.8317112Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:43.8317526Z >>> state_dict = torch.hub.load_state_dict_from_url( 2024-12-18T00:12:43.8318006Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2024-12-18T00:12:43.8318436Z ... ) 2024-12-18T00:12:43.8318579Z 2024-12-18T00:12:43.8318665Z 2024-12-18T00:12:43.8319041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8319407Z 2024-12-18T00:12:43.8347463Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=360. 2024-12-18T00:12:43.8348337Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:43.8348945Z Registers the function implementation as the fallback for the given key. 2024-12-18T00:12:43.8349295Z 2024-12-18T00:12:43.8349515Z This function only works for a library with global namespace ("_"). 2024-12-18T00:12:43.8349860Z 2024-12-18T00:12:43.8349968Z Args: 2024-12-18T00:12:43.8350391Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-12-18T00:12:43.8350909Z to register a fallthrough. 2024-12-18T00:12:43.8351463Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-12-18T00:12:43.8352074Z the dispatch key that the library was created with. 2024-12-18T00:12:43.8352719Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-12-18T00:12:43.8353532Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-12-18T00:12:43.8353977Z 2024-12-18T00:12:43.8354085Z Example:: 2024-12-18T00:12:43.8354352Z >>> my_lib = Library("_", "IMPL") 2024-12-18T00:12:43.8354721Z >>> def fallback_kernel(op, *args, **kwargs): 2024-12-18T00:12:43.8355164Z >>> # Handle all autocast ops generically 2024-12-18T00:12:43.8355490Z >>> # ... 2024-12-18T00:12:43.8355804Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-12-18T00:12:43.8356152Z 2024-12-18T00:12:43.8356903Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2024-12-18T00:12:43.8357765Z 2024-12-18T00:12:43.8357915Z my_lib.fallback(fallback_kernel, "Autocast") 2024-12-18T00:12:43.8358418Z ^ 2024-12-18T00:12:43.8412537Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=725. 2024-12-18T00:12:43.8413409Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:43.8413991Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-12-18T00:12:43.8414348Z 2024-12-18T00:12:43.8414536Z Also sometimes known as a "meta kernel", "abstract impl". 2024-12-18T00:12:43.8414837Z 2024-12-18T00:12:43.8415172Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-12-18T00:12:43.8415766Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-12-18T00:12:43.8416346Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-12-18T00:12:43.8416856Z what the properties of the output Tensors are. 2024-12-18T00:12:43.8417109Z 2024-12-18T00:12:43.8417348Z The FakeTensor implementation has the same signature as the operator. 2024-12-18T00:12:43.8417903Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-12-18T00:12:43.8418444Z implementation, assume that all Tensor inputs to the operator are 2024-12-18T00:12:43.8418992Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-12-18T00:12:43.8419519Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-12-18T00:12:43.8420077Z The FakeTensor implementation must consist of only PyTorch operations 2024-12-18T00:12:43.8420611Z (and may not directly access the storage or data of any input or 2024-12-18T00:12:43.8421023Z intermediate Tensors). 2024-12-18T00:12:43.8421216Z 2024-12-18T00:12:43.8421369Z This API may be used as a decorator (see examples). 2024-12-18T00:12:43.8421631Z 2024-12-18T00:12:43.8421787Z For a detailed guide on custom ops, please see 2024-12-18T00:12:43.8422383Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-12-18T00:12:43.8422930Z 2024-12-18T00:12:43.8423042Z Examples: 2024-12-18T00:12:43.8423269Z >>> import torch 2024-12-18T00:12:43.8423551Z >>> import numpy as np 2024-12-18T00:12:43.8423853Z >>> from torch import Tensor 2024-12-18T00:12:43.8424154Z >>> 2024-12-18T00:12:43.8424477Z >>> # Example 1: an operator without data-dependent output shape 2024-12-18T00:12:43.8424992Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-12-18T00:12:43.8425541Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-12-18T00:12:43.8426067Z >>> raise NotImplementedError("Implementation goes here") 2024-12-18T00:12:43.8426449Z >>> 2024-12-18T00:12:43.8426748Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-12-18T00:12:43.8427129Z >>> def _(x, weight, bias): 2024-12-18T00:12:43.8427436Z >>> assert x.dim() == 2 2024-12-18T00:12:43.8427748Z >>> assert weight.dim() == 2 2024-12-18T00:12:43.8428076Z >>> assert bias.dim() == 1 2024-12-18T00:12:43.8428414Z >>> assert x.shape[1] == weight.shape[1] 2024-12-18T00:12:43.8428773Z >>> assert weight.shape[0] == bias.shape[0] 2024-12-18T00:12:43.8429144Z >>> assert x.device == weight.device 2024-12-18T00:12:43.8429464Z >>> 2024-12-18T00:12:43.8429708Z >>> return (x @ weight.t()) + bias 2024-12-18T00:12:43.8430102Z >>> 2024-12-18T00:12:43.8430389Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-12-18T00:12:43.8430789Z >>> x = torch.randn(2, 3) 2024-12-18T00:12:43.8431105Z >>> w = torch.randn(3, 3) 2024-12-18T00:12:43.8431416Z >>> b = torch.randn(3) 2024-12-18T00:12:43.8431762Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-12-18T00:12:43.8432174Z >>> 2024-12-18T00:12:43.8432409Z >>> assert y.shape == (2, 3) 2024-12-18T00:12:43.8432708Z >>> 2024-12-18T00:12:43.8433012Z >>> # Example 2: an operator with data-dependent output shape 2024-12-18T00:12:43.8433527Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-12-18T00:12:43.8434003Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-12-18T00:12:43.8434347Z >>> x_np = x.numpy(force=True) 2024-12-18T00:12:43.8434707Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-12-18T00:12:43.8435099Z >>> return torch.tensor(res, device=x.device) 2024-12-18T00:12:43.8435436Z >>> 2024-12-18T00:12:43.8435794Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-12-18T00:12:43.8436160Z >>> def _(x): 2024-12-18T00:12:43.8436470Z >>> # Number of nonzero-elements is data-dependent. 2024-12-18T00:12:43.8436890Z >>> # Since we cannot peek at the data in an fake impl, 2024-12-18T00:12:43.8437328Z >>> # we use the ctx object to construct a new symint that 2024-12-18T00:12:43.8437736Z >>> # represents the data-dependent size. 2024-12-18T00:12:43.8438092Z >>> ctx = torch.library.get_ctx() 2024-12-18T00:12:43.8438437Z >>> nnz = ctx.new_dynamic_size() 2024-12-18T00:12:43.8438770Z >>> shape = [nnz, x.dim()] 2024-12-18T00:12:43.8439143Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-12-18T00:12:43.8439510Z >>> return result 2024-12-18T00:12:43.8439777Z >>> 2024-12-18T00:12:43.8440093Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-12-18T00:12:43.8440480Z >>> 2024-12-18T00:12:43.8440725Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-12-18T00:12:43.8441198Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-12-18T00:12:43.8441741Z >>> trace.print_readable() 2024-12-18T00:12:43.8442045Z >>> 2024-12-18T00:12:43.8442402Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-12-18T00:12:43.8442754Z 2024-12-18T00:12:43.8442845Z 2024-12-18T00:12:43.8443485Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2024-12-18T00:12:43.8444105Z 2024-12-18T00:12:43.8444209Z _._ = None 2024-12-18T00:12:43.8444412Z ^ 2024-12-18T00:12:43.8445066Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=846. 2024-12-18T00:12:43.8445931Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8446460Z Register a backward formula for this custom op. 2024-12-18T00:12:43.8446727Z 2024-12-18T00:12:43.8446938Z In order for an operator to work with autograd, you need to register 2024-12-18T00:12:43.8447366Z a backward formula: 2024-12-18T00:12:43.8447752Z 1. You must tell us how to compute gradients during the backward pass 2024-12-18T00:12:43.8448192Z by providing us a "backward" function. 2024-12-18T00:12:43.8448639Z 2. If you need any values from the forward to compute gradients, you can 2024-12-18T00:12:43.8449116Z use `setup_context` to save values for backward. 2024-12-18T00:12:43.8449385Z 2024-12-18T00:12:43.8449615Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2024-12-18T00:12:43.8450154Z - ``grads`` is one or more gradients. The number of gradients matches 2024-12-18T00:12:43.8450640Z the number of outputs of the operator. 2024-12-18T00:12:43.8451079Z The ``ctx`` object is `the same ctx object `_ used by 2024-12-18T00:12:43.8451664Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2024-12-18T00:12:43.8452194Z same as :meth:`torch.autograd.Function.backward`. 2024-12-18T00:12:43.8452468Z 2024-12-18T00:12:43.8452745Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2024-12-18T00:12:43.8453307Z Please save quantities needed for backward onto the ``ctx`` object via 2024-12-18T00:12:43.8453888Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2024-12-18T00:12:43.8454436Z or assigning them as attributes of ``ctx``. If your custom op has 2024-12-18T00:12:43.8454972Z kwarg-only arguments, we expect the signature of ``setup_context`` 2024-12-18T00:12:43.8455501Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2024-12-18T00:12:43.8455820Z 2024-12-18T00:12:43.8456037Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2024-12-18T00:12:43.8456629Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2024-12-18T00:12:43.8457213Z not depend on or mutate global state. If you need a non-traceable backward, 2024-12-18T00:12:43.8457775Z you can make it a separate custom_op that you call inside ``backward_fn``. 2024-12-18T00:12:43.8458353Z 2024-12-18T00:12:43.8458575Z If you need different autograd behavior on different devices, then we 2024-12-18T00:12:43.8459143Z recommend creating two different custom operators, one for each device 2024-12-18T00:12:43.8459715Z that needs different behavior, and switching between them at runtime. 2024-12-18T00:12:43.8460047Z 2024-12-18T00:12:43.8460157Z Examples: 2024-12-18T00:12:43.8460396Z >>> import torch 2024-12-18T00:12:43.8460666Z >>> import numpy as np 2024-12-18T00:12:43.8460972Z >>> from torch import Tensor 2024-12-18T00:12:43.8461269Z >>> 2024-12-18T00:12:43.8461613Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2024-12-18T00:12:43.8462059Z >>> def numpy_sin(x: Tensor) -> Tensor: 2024-12-18T00:12:43.8462386Z >>> x_np = x.cpu().numpy() 2024-12-18T00:12:43.8462701Z >>> y_np = np.sin(x_np) 2024-12-18T00:12:43.8463065Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-12-18T00:12:43.8463429Z >>> 2024-12-18T00:12:43.8463711Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2024-12-18T00:12:43.8464065Z >>> x, = inputs 2024-12-18T00:12:43.8464346Z >>> ctx.save_for_backward(x) 2024-12-18T00:12:43.8464653Z >>> 2024-12-18T00:12:43.8464886Z >>> def backward(ctx, grad): 2024-12-18T00:12:43.8465197Z >>> x, = ctx.saved_tensors 2024-12-18T00:12:43.8465507Z >>> return grad * x.cos() 2024-12-18T00:12:43.8465799Z >>> 2024-12-18T00:12:43.8466049Z >>> torch.library.register_autograd( 2024-12-18T00:12:43.8466465Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2024-12-18T00:12:43.8466852Z ... ) 2024-12-18T00:12:43.8467062Z >>> 2024-12-18T00:12:43.8467313Z >>> x = torch.randn(3, requires_grad=True) 2024-12-18T00:12:43.8467652Z >>> y = numpy_sin(x) 2024-12-18T00:12:43.8468008Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-12-18T00:12:43.8468429Z >>> assert torch.allclose(grad_x, x.cos()) 2024-12-18T00:12:43.8468744Z >>> 2024-12-18T00:12:43.8468989Z >>> # Example with a keyword-only arg 2024-12-18T00:12:43.8469548Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-12-18T00:12:43.8470276Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2024-12-18T00:12:43.8470683Z >>> x_np = x.cpu().numpy() 2024-12-18T00:12:43.8470985Z >>> y_np = x_np * val 2024-12-18T00:12:43.8471436Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-12-18T00:12:43.8471800Z >>> 2024-12-18T00:12:43.8472158Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2024-12-18T00:12:43.8472646Z >>> ctx.val = keyword_only_inputs["val"] 2024-12-18T00:12:43.8472986Z >>> 2024-12-18T00:12:43.8473208Z >>> def backward(ctx, grad): 2024-12-18T00:12:43.8473645Z >>> return grad * ctx.val 2024-12-18T00:12:43.8473942Z >>> 2024-12-18T00:12:43.8474192Z >>> torch.library.register_autograd( 2024-12-18T00:12:43.8474611Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2024-12-18T00:12:43.8474987Z ... ) 2024-12-18T00:12:43.8475213Z >>> 2024-12-18T00:12:43.8475468Z >>> x = torch.randn(3, requires_grad=True) 2024-12-18T00:12:43.8475829Z >>> y = numpy_mul(x, val=3.14) 2024-12-18T00:12:43.8476221Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-12-18T00:12:43.8476677Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2024-12-18T00:12:43.8476979Z 2024-12-18T00:12:43.8477065Z 2024-12-18T00:12:43.8477480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8477845Z 2024-12-18T00:12:43.8478345Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py line=1258. 2024-12-18T00:12:43.8479182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8479785Z Given an operator and some sample arguments, tests if the operator is 2024-12-18T00:12:43.8480229Z registered correctly. 2024-12-18T00:12:43.8480405Z 2024-12-18T00:12:43.8480616Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2024-12-18T00:12:43.8481197Z custom op, you specified metadata (e.g. mutability info) about the custom op 2024-12-18T00:12:43.8481871Z and these APIs require that the functions you pass them satisfy certain 2024-12-18T00:12:43.8482457Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2024-12-18T00:12:43.8482957Z ``opcheck`` tests these metadata and properties. 2024-12-18T00:12:43.8483214Z 2024-12-18T00:12:43.8483346Z Concretely, we test the following: 2024-12-18T00:12:43.8483564Z 2024-12-18T00:12:43.8483749Z - test_schema: If the schema matches the implementation of 2024-12-18T00:12:43.8484273Z the operator. For example: if the schema specifies a Tensor is mutated, 2024-12-18T00:12:43.8484828Z then we check the implementation mutates the Tensor. If the schema 2024-12-18T00:12:43.8485343Z specifies that we return a new Tensor, then we check that the 2024-12-18T00:12:43.8485869Z implementation returns a new Tensor (instead of an existing one or 2024-12-18T00:12:43.8486314Z a view of an existing one). 2024-12-18T00:12:43.8486708Z - test_autograd_registration: If the operator supports training 2024-12-18T00:12:43.8487221Z (autograd): we check that its autograd formula is registered via 2024-12-18T00:12:43.8487747Z torch.library.register_autograd or a manual registration to one 2024-12-18T00:12:43.8488280Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2024-12-18T00:12:43.8488735Z registrations may lead to undefined behavior. 2024-12-18T00:12:43.8489175Z - test_faketensor: If the operator has a FakeTensor kernel 2024-12-18T00:12:43.8489634Z (and if it is correct). The FakeTensor kernel is necessary ( 2024-12-18T00:12:43.8490142Z but not sufficient) for the operator to work with PyTorch compilation 2024-12-18T00:12:43.8490694Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2024-12-18T00:12:43.8491218Z (also sometimes known as a meta kernel) was registered for the 2024-12-18T00:12:43.8491720Z operator and that it is correct. This test takes the result of 2024-12-18T00:12:43.8492219Z running the operator on real tensors and the result of running 2024-12-18T00:12:43.8492763Z the operator on FakeTensors and checks that they have the same 2024-12-18T00:12:43.8493232Z Tensor metadata (sizes/strides/dtype/device/etc). 2024-12-18T00:12:43.8493703Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2024-12-18T00:12:43.8494198Z with PyTorch compilation APIs (torch.compile/export/FX). 2024-12-18T00:12:43.8494760Z This checks that the outputs (and gradients, if applicable) are the 2024-12-18T00:12:43.8495232Z same under eager-mode PyTorch and torch.compile. 2024-12-18T00:12:43.8495691Z This test is a superset of ``test_faketensor`` and is an e2e test; 2024-12-18T00:12:43.8496166Z other things it tests are that the operator supports 2024-12-18T00:12:43.8496664Z functionalization and that the backward pass (if it exists) also 2024-12-18T00:12:43.8497133Z supports FakeTensor and functionalization. 2024-12-18T00:12:43.8497377Z 2024-12-18T00:12:43.8497590Z For best results, please call ``opcheck`` multiple times with a 2024-12-18T00:12:43.8498074Z representative set of inputs. If your operator supports 2024-12-18T00:12:43.8498635Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2024-12-18T00:12:43.8499221Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2024-12-18T00:12:43.8499725Z use ``opcheck`` with inputs on all supported devices. 2024-12-18T00:12:43.8499992Z 2024-12-18T00:12:43.8500094Z Args: 2024-12-18T00:12:43.8500397Z op: The operator. Must either be a function decorated with 2024-12-18T00:12:43.8500910Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2024-12-18T00:12:43.8501457Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2024-12-18T00:12:43.8501906Z args: The args to the operator 2024-12-18T00:12:43.8502239Z kwargs: The kwargs to the operator 2024-12-18T00:12:43.8502645Z test_utils: Tests that we should run. Default: all of them. 2024-12-18T00:12:43.8503071Z Example: ("test_schema", "test_faketensor") 2024-12-18T00:12:43.8503515Z raise_exception: If we should raise an exception on the first 2024-12-18T00:12:43.8503999Z error. If False, we will return a dict with information 2024-12-18T00:12:43.8504401Z on if each test passed or not. 2024-12-18T00:12:43.8504621Z 2024-12-18T00:12:43.8504729Z .. warning:: 2024-12-18T00:12:43.8504869Z 2024-12-18T00:12:43.8505093Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2024-12-18T00:12:43.8505638Z opcheck tests if your usage of torch.library APIs is correct while 2024-12-18T00:12:43.8506179Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2024-12-18T00:12:43.8506733Z mathematically correct. Use both to test custom ops that support 2024-12-18T00:12:43.8507171Z gradient computation. 2024-12-18T00:12:43.8507360Z 2024-12-18T00:12:43.8507462Z Example: 2024-12-18T00:12:43.8507592Z 2024-12-18T00:12:43.8507731Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:43.8508184Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-12-18T00:12:43.8508642Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2024-12-18T00:12:43.8509013Z >>> x_np = x.numpy(force=True) 2024-12-18T00:12:43.8509337Z >>> z_np = x_np * y 2024-12-18T00:12:43.8509661Z >>> return torch.from_numpy(z_np).to(x.device) 2024-12-18T00:12:43.8509994Z >>> 2024-12-18T00:12:43.8510228Z >>> @numpy_mul.register_fake 2024-12-18T00:12:43.8510535Z >>> def _(x, y): 2024-12-18T00:12:43.8510815Z >>> return torch.empty_like(x) 2024-12-18T00:12:43.8511128Z >>> 2024-12-18T00:12:43.8511378Z >>> def setup_context(ctx, inputs, output): 2024-12-18T00:12:43.8511714Z >>> y, = inputs 2024-12-18T00:12:43.8512020Z >>> ctx.y = y 2024-12-18T00:12:43.8512306Z >>> 2024-12-18T00:12:43.8512574Z >>> def backward(ctx, grad): 2024-12-18T00:12:43.8512892Z >>> return grad * ctx.y, None 2024-12-18T00:12:43.8513201Z >>> 2024-12-18T00:12:43.8513551Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2024-12-18T00:12:43.8513978Z >>> 2024-12-18T00:12:43.8514197Z >>> sample_inputs = [ 2024-12-18T00:12:43.8514559Z >>> (torch.randn(3), 3.14), 2024-12-18T00:12:43.8514908Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2024-12-18T00:12:43.8515304Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2024-12-18T00:12:43.8515759Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2024-12-18T00:12:43.8516161Z >>> ] 2024-12-18T00:12:43.8516375Z >>> 2024-12-18T00:12:43.8516617Z >>> for args in sample_inputs: 2024-12-18T00:12:43.8516977Z >>> torch.library.opcheck(numpy_mul, args) 2024-12-18T00:12:43.8517223Z 2024-12-18T00:12:43.8517322Z 2024-12-18T00:12:43.8517693Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8518085Z 2024-12-18T00:12:43.8902891Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py line=1226. 2024-12-18T00:12:43.8903756Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:43.8904501Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2024-12-18T00:12:43.8904955Z 2024-12-18T00:12:43.8905136Z Loads an object saved with :func:`torch.save` from a file. 2024-12-18T00:12:43.8905441Z 2024-12-18T00:12:43.8905678Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2024-12-18T00:12:43.8906264Z which underlie tensors, specially. They are first deserialized on the 2024-12-18T00:12:43.8906828Z CPU and are then moved to the device they were saved from. If this fails 2024-12-18T00:12:43.8907395Z (e.g. because the run time system doesn't have certain devices), an exception 2024-12-18T00:12:43.8907976Z is raised. However, storages can be dynamically remapped to an alternative 2024-12-18T00:12:43.8908498Z set of devices using the :attr:`map_location` argument. 2024-12-18T00:12:43.8908782Z 2024-12-18T00:12:43.8909029Z If :attr:`map_location` is a callable, it will be called once for each serialized 2024-12-18T00:12:43.8909617Z storage with two arguments: storage and location. The storage argument 2024-12-18T00:12:43.8910189Z will be the initial deserialization of the storage, residing on the CPU. 2024-12-18T00:12:43.8910754Z Each serialized storage has a location tag associated with it which 2024-12-18T00:12:43.8911280Z identifies the device it was saved from, and this tag is the second 2024-12-18T00:12:43.8911857Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2024-12-18T00:12:43.8912452Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2024-12-18T00:12:43.8912998Z :attr:`map_location` should return either ``None`` or a storage. If 2024-12-18T00:12:43.8913568Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2024-12-18T00:12:43.8914186Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2024-12-18T00:12:43.8914783Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2024-12-18T00:12:43.8915148Z 2024-12-18T00:12:43.8915383Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2024-12-18T00:12:43.8915970Z a device tag, it indicates the location where all tensors should be loaded. 2024-12-18T00:12:43.8916324Z 2024-12-18T00:12:43.8916580Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2024-12-18T00:12:43.8917174Z appearing in the file (keys), to ones that specify where to put the 2024-12-18T00:12:43.8917750Z storages (values). 2024-12-18T00:12:43.8917910Z 2024-12-18T00:12:43.8918146Z User extensions can register their own location tags and tagging and 2024-12-18T00:12:43.8918742Z deserialization methods using :func:`torch.serialization.register_package`. 2024-12-18T00:12:43.8919131Z 2024-12-18T00:12:43.8919221Z Args: 2024-12-18T00:12:43.8919748Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2024-12-18T00:12:43.8920367Z or a string or os.PathLike object containing a file name 2024-12-18T00:12:43.8920976Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2024-12-18T00:12:43.8921585Z locations 2024-12-18T00:12:43.8921967Z pickle_module: module used for unpickling metadata and objects (has to 2024-12-18T00:12:43.8922488Z match the :attr:`pickle_module` used to serialize file) 2024-12-18T00:12:43.8922996Z weights_only: Indicates whether unpickler should be restricted to 2024-12-18T00:12:43.8923548Z loading only tensors, primitive types, dictionaries 2024-12-18T00:12:43.8924049Z and any types added via :func:`torch.serialization.add_safe_globals`. 2024-12-18T00:12:43.8924512Z See :ref:`weights-only` for more details. 2024-12-18T00:12:43.8925100Z mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory. 2024-12-18T00:12:43.8925887Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2024-12-18T00:12:43.8926684Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2024-12-18T00:12:43.8927475Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2024-12-18T00:12:43.8928155Z tensor storages from disk to CPU memory in the first step, ``f`` is mmaped. 2024-12-18T00:12:43.8928759Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2024-12-18T00:12:43.8929336Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2024-12-18T00:12:43.8929780Z :attr:`errors=...`. 2024-12-18T00:12:43.8929979Z 2024-12-18T00:12:43.8930080Z .. warning:: 2024-12-18T00:12:43.8930448Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2024-12-18T00:12:43.8930979Z uses ``pickle`` module implicitly, which is known to be insecure. 2024-12-18T00:12:43.8931564Z It is possible to construct malicious pickle data which will execute arbitrary code 2024-12-18T00:12:43.8932192Z during unpickling. Never load data that could have come from an untrusted 2024-12-18T00:12:43.8932840Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2024-12-18T00:12:43.8933262Z 2024-12-18T00:12:43.8933354Z .. note:: 2024-12-18T00:12:43.8933750Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2024-12-18T00:12:43.8934385Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2024-12-18T00:12:43.8935025Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2024-12-18T00:12:43.8935406Z 2024-12-18T00:12:43.8935498Z .. note:: 2024-12-18T00:12:43.8935880Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2024-12-18T00:12:43.8936464Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2024-12-18T00:12:43.8937007Z when loading files saved by Python 2 in Python 3. If this default 2024-12-18T00:12:43.8937590Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2024-12-18T00:12:43.8938201Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2024-12-18T00:12:43.8938840Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2024-12-18T00:12:43.8939435Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2024-12-18T00:12:43.8939788Z 2024-12-18T00:12:43.8939878Z Example: 2024-12-18T00:12:43.8940153Z >>> # xdoctest: +SKIP("undefined filepaths") 2024-12-18T00:12:43.8940600Z >>> torch.load("tensors.pt", weights_only=True) 2024-12-18T00:12:43.8940958Z # Load all tensors onto the CPU 2024-12-18T00:12:43.8941429Z >>> torch.load("tensors.pt", map_location=torch.device("cpu"), weights_only=True) 2024-12-18T00:12:43.8941944Z # Load all tensors onto the CPU, using a function 2024-12-18T00:12:43.8942302Z >>> torch.load( 2024-12-18T00:12:43.8942717Z ... "tensors.pt", map_location=lambda storage, loc: storage, weights_only=True 2024-12-18T00:12:43.8943164Z ... ) 2024-12-18T00:12:43.8943399Z # Load all tensors onto GPU 1 2024-12-18T00:12:43.8943709Z >>> torch.load( 2024-12-18T00:12:43.8943970Z ... "tensors.pt", 2024-12-18T00:12:43.8944348Z ... map_location=lambda storage, loc: storage.cuda(1), 2024-12-18T00:12:43.8944735Z ... weights_only=True, 2024-12-18T00:12:43.8945039Z ... ) # type: ignore[attr-defined] 2024-12-18T00:12:43.8945378Z # Map tensors from GPU 1 to GPU 0 2024-12-18T00:12:43.8945855Z >>> torch.load("tensors.pt", map_location={"cuda:1": "cuda:0"}, weights_only=True) 2024-12-18T00:12:43.8946358Z # Load tensor from io.BytesIO object 2024-12-18T00:12:43.8946844Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2024-12-18T00:12:43.8947325Z >>> with open("tensor.pt", "rb") as f: 2024-12-18T00:12:43.8947674Z ... buffer = io.BytesIO(f.read()) 2024-12-18T00:12:43.8948034Z >>> torch.load(buffer, weights_only=False) 2024-12-18T00:12:43.8948437Z # Load a module with 'ascii' encoding for unpickling 2024-12-18T00:12:43.8948949Z # Loading from a module setting weights_only=False, warning this can be unsafe 2024-12-18T00:12:43.8949511Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2024-12-18T00:12:43.8949916Z 2024-12-18T00:12:43.8950290Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:43.8950670Z 2024-12-18T00:12:43.9987333Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py line=21. 2024-12-18T00:12:43.9988248Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:43.9988817Z Check if there is an available :ref:`accelerator`. 2024-12-18T00:12:43.9989126Z 2024-12-18T00:12:43.9989221Z Returns: 2024-12-18T00:12:43.9989640Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2024-12-18T00:12:43.9990053Z 2024-12-18T00:12:43.9990160Z Example:: 2024-12-18T00:12:43.9990308Z 2024-12-18T00:12:43.9990583Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:43.9991070Z 2024-12-18T00:12:43.9991743Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2024-12-18T00:12:43.9992409Z 2024-12-18T00:12:43.9992681Z assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:43.9993147Z ^ 2024-12-18T00:12:44.0006052Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py line=110. 2024-12-18T00:12:44.0006973Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:44.0007587Z Wait for all kernels in all streams on the given device to complete. 2024-12-18T00:12:44.0008699Z 2024-12-18T00:12:44.0008809Z Args: 2024-12-18T00:12:44.0009271Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2024-12-18T00:12:44.0009944Z the current :ref:`accelerator` device type. If not given, 2024-12-18T00:12:44.0010521Z use :func:`torch.accelerator.current_device_idx` by default. 2024-12-18T00:12:44.0010928Z 2024-12-18T00:12:44.0011321Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2024-12-18T00:12:44.0011763Z 2024-12-18T00:12:44.0011860Z Example:: 2024-12-18T00:12:44.0011999Z 2024-12-18T00:12:44.0012158Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:44.0012699Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:44.0013250Z >>> start_event = torch.Event(enable_timing=True) 2024-12-18T00:12:44.0013667Z >>> end_event = torch.Event(enable_timing=True) 2024-12-18T00:12:44.0014037Z >>> start_event.record() 2024-12-18T00:12:44.0014537Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2024-12-18T00:12:44.0015017Z >>> sum = torch.sum(tensor) 2024-12-18T00:12:44.0015340Z >>> end_event.record() 2024-12-18T00:12:44.0015649Z >>> torch.accelerator.synchronize() 2024-12-18T00:12:44.0016075Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2024-12-18T00:12:44.0016451Z 2024-12-18T00:12:44.0017128Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2024-12-18T00:12:44.0017786Z 2024-12-18T00:12:44.0018062Z assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:44.0018546Z ^ 2024-12-18T00:12:44.0221971Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/__init__.py line=343. 2024-12-18T00:12:44.0222857Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:44.0223356Z Retrieves the CUDA runtime API module. 2024-12-18T00:12:44.0223589Z 2024-12-18T00:12:44.0223593Z 2024-12-18T00:12:44.0223843Z This function initializes the CUDA runtime environment if it is not already 2024-12-18T00:12:44.0224455Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-12-18T00:12:44.0225027Z runtime API module provides access to various CUDA runtime functions. 2024-12-18T00:12:44.0225378Z 2024-12-18T00:12:44.0225479Z Args: 2024-12-18T00:12:44.0225696Z ``None`` 2024-12-18T00:12:44.0225832Z 2024-12-18T00:12:44.0225920Z Returns: 2024-12-18T00:12:44.0226196Z module: The CUDA runtime API module (_cudart). 2024-12-18T00:12:44.0226459Z 2024-12-18T00:12:44.0226546Z Raises: 2024-12-18T00:12:44.0226913Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-12-18T00:12:44.0227623Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-12-18T00:12:44.0228086Z 2024-12-18T00:12:44.0228236Z Example of CUDA operations with profiling: 2024-12-18T00:12:44.0228574Z >>> import torch 2024-12-18T00:12:44.0228881Z >>> from torch.cuda import cudart, check_error 2024-12-18T00:12:44.0229234Z >>> import os 2024-12-18T00:12:44.0229479Z >>> 2024-12-18T00:12:44.0229713Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-12-18T00:12:44.0230030Z >>> 2024-12-18T00:12:44.0230296Z >>> def perform_cuda_operations_with_streams(): 2024-12-18T00:12:44.0230665Z >>> stream = torch.cuda.Stream() 2024-12-18T00:12:44.0231016Z >>> with torch.cuda.stream(stream): 2024-12-18T00:12:44.0231381Z >>> x = torch.randn(100, 100, device='cuda') 2024-12-18T00:12:44.0231915Z >>> y = torch.randn(100, 100, device='cuda') 2024-12-18T00:12:44.0232265Z >>> z = torch.mul(x, y) 2024-12-18T00:12:44.0232571Z >>> return z 2024-12-18T00:12:44.0232826Z >>> 2024-12-18T00:12:44.0233065Z >>> torch.cuda.synchronize() 2024-12-18T00:12:44.0233400Z >>> print("====== Start nsys profiling ======") 2024-12-18T00:12:44.0233786Z >>> check_error(cudart().cudaProfilerStart()) 2024-12-18T00:12:44.0234308Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-12-18T00:12:44.0234720Z >>> result = perform_cuda_operations_with_streams() 2024-12-18T00:12:44.0235121Z >>> print("CUDA operations completed.") 2024-12-18T00:12:44.0235524Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-12-18T00:12:44.0235939Z >>> print("====== End nsys profiling ======") 2024-12-18T00:12:44.0236189Z 2024-12-18T00:12:44.0236389Z To run this example and save the profiling information, execute: 2024-12-18T00:12:44.0237076Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-12-18T00:12:44.0237542Z 2024-12-18T00:12:44.0237846Z This command profiles the CUDA operations in the provided script and saves 2024-12-18T00:12:44.0238408Z the profiling information to a file named `trace_name.prof`. 2024-12-18T00:12:44.0238956Z The `--profile-from-start off` option ensures that profiling starts only 2024-12-18T00:12:44.0239462Z after the `cudaProfilerStart` call in the script. 2024-12-18T00:12:44.0239953Z The `--csv` and `--print-summary` options format the profiling output as a 2024-12-18T00:12:44.0240431Z CSV file and print a summary, respectively. 2024-12-18T00:12:44.0240927Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-12-18T00:12:44.0241526Z overwrite of the output file if it already exists. 2024-12-18T00:12:44.0241873Z 2024-12-18T00:12:44.0242637Z 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)) 2024-12-18T00:12:44.0243388Z 2024-12-18T00:12:44.0268369Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-12-18T00:12:44.0269080Z ^ 2024-12-18T00:12:44.0347970Z 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. 2024-12-18T00:12:44.0348858Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:44.0349245Z 2024-12-18T00:12:44.0349495Z Append the given callback function to this ``Future``, which will be run 2024-12-18T00:12:44.0350047Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-12-18T00:12:44.0350577Z the same ``Future``, but the order in which they will be executed cannot 2024-12-18T00:12:44.0351085Z be guaranteed (to enforce a certain order consider chaining: 2024-12-18T00:12:44.0351581Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-12-18T00:12:44.0352108Z is the reference to this ``Future``. The callback function can use the 2024-12-18T00:12:44.0352633Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-12-18T00:12:44.0353184Z already completed, the given callback will be run immediately inline. 2024-12-18T00:12:44.0353520Z 2024-12-18T00:12:44.0353731Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-12-18T00:12:44.0354267Z callback might be invoked while the async kernels that are populating 2024-12-18T00:12:44.0354819Z those tensors haven't yet finished executing on the device. However, the 2024-12-18T00:12:44.0355371Z callback will be invoked with some dedicated streams set as current 2024-12-18T00:12:44.0355900Z (fetched from a global pool) which will be synchronized with those 2024-12-18T00:12:44.0356449Z kernels. Hence any operation performed by the callback on these tensors 2024-12-18T00:12:44.0357170Z will be scheduled on the device after the kernels complete. In other 2024-12-18T00:12:44.0357786Z words, as long as the callback doesn't switch streams, it can safely 2024-12-18T00:12:44.0358821Z manipulate the result without any additional synchronization. This is 2024-12-18T00:12:44.0359476Z similar to the non-blocking behavior of :meth:`wait`. 2024-12-18T00:12:44.0359843Z 2024-12-18T00:12:44.0360107Z Similarly, if the callback returns a value that contains tensors that 2024-12-18T00:12:44.0360638Z reside on a GPU, it can do so even if the kernels that are producing 2024-12-18T00:12:44.0361169Z these tensors are still running on the device, as long as the callback 2024-12-18T00:12:44.0361780Z didn't change streams during its execution. If one wants to change 2024-12-18T00:12:44.0362295Z streams, one must be careful to re-synchronize them with the original 2024-12-18T00:12:44.0362845Z streams, that is, those that were current when the callback was invoked. 2024-12-18T00:12:44.0363188Z 2024-12-18T00:12:44.0363274Z Args: 2024-12-18T00:12:44.0363608Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-12-18T00:12:44.0364540Z the only argument. 2024-12-18T00:12:44.0364768Z 2024-12-18T00:12:44.0364874Z Returns: 2024-12-18T00:12:44.0365158Z A new ``Future`` object that holds the return value of the 2024-12-18T00:12:44.0365623Z ``callback`` and will be marked as completed when the given 2024-12-18T00:12:44.0366022Z ``callback`` finishes. 2024-12-18T00:12:44.0366196Z 2024-12-18T00:12:44.0366398Z .. note:: Note that if the callback function throws, either 2024-12-18T00:12:44.0366901Z through the original future being completed with an exception and 2024-12-18T00:12:44.0367414Z calling ``fut.wait()``, or through other code in the callback, the 2024-12-18T00:12:44.0367934Z future returned by ``then`` will be marked appropriately with the 2024-12-18T00:12:44.0368460Z encountered error. However, if this callback later completes 2024-12-18T00:12:44.0368993Z additional futures, those futures are not marked as completed with 2024-12-18T00:12:44.0369537Z an error and the user is responsible for handling completion/waiting 2024-12-18T00:12:44.0369972Z on those futures independently. 2024-12-18T00:12:44.0370180Z 2024-12-18T00:12:44.0370273Z Example:: 2024-12-18T00:12:44.0370555Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-12-18T00:12:44.0370919Z >>> def callback(fut): 2024-12-18T00:12:44.0371247Z ... print(f"RPC return value is {fut.wait()}.") 2024-12-18T00:12:44.0371612Z >>> fut = torch.futures.Future() 2024-12-18T00:12:44.0371984Z >>> # The inserted callback will print the return value when 2024-12-18T00:12:44.0372395Z >>> # receiving the response from "worker1" 2024-12-18T00:12:44.0372732Z >>> cb_fut = fut.then(callback) 2024-12-18T00:12:44.0373034Z >>> chain_cb_fut = cb_fut.then( 2024-12-18T00:12:44.0373397Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-12-18T00:12:44.0373739Z ... ) 2024-12-18T00:12:44.0373972Z >>> fut.set_result(5) 2024-12-18T00:12:44.0374250Z RPC return value is 5. 2024-12-18T00:12:44.0374535Z Chained cb done. None 2024-12-18T00:12:44.0374703Z 2024-12-18T00:12:44.0374967Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:44.0375334Z 2024-12-18T00:12:44.0375900Z 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. 2024-12-18T00:12:44.0376791Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:44.0377164Z 2024-12-18T00:12:44.0377369Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-12-18T00:12:44.0377911Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-12-18T00:12:44.0378356Z cannot be marked completed twice. 2024-12-18T00:12:44.0378643Z 2024-12-18T00:12:44.0378879Z If the result contains tensors that reside on GPUs, this method can be 2024-12-18T00:12:44.0379424Z called even if the asynchronous kernels that are populating those 2024-12-18T00:12:44.0379969Z tensors haven't yet completed running on the device, provided that the 2024-12-18T00:12:44.0380519Z streams on which those kernels were enqueued are set as the current ones 2024-12-18T00:12:44.0381103Z when this method is called. Put simply, it's safe to call this method 2024-12-18T00:12:44.0381681Z immediately after launching those kernels, without any additional 2024-12-18T00:12:44.0382238Z synchronization, as long as one doesn't change streams in between. This 2024-12-18T00:12:44.0382804Z method will record events on all the relevant current streams and will 2024-12-18T00:12:44.0383330Z use them to ensure proper scheduling for all the consumers of this 2024-12-18T00:12:44.0383735Z ``Future``. 2024-12-18T00:12:44.0383874Z 2024-12-18T00:12:44.0383958Z Args: 2024-12-18T00:12:44.0384244Z result (object): the result object of this ``Future``. 2024-12-18T00:12:44.0384514Z 2024-12-18T00:12:44.0384619Z Example:: 2024-12-18T00:12:44.0384932Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-12-18T00:12:44.0385282Z >>> import threading 2024-12-18T00:12:44.0385553Z >>> import time 2024-12-18T00:12:44.0385817Z >>> def slow_set_future(fut, value): 2024-12-18T00:12:44.0386143Z ... time.sleep(0.5) 2024-12-18T00:12:44.0386422Z ... fut.set_result(value) 2024-12-18T00:12:44.0386736Z >>> fut = torch.futures.Future() 2024-12-18T00:12:44.0387054Z >>> t = threading.Thread( 2024-12-18T00:12:44.0387349Z ... target=slow_set_future, 2024-12-18T00:12:44.0387670Z ... args=(fut, torch.ones(2) * 3) 2024-12-18T00:12:44.0387971Z ... ) 2024-12-18T00:12:44.0388188Z >>> t.start() 2024-12-18T00:12:44.0388432Z >>> print(fut.wait()) 2024-12-18T00:12:44.0388703Z tensor([3., 3.]) 2024-12-18T00:12:44.0388950Z >>> t.join() 2024-12-18T00:12:44.0389090Z 2024-12-18T00:12:44.0389345Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:44.0389728Z 2024-12-18T00:12:44.0458193Z msg = Cannot scrape callname=_compile_shader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/mps/__init__.py line=144. 2024-12-18T00:12:44.0459083Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:44.0459700Z Compiles compute shader from source and allows one to invoke kernels 2024-12-18T00:12:44.0460190Z defined there from the comfort of Python runtime 2024-12-18T00:12:44.0460570Z Example:: 2024-12-18T00:12:44.0460704Z 2024-12-18T00:12:44.0460850Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2024-12-18T00:12:44.0461201Z >>> lib = torch.mps._compile_shader( 2024-12-18T00:12:44.0461814Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2024-12-18T00:12:44.0462400Z ... ) 2024-12-18T00:12:44.0462658Z >>> x = torch.zeros(16, device="mps") 2024-12-18T00:12:44.0462993Z >>> lib.full(x, 3.14) 2024-12-18T00:12:44.0463253Z 2024-12-18T00:12:44.0463618Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:44.0463993Z 2024-12-18T00:12:44.0635738Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py line=202. 2024-12-18T00:12:44.0636702Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:44.0637248Z Return the sum of each row of the given sparse tensor. 2024-12-18T00:12:44.0637514Z 2024-12-18T00:12:44.0637752Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-12-18T00:12:44.0638298Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-12-18T00:12:44.0638809Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-12-18T00:12:44.0639444Z returns a dense tensor instead of a sparse tensor. 2024-12-18T00:12:44.0639714Z 2024-12-18T00:12:44.0639977Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-12-18T00:12:44.0640574Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-12-18T00:12:44.0640877Z 2024-12-18T00:12:44.0641111Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-12-18T00:12:44.0641857Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-12-18T00:12:44.0642207Z 2024-12-18T00:12:44.0642310Z Args: 2024-12-18T00:12:44.0642554Z input (Tensor): the input sparse tensor 2024-12-18T00:12:44.0643081Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-12-18T00:12:44.0643571Z over all dims. 2024-12-18T00:12:44.0644002Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-12-18T00:12:44.0644500Z Default: dtype of :attr:`input`. 2024-12-18T00:12:44.0644721Z 2024-12-18T00:12:44.0644833Z Example:: 2024-12-18T00:12:44.0644963Z 2024-12-18T00:12:44.0645066Z >>> nnz = 3 2024-12-18T00:12:44.0645345Z >>> dims = [5, 5, 2, 3] 2024-12-18T00:12:44.0645692Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-12-18T00:12:44.0646156Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-12-18T00:12:44.0646584Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-12-18T00:12:44.0646930Z >>> size = torch.Size(dims) 2024-12-18T00:12:44.0647269Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:44.0647658Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-12-18T00:12:44.0647990Z >>> S 2024-12-18T00:12:44.0648237Z tensor(indices=tensor([[2, 0, 3], 2024-12-18T00:12:44.0648564Z [2, 4, 1]]), 2024-12-18T00:12:44.0648898Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-12-18T00:12:44.0649268Z [ 0.3411, 0.0918, -0.2312]], 2024-12-18T00:12:44.0649503Z 2024-12-18T00:12:44.0649618Z [[ 0.5348, 0.0634, -2.0494], 2024-12-18T00:12:44.0649958Z [-0.7125, -1.0646, 2.1844]], 2024-12-18T00:12:44.0650177Z 2024-12-18T00:12:44.0650300Z [[ 0.1276, 0.1874, -0.6334], 2024-12-18T00:12:44.0650647Z [-1.9682, -0.5340, 0.7483]]]), 2024-12-18T00:12:44.0651014Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-12-18T00:12:44.0651281Z 2024-12-18T00:12:44.0651473Z # when sum over only part of sparse_dims, return a sparse tensor 2024-12-18T00:12:44.0651893Z >>> torch.sparse.sum(S, [1, 3]) 2024-12-18T00:12:44.0652225Z tensor(indices=tensor([[0, 2, 3]]), 2024-12-18T00:12:44.0652565Z values=tensor([[-1.4512, 0.4073], 2024-12-18T00:12:44.0652886Z [-0.8901, 0.2017], 2024-12-18T00:12:44.0653208Z [-0.3183, -1.7539]]), 2024-12-18T00:12:44.0653568Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-12-18T00:12:44.0653826Z 2024-12-18T00:12:44.0653979Z # when sum over all sparse dim, return a dense tensor 2024-12-18T00:12:44.0654358Z # with summed dims squeezed 2024-12-18T00:12:44.0654689Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-12-18T00:12:44.0655002Z tensor([-2.6596, -1.1450]) 2024-12-18T00:12:44.0655285Z 2024-12-18T00:12:44.0655656Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:44.0656019Z 2024-12-18T00:12:44.6159869Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py line=40. 2024-12-18T00:12:44.6160741Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:44.6161357Z 2024-12-18T00:12:44.6161992Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-12-18T00:12:44.6162519Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-12-18T00:12:44.6163062Z pushes the map into PyTorch operations called by ``func``, effectively 2024-12-18T00:12:44.6163517Z vectorizing those operations. 2024-12-18T00:12:44.6163712Z 2024-12-18T00:12:44.6164004Z vmap is useful for handling batch dimensions: one can write a function 2024-12-18T00:12:44.6164628Z ``func`` that runs on examples and then lift it to a function that can 2024-12-18T00:12:44.6165148Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-12-18T00:12:44.6165654Z compute batched gradients when composed with autograd. 2024-12-18T00:12:44.6165945Z 2024-12-18T00:12:44.6166052Z .. note:: 2024-12-18T00:12:44.6166361Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-12-18T00:12:44.6166808Z convenience. Use whichever one you'd like. 2024-12-18T00:12:44.6167060Z 2024-12-18T00:12:44.6167148Z Args: 2024-12-18T00:12:44.6167485Z func (function): A Python function that takes one or more arguments. 2024-12-18T00:12:44.6167980Z Must return one or more Tensors. 2024-12-18T00:12:44.6168394Z in_dims (int or nested structure): Specifies which dimension of the 2024-12-18T00:12:44.6168893Z inputs should be mapped over. ``in_dims`` should have a 2024-12-18T00:12:44.6169385Z structure like the inputs. If the ``in_dim`` for a particular 2024-12-18T00:12:44.6169883Z input is None, then that indicates there is no map dimension. 2024-12-18T00:12:44.6170282Z Default: 0. 2024-12-18T00:12:44.6170630Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-12-18T00:12:44.6171129Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-12-18T00:12:44.6171600Z it should have one element per output. Default: 0. 2024-12-18T00:12:44.6172059Z randomness (str): Specifies whether the randomness in this 2024-12-18T00:12:44.6172570Z vmap should be the same or different across batches. If 'different', 2024-12-18T00:12:44.6173105Z the randomness for each batch will be different. If 'same', the 2024-12-18T00:12:44.6173626Z randomness will be the same across batches. If 'error', any calls to 2024-12-18T00:12:44.6174169Z random functions will error. Default: 'error'. WARNING: this flag 2024-12-18T00:12:44.6174705Z only applies to random PyTorch operations and does not apply to 2024-12-18T00:12:44.6175162Z Python's random module or numpy randomness. 2024-12-18T00:12:44.6175639Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-12-18T00:12:44.6176241Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-12-18T00:12:44.6176833Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-12-18T00:12:44.6177471Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-12-18T00:12:44.6177850Z 2024-12-18T00:12:44.6177938Z Returns: 2024-12-18T00:12:44.6178258Z Returns a new "batched" function. It takes the same inputs as 2024-12-18T00:12:44.6178743Z ``func``, except each input has an extra dimension at the index 2024-12-18T00:12:44.6179232Z specified by ``in_dims``. It takes returns the same outputs as 2024-12-18T00:12:44.6179729Z ``func``, except each output has an extra dimension at the index 2024-12-18T00:12:44.6180126Z specified by ``out_dims``. 2024-12-18T00:12:44.6180325Z 2024-12-18T00:12:44.6180419Z .. warning: 2024-12-18T00:12:44.6180752Z :func:`vmap` works best with functional-style code. Please do not 2024-12-18T00:12:44.6181252Z perform any side-effects in ``func``, with the exception of 2024-12-18T00:12:44.6181789Z in-place PyTorch operations. Examples of side-effects include mutating 2024-12-18T00:12:44.6182371Z Python data structures and assigning values to variables not captured 2024-12-18T00:12:44.6182833Z in ``func``. 2024-12-18T00:12:44.6182986Z 2024-12-18T00:12:44.6183218Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-12-18T00:12:44.6183790Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-12-18T00:12:44.6184346Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-12-18T00:12:44.6184673Z 2024-12-18T00:12:44.6184922Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:44.6185389Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-12-18T00:12:44.6185822Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-12-18T00:12:44.6186166Z >>> batched_dot(x, y) 2024-12-18T00:12:44.6186348Z 2024-12-18T00:12:44.6186576Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-12-18T00:12:44.6187027Z model authoring experience. 2024-12-18T00:12:44.6187209Z 2024-12-18T00:12:44.6187335Z >>> batch_size, feature_size = 3, 5 2024-12-18T00:12:44.6187720Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-12-18T00:12:44.6188107Z >>> 2024-12-18T00:12:44.6188370Z >>> def model(feature_vec): 2024-12-18T00:12:44.6188699Z >>> # Very simple linear model with activation 2024-12-18T00:12:44.6189076Z >>> return feature_vec.dot(weights).relu() 2024-12-18T00:12:44.6189391Z >>> 2024-12-18T00:12:44.6189670Z >>> examples = torch.randn(batch_size, feature_size) 2024-12-18T00:12:44.6190052Z >>> result = torch.vmap(model)(examples) 2024-12-18T00:12:44.6190288Z 2024-12-18T00:12:44.6190538Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-12-18T00:12:44.6191138Z or impossible to batch. One example is higher-order gradient computation. 2024-12-18T00:12:44.6191718Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-12-18T00:12:44.6192275Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-12-18T00:12:44.6192866Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-12-18T00:12:44.6193461Z we can vectorize the whole computation, computing the Jacobian in a single 2024-12-18T00:12:44.6193923Z call to ``autograd.grad``. 2024-12-18T00:12:44.6194098Z 2024-12-18T00:12:44.6194200Z >>> # Setup 2024-12-18T00:12:44.6194417Z >>> N = 5 2024-12-18T00:12:44.6194651Z >>> f = lambda x: x ** 2 2024-12-18T00:12:44.6194962Z >>> x = torch.randn(N, requires_grad=True) 2024-12-18T00:12:44.6195287Z >>> y = f(x) 2024-12-18T00:12:44.6195526Z >>> I_N = torch.eye(N) 2024-12-18T00:12:44.6195774Z >>> 2024-12-18T00:12:44.6196002Z >>> # Sequential approach 2024-12-18T00:12:44.6196406Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-12-18T00:12:44.6196851Z >>> for v in I_N.unbind()] 2024-12-18T00:12:44.6197198Z >>> jacobian = torch.stack(jacobian_rows) 2024-12-18T00:12:44.6197503Z >>> 2024-12-18T00:12:44.6197742Z >>> # vectorized gradient computation 2024-12-18T00:12:44.6198066Z >>> def get_vjp(v): 2024-12-18T00:12:44.6198354Z >>> return torch.autograd.grad(y, x, v) 2024-12-18T00:12:44.6198711Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-12-18T00:12:44.6198933Z 2024-12-18T00:12:44.6199195Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-12-18T00:12:44.6199584Z 2024-12-18T00:12:44.6199733Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:44.6200260Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-12-18T00:12:44.6200787Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-12-18T00:12:44.6201169Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-12-18T00:12:44.6201484Z 2024-12-18T00:12:44.6201740Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-12-18T00:12:44.6202254Z the dimension that each inputs are batched along as 2024-12-18T00:12:44.6202566Z 2024-12-18T00:12:44.6202708Z >>> torch.dot # [N], [N] -> [] 2024-12-18T00:12:44.6203187Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-12-18T00:12:44.6203652Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-12-18T00:12:44.6204130Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-12-18T00:12:44.6204512Z 2024-12-18T00:12:44.6204814Z If there are multiple inputs each of which is batched along different dimensions, 2024-12-18T00:12:44.6205394Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-12-18T00:12:44.6205705Z 2024-12-18T00:12:44.6205848Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:44.6206344Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-12-18T00:12:44.6206816Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-12-18T00:12:44.6207297Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-12-18T00:12:44.6207650Z 2024-12-18T00:12:44.6207937Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-12-18T00:12:44.6208408Z matching the shape of the input: 2024-12-18T00:12:44.6208609Z 2024-12-18T00:12:44.6208752Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-12-18T00:12:44.6209138Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-12-18T00:12:44.6209477Z >>> input = {'x': x, 'y': y} 2024-12-18T00:12:44.6209855Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-12-18T00:12:44.6210257Z >>> batched_dot(input) 2024-12-18T00:12:44.6210430Z 2024-12-18T00:12:44.6210700Z By default, the output is batched along the first dimension. However, it can be batched 2024-12-18T00:12:44.6211220Z along any dimension by using ``out_dims`` 2024-12-18T00:12:44.6211463Z 2024-12-18T00:12:44.6211564Z >>> f = lambda x: x ** 2 2024-12-18T00:12:44.6211857Z >>> x = torch.randn(2, 5) 2024-12-18T00:12:44.6212176Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-12-18T00:12:44.6212521Z >>> batched_pow(x) # [5, 2] 2024-12-18T00:12:44.6212708Z 2024-12-18T00:12:44.6212994Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-12-18T00:12:44.6213492Z accept kwargs 2024-12-18T00:12:44.6213641Z 2024-12-18T00:12:44.6213741Z >>> x = torch.randn([2, 5]) 2024-12-18T00:12:44.6214036Z >>> def fn(x, scale=4.): 2024-12-18T00:12:44.6214314Z >>> return x * scale 2024-12-18T00:12:44.6214563Z >>> 2024-12-18T00:12:44.6214791Z >>> batched_pow = torch.vmap(fn) 2024-12-18T00:12:44.6215143Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-12-18T00:12:44.6215618Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-12-18T00:12:44.6215949Z 2024-12-18T00:12:44.6216061Z .. note:: 2024-12-18T00:12:44.6216394Z vmap does not provide general autobatching or handle variable-length 2024-12-18T00:12:44.6216835Z sequences out of the box. 2024-12-18T00:12:44.6217032Z 2024-12-18T00:12:44.6217286Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:44.6217657Z 2024-12-18T00:12:46.0167413Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=20. 2024-12-18T00:12:46.0168326Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0168967Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2024-12-18T00:12:46.0169351Z 2024-12-18T00:12:46.0169561Z This is a more structured way of using triton kernels with PyTorch. 2024-12-18T00:12:46.0170144Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2024-12-18T00:12:46.0170774Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2024-12-18T00:12:46.0171249Z that is simpler; 2024-12-18T00:12:46.0171833Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2024-12-18T00:12:46.0172453Z want to create an operator that behaves like PyTorch built-in operators. 2024-12-18T00:12:46.0173017Z For example, you may use a ``torch.library`` wrapper API to define the 2024-12-18T00:12:46.0173590Z behavior of the triton kernel when passed a tensor subclass or under 2024-12-18T00:12:46.0174547Z a TorchDispatchMode. 2024-12-18T00:12:46.0174728Z 2024-12-18T00:12:46.0174982Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2024-12-18T00:12:46.0175459Z when the implementation 2024-12-18T00:12:46.0175868Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2024-12-18T00:12:46.0176375Z custom operators as opaque (:func:`torch.compile` and 2024-12-18T00:12:46.0176893Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2024-12-18T00:12:46.0177470Z makes the implementation visible to these subsystems, allowing them 2024-12-18T00:12:46.0177910Z to optimize the triton kernel(s). 2024-12-18T00:12:46.0178134Z 2024-12-18T00:12:46.0178373Z Note that ``fn`` must only consist of calls to PyTorch-understood 2024-12-18T00:12:46.0178909Z operators and triton kernels. Any triton kernels called inside ``fn`` 2024-12-18T00:12:46.0179452Z must be wrapped in a call to :func:`torch._library.wrap_triton``. 2024-12-18T00:12:46.0179764Z 2024-12-18T00:12:46.0179864Z Args: 2024-12-18T00:12:46.0180242Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2024-12-18T00:12:46.0180785Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2024-12-18T00:12:46.0181289Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2024-12-18T00:12:46.0181813Z To avoid name collisions, please use your project name as the namespace; 2024-12-18T00:12:46.0182383Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2024-12-18T00:12:46.0182988Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2024-12-18T00:12:46.0183620Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2024-12-18T00:12:46.0184228Z it pessimistically assumes that all inputs to the operator are being mutated. 2024-12-18T00:12:46.0184803Z schema (None | str): A schema string for the operator. If None 2024-12-18T00:12:46.0185317Z (recommended) we'll infer a schema for the operator from its type 2024-12-18T00:12:46.0185855Z annotations. We recommend letting us infer a schema unless you 2024-12-18T00:12:46.0186295Z have a specific reason not to. 2024-12-18T00:12:46.0186678Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2024-12-18T00:12:46.0186937Z 2024-12-18T00:12:46.0187029Z Example:: 2024-12-18T00:12:46.0187177Z 2024-12-18T00:12:46.0187322Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:46.0187674Z >>> import torch 2024-12-18T00:12:46.0188003Z >>> from torch._library import triton_op, wrap_triton 2024-12-18T00:12:46.0188365Z >>> 2024-12-18T00:12:46.0188583Z >>> import triton 2024-12-18T00:12:46.0188879Z >>> from triton import language as tl 2024-12-18T00:12:46.0189199Z >>> 2024-12-18T00:12:46.0189426Z >>> @triton.jit 2024-12-18T00:12:46.0189690Z >>> def add_kernel( 2024-12-18T00:12:46.0189948Z >>> in_ptr0, 2024-12-18T00:12:46.0190221Z >>> in_ptr1, 2024-12-18T00:12:46.0190480Z >>> out_ptr, 2024-12-18T00:12:46.0190741Z >>> n_elements, 2024-12-18T00:12:46.0191037Z >>> BLOCK_SIZE: "tl.constexpr", 2024-12-18T00:12:46.0191390Z >>> ): 2024-12-18T00:12:46.0191650Z >>> pid = tl.program_id(axis=0) 2024-12-18T00:12:46.0191983Z >>> block_start = pid * BLOCK_SIZE 2024-12-18T00:12:46.0192419Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-12-18T00:12:46.0192802Z >>> mask = offsets < n_elements 2024-12-18T00:12:46.0193162Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-12-18T00:12:46.0193544Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-12-18T00:12:46.0193877Z >>> output = x + y 2024-12-18T00:12:46.0194216Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-12-18T00:12:46.0194634Z >>> 2024-12-18T00:12:46.0194900Z >>> @triton_op("mylib::add", mutates_args={}) 2024-12-18T00:12:46.0195335Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2024-12-18T00:12:46.0195745Z >>> output = torch.empty_like(x) 2024-12-18T00:12:46.0196094Z >>> n_elements = output.numel() 2024-12-18T00:12:46.0196409Z >>> 2024-12-18T00:12:46.0196638Z >>> def grid(meta): 2024-12-18T00:12:46.0196999Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-12-18T00:12:46.0197368Z >>> 2024-12-18T00:12:46.0197681Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2024-12-18T00:12:46.0198205Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2024-12-18T00:12:46.0198609Z >>> return output 2024-12-18T00:12:46.0198879Z >>> 2024-12-18T00:12:46.0199092Z >>> @torch.compile 2024-12-18T00:12:46.0199364Z >>> def f(x, y): 2024-12-18T00:12:46.0199634Z >>> return add(x, y) 2024-12-18T00:12:46.0199913Z >>> 2024-12-18T00:12:46.0200158Z >>> x = torch.randn(3, device="cuda") 2024-12-18T00:12:46.0200492Z >>> y = torch.randn(3, device="cuda") 2024-12-18T00:12:46.0200813Z >>> 2024-12-18T00:12:46.0201033Z >>> z = f(x, y) 2024-12-18T00:12:46.0201314Z >>> assert torch.allclose(z, x + y) 2024-12-18T00:12:46.0201640Z 2024-12-18T00:12:46.0201738Z 2024-12-18T00:12:46.0202097Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0202479Z 2024-12-18T00:12:46.0202973Z msg = Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=183. 2024-12-18T00:12:46.0203838Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0204406Z Allows capture of a triton kernel into a graph via make_fx or 2024-12-18T00:12:46.0204827Z non-strict ``torch.export``. 2024-12-18T00:12:46.0205023Z 2024-12-18T00:12:46.0205221Z These technologies perform Dispatcher-based tracing (via 2024-12-18T00:12:46.0205704Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2024-12-18T00:12:46.0206223Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2024-12-18T00:12:46.0206652Z can actually be traced into a graph. 2024-12-18T00:12:46.0206886Z 2024-12-18T00:12:46.0207096Z Please use this API together with :func:`torch.library.triton_op`. 2024-12-18T00:12:46.0207419Z 2024-12-18T00:12:46.0207523Z Examples: 2024-12-18T00:12:46.0207656Z 2024-12-18T00:12:46.0207769Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.0208046Z >>> import torch 2024-12-18T00:12:46.0208313Z >>> import triton 2024-12-18T00:12:46.0208607Z >>> from triton import language as tl 2024-12-18T00:12:46.0209023Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-12-18T00:12:46.0209454Z >>> from torch.library import wrap_triton 2024-12-18T00:12:46.0209773Z >>> 2024-12-18T00:12:46.0209996Z >>> @triton.jit 2024-12-18T00:12:46.0210259Z >>> def add_kernel( 2024-12-18T00:12:46.0210530Z >>> in_ptr0, 2024-12-18T00:12:46.0210789Z >>> in_ptr1, 2024-12-18T00:12:46.0211032Z >>> out_ptr, 2024-12-18T00:12:46.0211289Z >>> n_elements, 2024-12-18T00:12:46.0211578Z >>> BLOCK_SIZE: "tl.constexpr", 2024-12-18T00:12:46.0211892Z >>> ): 2024-12-18T00:12:46.0212205Z >>> pid = tl.program_id(axis=0) 2024-12-18T00:12:46.0212539Z >>> block_start = pid * BLOCK_SIZE 2024-12-18T00:12:46.0212925Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-12-18T00:12:46.0213308Z >>> mask = offsets < n_elements 2024-12-18T00:12:46.0213663Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-12-18T00:12:46.0214068Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-12-18T00:12:46.0214437Z >>> output = x + y 2024-12-18T00:12:46.0214771Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-12-18T00:12:46.0215120Z >>> 2024-12-18T00:12:46.0215349Z >>> def add(x, y): 2024-12-18T00:12:46.0215641Z >>> output = torch.empty_like(x) 2024-12-18T00:12:46.0215970Z >>> n_elements = output.numel() 2024-12-18T00:12:46.0216290Z >>> 2024-12-18T00:12:46.0216519Z >>> def grid_fn(meta): 2024-12-18T00:12:46.0216895Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-12-18T00:12:46.0217274Z >>> 2024-12-18T00:12:46.0217643Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2024-12-18T00:12:46.0218061Z >>> return output 2024-12-18T00:12:46.0218341Z >>> 2024-12-18T00:12:46.0218589Z >>> x = torch.randn(3, device="cuda") 2024-12-18T00:12:46.0218938Z >>> y = torch.randn(3, device="cuda") 2024-12-18T00:12:46.0219260Z >>> gm = make_fx(add)(x, y) 2024-12-18T00:12:46.0219567Z >>> print(gm.code) 2024-12-18T00:12:46.0219860Z >>> # def forward(self, x_1, y_1): 2024-12-18T00:12:46.0220322Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2024-12-18T00:12:46.0220923Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2024-12-18T00:12:46.0221413Z >>> # kernel_idx = 0, constant_args_idx = 0, 2024-12-18T00:12:46.0221765Z >>> # grid = [(1, 1, 1)], kwargs = { 2024-12-18T00:12:46.0222149Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2024-12-18T00:12:46.0222552Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2024-12-18T00:12:46.0222891Z >>> # }) 2024-12-18T00:12:46.0223164Z >>> # return empty_like 2024-12-18T00:12:46.0223363Z 2024-12-18T00:12:46.0223448Z 2024-12-18T00:12:46.0223823Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0224196Z 2024-12-18T00:12:46.0899398Z 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. 2024-12-18T00:12:46.0900352Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0900767Z 2024-12-18T00:12:46.0901172Z Raises an AssertionError if two items are not equal up to desired 2024-12-18T00:12:46.0901805Z precision. 2024-12-18T00:12:46.0901985Z 2024-12-18T00:12:46.0902191Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:46.0902676Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:46.0903156Z instead of this function for more consistent floating point 2024-12-18T00:12:46.0903563Z comparisons. 2024-12-18T00:12:46.0903735Z 2024-12-18T00:12:46.0903956Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-12-18T00:12:46.0904300Z 2024-12-18T00:12:46.0904463Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-12-18T00:12:46.0904731Z 2024-12-18T00:12:46.0904970Z That is a looser test than originally documented, but agrees with what the 2024-12-18T00:12:46.0905843Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-12-18T00:12:46.0906682Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-12-18T00:12:46.0907167Z delegates to assert_array_almost_equal 2024-12-18T00:12:46.0907590Z 2024-12-18T00:12:46.0907684Z Parameters 2024-12-18T00:12:46.0907913Z ---------- 2024-12-18T00:12:46.0908148Z actual : array_like 2024-12-18T00:12:46.0908395Z The object to check. 2024-12-18T00:12:46.0908667Z desired : array_like 2024-12-18T00:12:46.0908929Z The expected object. 2024-12-18T00:12:46.0909201Z decimal : int, optional 2024-12-18T00:12:46.0909490Z Desired precision, default is 7. 2024-12-18T00:12:46.0910178Z err_msg : str, optional 2024-12-18T00:12:46.0910610Z The error message to be printed in case of failure. 2024-12-18T00:12:46.0910982Z verbose : bool, optional 2024-12-18T00:12:46.0911361Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:46.0911676Z 2024-12-18T00:12:46.0911777Z Raises 2024-12-18T00:12:46.0911971Z ------ 2024-12-18T00:12:46.0912194Z AssertionError 2024-12-18T00:12:46.0912539Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:46.0912841Z 2024-12-18T00:12:46.0912946Z See Also 2024-12-18T00:12:46.0913159Z -------- 2024-12-18T00:12:46.0913508Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:46.0914046Z relative and/or absolute precision. 2024-12-18T00:12:46.0914497Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:46.0914826Z 2024-12-18T00:12:46.0914915Z Examples 2024-12-18T00:12:46.0915128Z -------- 2024-12-18T00:12:46.0915414Z >>> from torch._numpy.testing import assert_almost_equal 2024-12-18T00:12:46.0915827Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-12-18T00:12:46.0916254Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-12-18T00:12:46.0916659Z Traceback (most recent call last): 2024-12-18T00:12:46.0916961Z ... 2024-12-18T00:12:46.0917179Z AssertionError: 2024-12-18T00:12:46.0917439Z Arrays are not almost equal to 10 decimals 2024-12-18T00:12:46.0917773Z ACTUAL: 2.3333333333333 2024-12-18T00:12:46.0918036Z DESIRED: 2.33333334 2024-12-18T00:12:46.0918190Z 2024-12-18T00:12:46.0918352Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-12-18T00:12:46.0918743Z ... np.array([1.0,2.33333334]), decimal=9) 2024-12-18T00:12:46.0919087Z Traceback (most recent call last): 2024-12-18T00:12:46.0919387Z ... 2024-12-18T00:12:46.0919605Z AssertionError: 2024-12-18T00:12:46.0919875Z Arrays are not almost equal to 9 decimals 2024-12-18T00:12:46.0920188Z 2024-12-18T00:12:46.0920433Z Mismatched elements: 1 / 2 (50%) 2024-12-18T00:12:46.0920762Z Max absolute difference: 6.666699636781459e-09 2024-12-18T00:12:46.0921138Z Max relative difference: 2.8571569790287484e-09 2024-12-18T00:12:46.0921611Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-12-18T00:12:46.0922006Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-12-18T00:12:46.0922250Z 2024-12-18T00:12:46.0922254Z 2024-12-18T00:12:46.0922506Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0922886Z 2024-12-18T00:12:46.0923438Z 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. 2024-12-18T00:12:46.0924364Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0924752Z 2024-12-18T00:12:46.0924974Z Raises an AssertionError if two items are not equal up to significant 2024-12-18T00:12:46.0925405Z digits. 2024-12-18T00:12:46.0925528Z 2024-12-18T00:12:46.0925720Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:46.0926175Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:46.0926658Z instead of this function for more consistent floating point 2024-12-18T00:12:46.0927058Z comparisons. 2024-12-18T00:12:46.0927228Z 2024-12-18T00:12:46.0927411Z Given two numbers, check that they are approximately equal. 2024-12-18T00:12:46.0927935Z Approximately equal is defined as the number of significant digits 2024-12-18T00:12:46.0928411Z that agree. 2024-12-18T00:12:46.0928537Z 2024-12-18T00:12:46.0928628Z Parameters 2024-12-18T00:12:46.0928852Z ---------- 2024-12-18T00:12:46.0929082Z actual : scalar 2024-12-18T00:12:46.0929328Z The object to check. 2024-12-18T00:12:46.0929595Z desired : scalar 2024-12-18T00:12:46.0929831Z The expected object. 2024-12-18T00:12:46.0930109Z significant : int, optional 2024-12-18T00:12:46.0930907Z Desired precision, default is 7. 2024-12-18T00:12:46.0931236Z err_msg : str, optional 2024-12-18T00:12:46.0931555Z The error message to be printed in case of failure. 2024-12-18T00:12:46.0931912Z verbose : bool, optional 2024-12-18T00:12:46.0932293Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:46.0932622Z 2024-12-18T00:12:46.0932707Z Raises 2024-12-18T00:12:46.0932926Z ------ 2024-12-18T00:12:46.0933146Z AssertionError 2024-12-18T00:12:46.0933473Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:46.0933792Z 2024-12-18T00:12:46.0933879Z See Also 2024-12-18T00:12:46.0934091Z -------- 2024-12-18T00:12:46.0934485Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:46.0934977Z relative and/or absolute precision. 2024-12-18T00:12:46.0935423Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:46.0935757Z 2024-12-18T00:12:46.0935850Z Examples 2024-12-18T00:12:46.0936070Z -------- 2024-12-18T00:12:46.0936467Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-12-18T00:12:46.0937111Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-12-18T00:12:46.0937587Z ... significant=8) 2024-12-18T00:12:46.0938067Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-12-18T00:12:46.0938553Z ... significant=8) 2024-12-18T00:12:46.0938903Z Traceback (most recent call last): 2024-12-18T00:12:46.0939209Z ... 2024-12-18T00:12:46.0939419Z AssertionError: 2024-12-18T00:12:46.0939702Z Items are not equal to 8 significant digits: 2024-12-18T00:12:46.0940043Z ACTUAL: 1.234567e-21 2024-12-18T00:12:46.0940307Z DESIRED: 1.2345672e-21 2024-12-18T00:12:46.0940467Z 2024-12-18T00:12:46.0940640Z the evaluated condition that raises the exception is 2024-12-18T00:12:46.0940909Z 2024-12-18T00:12:46.0941094Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-12-18T00:12:46.0941450Z True 2024-12-18T00:12:46.0941574Z 2024-12-18T00:12:46.0941579Z 2024-12-18T00:12:46.0941828Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0942201Z 2024-12-18T00:12:46.0942801Z 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. 2024-12-18T00:12:46.0943726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0944101Z 2024-12-18T00:12:46.0944308Z Raises an AssertionError if two array_like objects are not equal. 2024-12-18T00:12:46.0944637Z 2024-12-18T00:12:46.0944841Z Given two array_like objects, check that the shape is equal and all 2024-12-18T00:12:46.0945386Z elements of these objects are equal (but see the Notes for the special 2024-12-18T00:12:46.0945922Z handling of a scalar). An exception is raised at shape mismatch or 2024-12-18T00:12:46.0946463Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-12-18T00:12:46.0947020Z are compared like numbers, no assertion is raised if both objects have 2024-12-18T00:12:46.0947451Z NaNs in the same positions. 2024-12-18T00:12:46.0947644Z 2024-12-18T00:12:46.0947870Z The usual caution for verifying equality with floating point numbers is 2024-12-18T00:12:46.0948305Z advised. 2024-12-18T00:12:46.0948426Z 2024-12-18T00:12:46.0948529Z Parameters 2024-12-18T00:12:46.0948750Z ---------- 2024-12-18T00:12:46.0948998Z x : array_like 2024-12-18T00:12:46.0949246Z The actual object to check. 2024-12-18T00:12:46.0949534Z y : array_like 2024-12-18T00:12:46.0949783Z The desired, expected object. 2024-12-18T00:12:46.0950090Z err_msg : str, optional 2024-12-18T00:12:46.0950398Z The error message to be printed in case of failure. 2024-12-18T00:12:46.0950768Z verbose : bool, optional 2024-12-18T00:12:46.0951176Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:46.0951636Z strict : bool, optional 2024-12-18T00:12:46.0952005Z If True, raise an AssertionError when either the shape or the data 2024-12-18T00:12:46.0952487Z type of the array_like objects does not match. The special 2024-12-18T00:12:46.0952987Z handling for scalars mentioned in the Notes section is disabled. 2024-12-18T00:12:46.0953311Z 2024-12-18T00:12:46.0953398Z Raises 2024-12-18T00:12:46.0953612Z ------ 2024-12-18T00:12:46.0953834Z AssertionError 2024-12-18T00:12:46.0954098Z If actual and desired objects are not equal. 2024-12-18T00:12:46.0954351Z 2024-12-18T00:12:46.0954437Z See Also 2024-12-18T00:12:46.0954648Z -------- 2024-12-18T00:12:46.0955037Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:46.0955522Z relative and/or absolute precision. 2024-12-18T00:12:46.0955960Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:46.0956291Z 2024-12-18T00:12:46.0956378Z Notes 2024-12-18T00:12:46.0956585Z ----- 2024-12-18T00:12:46.0956895Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-12-18T00:12:46.0957417Z function checks that each element of the array_like object is equal to 2024-12-18T00:12:46.0958178Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-12-18T00:12:46.0958520Z 2024-12-18T00:12:46.0958609Z Examples 2024-12-18T00:12:46.0958828Z -------- 2024-12-18T00:12:46.0959089Z The first assert does not raise an exception: 2024-12-18T00:12:46.0959335Z 2024-12-18T00:12:46.0959503Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:46.0959897Z ... [np.exp(0),2.33333, np.nan]) 2024-12-18T00:12:46.0960132Z 2024-12-18T00:12:46.0960359Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-12-18T00:12:46.0960818Z functions for these cases instead: 2024-12-18T00:12:46.0961034Z 2024-12-18T00:12:46.0961183Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-12-18T00:12:46.0961632Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-12-18T00:12:46.0961993Z ... rtol=1e-10, atol=0) 2024-12-18T00:12:46.0962217Z 2024-12-18T00:12:46.0962452Z As mentioned in the Notes section, `assert_array_equal` has special 2024-12-18T00:12:46.0963316Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-12-18T00:12:46.0963844Z 2024-12-18T00:12:46.0963956Z >>> x = np.full((2, 5), fill_value=3) 2024-12-18T00:12:46.0964289Z >>> np.testing.assert_array_equal(x, 3) 2024-12-18T00:12:46.0964521Z 2024-12-18T00:12:46.0964737Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-12-18T00:12:46.0965161Z array: 2024-12-18T00:12:46.0965285Z 2024-12-18T00:12:46.0965449Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-12-18T00:12:46.0965816Z Traceback (most recent call last): 2024-12-18T00:12:46.0966115Z ... 2024-12-18T00:12:46.0966341Z AssertionError: 2024-12-18T00:12:46.0966588Z Arrays are not equal 2024-12-18T00:12:46.0966841Z 2024-12-18T00:12:46.0967060Z (shapes (2, 5), () mismatch) 2024-12-18T00:12:46.0967350Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-12-18T00:12:46.0967647Z [3, 3, 3, 3, 3]]) 2024-12-18T00:12:46.0967911Z y: torch.ndarray(3) 2024-12-18T00:12:46.0968064Z 2024-12-18T00:12:46.0968289Z The `strict` parameter also ensures that the array data types match: 2024-12-18T00:12:46.0968613Z 2024-12-18T00:12:46.0968712Z >>> x = np.array([2, 2, 2]) 2024-12-18T00:12:46.0969130Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-12-18T00:12:46.0969529Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-12-18T00:12:46.0969914Z Traceback (most recent call last): 2024-12-18T00:12:46.0970220Z ... 2024-12-18T00:12:46.0970431Z AssertionError: 2024-12-18T00:12:46.0970680Z Arrays are not equal 2024-12-18T00:12:46.0970940Z 2024-12-18T00:12:46.0971222Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-12-18T00:12:46.0971698Z x: torch.ndarray([2, 2, 2]) 2024-12-18T00:12:46.0971982Z y: torch.ndarray([2., 2., 2.]) 2024-12-18T00:12:46.0972179Z 2024-12-18T00:12:46.0972431Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0972808Z 2024-12-18T00:12:46.0973387Z 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. 2024-12-18T00:12:46.0974337Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0974713Z 2024-12-18T00:12:46.0974945Z Raises an AssertionError if two objects are not equal up to desired 2024-12-18T00:12:46.0975372Z precision. 2024-12-18T00:12:46.0975497Z 2024-12-18T00:12:46.0975718Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:46.0976189Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:46.0976681Z instead of this function for more consistent floating point 2024-12-18T00:12:46.0977088Z comparisons. 2024-12-18T00:12:46.0977245Z 2024-12-18T00:12:46.0977493Z The test verifies identical shapes and that the elements of ``actual`` and 2024-12-18T00:12:46.0977947Z ``desired`` satisfy. 2024-12-18T00:12:46.0978099Z 2024-12-18T00:12:46.0978232Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-12-18T00:12:46.0978484Z 2024-12-18T00:12:46.0978710Z That is a looser test than originally documented, but agrees with what the 2024-12-18T00:12:46.0979293Z actual implementation did up to rounding vagaries. An exception is raised 2024-12-18T00:12:46.0979890Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-12-18T00:12:46.0980460Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-12-18T00:12:46.0980918Z objects have NaNs in the same positions. 2024-12-18T00:12:46.0981143Z 2024-12-18T00:12:46.0981234Z Parameters 2024-12-18T00:12:46.0981453Z ---------- 2024-12-18T00:12:46.0981679Z x : array_like 2024-12-18T00:12:46.0981928Z The actual object to check. 2024-12-18T00:12:46.0982216Z y : array_like 2024-12-18T00:12:46.0982457Z The desired, expected object. 2024-12-18T00:12:46.0982767Z decimal : int, optional 2024-12-18T00:12:46.0983050Z Desired precision, default is 6. 2024-12-18T00:12:46.0983365Z err_msg : str, optional 2024-12-18T00:12:46.0983671Z The error message to be printed in case of failure. 2024-12-18T00:12:46.0984037Z verbose : bool, optional 2024-12-18T00:12:46.0984416Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:46.0984743Z 2024-12-18T00:12:46.0984827Z Raises 2024-12-18T00:12:46.0985039Z ------ 2024-12-18T00:12:46.0985245Z AssertionError 2024-12-18T00:12:46.0985588Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:46.0985902Z 2024-12-18T00:12:46.0985987Z See Also 2024-12-18T00:12:46.0986200Z -------- 2024-12-18T00:12:46.0986564Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:46.0987051Z relative and/or absolute precision. 2024-12-18T00:12:46.0987491Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:46.0987822Z 2024-12-18T00:12:46.0987909Z Examples 2024-12-18T00:12:46.0988125Z -------- 2024-12-18T00:12:46.0988378Z the first assert does not raise an exception 2024-12-18T00:12:46.0988611Z 2024-12-18T00:12:46.0988793Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-12-18T00:12:46.0989184Z ... [1.0,2.333,np.nan]) 2024-12-18T00:12:46.0989541Z 2024-12-18T00:12:46.0989719Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:46.0990148Z ... [1.0,2.33339,np.nan], decimal=5) 2024-12-18T00:12:46.0990519Z Traceback (most recent call last): 2024-12-18T00:12:46.0990822Z ... 2024-12-18T00:12:46.0991030Z AssertionError: 2024-12-18T00:12:46.0991303Z Arrays are not almost equal to 5 decimals 2024-12-18T00:12:46.0991686Z 2024-12-18T00:12:46.0991931Z Mismatched elements: 1 / 3 (33.3%) 2024-12-18T00:12:46.0992266Z Max absolute difference: 5.999999999994898e-05 2024-12-18T00:12:46.0992628Z Max relative difference: 2.5713661239633743e-05 2024-12-18T00:12:46.0993039Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-12-18T00:12:46.0993480Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-12-18T00:12:46.0993762Z 2024-12-18T00:12:46.0993937Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:46.0994355Z ... [1.0,2.33333, 5], decimal=5) 2024-12-18T00:12:46.0994715Z Traceback (most recent call last): 2024-12-18T00:12:46.0995001Z ... 2024-12-18T00:12:46.0995245Z AssertionError: 2024-12-18T00:12:46.0995517Z Arrays are not almost equal to 5 decimals 2024-12-18T00:12:46.0995838Z 2024-12-18T00:12:46.0996077Z x and y nan location mismatch: 2024-12-18T00:12:46.0996429Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-12-18T00:12:46.0996861Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-12-18T00:12:46.0997135Z 2024-12-18T00:12:46.0997139Z 2024-12-18T00:12:46.0997389Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.0997763Z 2024-12-18T00:12:46.0998360Z 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. 2024-12-18T00:12:46.0999302Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.0999898Z Context manager that resets warning registry for catching warnings 2024-12-18T00:12:46.1000226Z 2024-12-18T00:12:46.1000482Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-12-18T00:12:46.1001068Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-12-18T00:12:46.1001730Z it impossible to retrigger the warning in this module, whatever you put in 2024-12-18T00:12:46.1002332Z the warnings filters. This context manager accepts a sequence of `modules` 2024-12-18T00:12:46.1002831Z as a keyword argument to its constructor and: 2024-12-18T00:12:46.1003074Z 2024-12-18T00:12:46.1003311Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-12-18T00:12:46.1003749Z on entry; 2024-12-18T00:12:46.1004070Z * resets ``__warningregistry__`` to its previous state on exit. 2024-12-18T00:12:46.1004380Z 2024-12-18T00:12:46.1004604Z This makes it possible to trigger any warning afresh inside the context 2024-12-18T00:12:46.1005126Z manager without disturbing the state of warnings outside. 2024-12-18T00:12:46.1005444Z 2024-12-18T00:12:46.1005680Z For compatibility with Python 3.0, please consider all arguments to be 2024-12-18T00:12:46.1006131Z keyword-only. 2024-12-18T00:12:46.1006279Z 2024-12-18T00:12:46.1006386Z Parameters 2024-12-18T00:12:46.1006615Z ---------- 2024-12-18T00:12:46.1006862Z record : bool, optional 2024-12-18T00:12:46.1007236Z Specifies whether warnings should be captured by a custom 2024-12-18T00:12:46.1007777Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-12-18T00:12:46.1008344Z returned by the context manager. Otherwise None is returned by the 2024-12-18T00:12:46.1008886Z context manager. The objects appended to the list are arguments whose 2024-12-18T00:12:46.1009407Z attributes mirror the arguments to ``showwarning()``. 2024-12-18T00:12:46.1009851Z modules : sequence, optional 2024-12-18T00:12:46.1010280Z Sequence of modules for which to reset warnings registry on entry and 2024-12-18T00:12:46.1010819Z restore on exit. To work correctly, all 'ignore' filters should 2024-12-18T00:12:46.1011250Z filter by one of these modules. 2024-12-18T00:12:46.1011465Z 2024-12-18T00:12:46.1011556Z Examples 2024-12-18T00:12:46.1011823Z -------- 2024-12-18T00:12:46.1012083Z >>> import warnings 2024-12-18T00:12:46.1012442Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-12-18T00:12:46.1012876Z ... modules=[np.core.fromnumeric]): 2024-12-18T00:12:46.1013231Z ... warnings.simplefilter('always') 2024-12-18T00:12:46.1013690Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-12-18T00:12:46.1014216Z ... # do something that raises a warning but ignore those in 2024-12-18T00:12:46.1014611Z ... # np.core.fromnumeric 2024-12-18T00:12:46.1014902Z 2024-12-18T00:12:46.1015257Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.1015632Z 2024-12-18T00:12:46.2558992Z 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=354. 2024-12-18T00:12:46.2559948Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.2560557Z Applies a 1D convolution over a quantized input signal composed of 2024-12-18T00:12:46.2560987Z several quantized input planes. 2024-12-18T00:12:46.2561210Z 2024-12-18T00:12:46.2561467Z For details on input arguments, parameters, and implementation see 2024-12-18T00:12:46.2561907Z :class:`~torch.nn.Conv1d`. 2024-12-18T00:12:46.2562096Z 2024-12-18T00:12:46.2562217Z .. note:: 2024-12-18T00:12:46.2562565Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-12-18T00:12:46.2562882Z 2024-12-18T00:12:46.2562974Z .. note:: 2024-12-18T00:12:46.2563301Z Only `torch.quint8` is supported for the input data type. 2024-12-18T00:12:46.2563603Z 2024-12-18T00:12:46.2563607Z 2024-12-18T00:12:46.2563702Z Attributes: 2024-12-18T00:12:46.2564065Z weight (Tensor): packed tensor derived from the learnable weight 2024-12-18T00:12:46.2564503Z parameter. 2024-12-18T00:12:46.2564863Z scale (Tensor): scalar for the output scale 2024-12-18T00:12:46.2565272Z zero_point (Tensor): scalar for the output zero point 2024-12-18T00:12:46.2565556Z 2024-12-18T00:12:46.2565708Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-12-18T00:12:46.2565981Z 2024-12-18T00:12:46.2566076Z Examples:: 2024-12-18T00:12:46.2566229Z 2024-12-18T00:12:46.2566377Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-12-18T00:12:46.2566777Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-12-18T00:12:46.2567142Z >>> input = torch.randn(20, 16, 100) 2024-12-18T00:12:46.2567465Z >>> # quantize input to quint8 2024-12-18T00:12:46.2567780Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.2568183Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-12-18T00:12:46.2568644Z ... dtype=torch.quint8) 2024-12-18T00:12:46.2568994Z >>> output = m(q_input) 2024-12-18T00:12:46.2569180Z 2024-12-18T00:12:46.2569267Z 2024-12-18T00:12:46.2569636Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.2570008Z 2024-12-18T00:12:46.2750812Z 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. 2024-12-18T00:12:46.2751713Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.2752221Z A quantized long short-term memory (LSTM). 2024-12-18T00:12:46.2752605Z 2024-12-18T00:12:46.2752893Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-12-18T00:12:46.2753284Z 2024-12-18T00:12:46.2753392Z Attributes: 2024-12-18T00:12:46.2753656Z layers : instances of the `_LSTMLayer` 2024-12-18T00:12:46.2753900Z 2024-12-18T00:12:46.2753999Z .. note:: 2024-12-18T00:12:46.2754349Z To access the weights and biases, you need to access them per layer. 2024-12-18T00:12:46.2754948Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-12-18T00:12:46.2755231Z 2024-12-18T00:12:46.2755341Z Examples:: 2024-12-18T00:12:46.2755586Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.2755867Z >>> custom_module_config = { 2024-12-18T00:12:46.2756215Z ... 'float_to_observed_custom_module_class': { 2024-12-18T00:12:46.2756596Z ... nn.LSTM: nn.quantizable.LSTM, 2024-12-18T00:12:46.2756921Z ... }, 2024-12-18T00:12:46.2757215Z ... 'observed_to_quantized_custom_module_class': { 2024-12-18T00:12:46.2757614Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-12-18T00:12:46.2758127Z ... } 2024-12-18T00:12:46.2758421Z ... } 2024-12-18T00:12:46.2758841Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-12-18T00:12:46.2759396Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-12-18T00:12:46.2759803Z 2024-12-18T00:12:46.2760178Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.2760552Z 2024-12-18T00:12:46.3589229Z 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. 2024-12-18T00:12:46.3590330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.3590900Z Squashes the sparse masks into the appropriate tensors. 2024-12-18T00:12:46.3591185Z 2024-12-18T00:12:46.3591427Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-12-18T00:12:46.3591933Z the module will have a `sparse_params` dict attached to it. 2024-12-18T00:12:46.3592251Z 2024-12-18T00:12:46.3592340Z Args: 2024-12-18T00:12:46.3592669Z params_to_keep: List of keys to save in the module or a dict 2024-12-18T00:12:46.3593139Z representing the modules and keys that will have 2024-12-18T00:12:46.3593565Z sparsity parameters saved 2024-12-18T00:12:46.3594021Z params_to_keep_per_layer: Dict to specify the params that should be 2024-12-18T00:12:46.3594527Z saved for specific layers. The keys in the dict 2024-12-18T00:12:46.3594952Z should be the module fqn, while the values should 2024-12-18T00:12:46.3595392Z be a list of strings with the names of the variables 2024-12-18T00:12:46.3595808Z to save in the `sparse_params` 2024-12-18T00:12:46.3596042Z 2024-12-18T00:12:46.3596152Z Examples: 2024-12-18T00:12:46.3596443Z >>> # xdoctest: +SKIP("locals are undefined") 2024-12-18T00:12:46.3596815Z >>> # Don't save any sparse params 2024-12-18T00:12:46.3597153Z >>> sparsifier.squash_mask() 2024-12-18T00:12:46.3597527Z >>> hasattr(model.submodule1, 'sparse_params') 2024-12-18T00:12:46.3597880Z False 2024-12-18T00:12:46.3598019Z 2024-12-18T00:12:46.3598154Z >>> # Keep sparse params per layer 2024-12-18T00:12:46.3598503Z >>> sparsifier.squash_mask( 2024-12-18T00:12:46.3598827Z ... params_to_keep_per_layer={ 2024-12-18T00:12:46.3599193Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-12-18T00:12:46.3599573Z ... 'submodule2.linear42': ('baz',) 2024-12-18T00:12:46.3599903Z ... }) 2024-12-18T00:12:46.3600221Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:46.3600758Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:46.3601116Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:46.3601561Z {'baz': 0.1} 2024-12-18T00:12:46.3601726Z 2024-12-18T00:12:46.3601866Z >>> # Keep sparse params for all layers 2024-12-18T00:12:46.3602286Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-12-18T00:12:46.3602847Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:46.3603228Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:46.3603589Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:46.3603962Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:46.3604154Z 2024-12-18T00:12:46.3604367Z >>> # Keep some sparse params for all layers, and specific ones for 2024-12-18T00:12:46.3604793Z >>> # some other layers 2024-12-18T00:12:46.3605101Z >>> sparsifier.squash_mask( 2024-12-18T00:12:46.3605446Z ... params_to_keep=('foo', 'bar'), 2024-12-18T00:12:46.3605798Z ... params_to_keep_per_layer={ 2024-12-18T00:12:46.3606210Z ... 'submodule2.linear42': ('baz',) 2024-12-18T00:12:46.3606546Z ... }) 2024-12-18T00:12:46.3606847Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:46.3607225Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:46.3607586Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:46.3607974Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-12-18T00:12:46.3608289Z 2024-12-18T00:12:46.3608655Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.3609032Z 2024-12-18T00:12:46.4345715Z 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. 2024-12-18T00:12:46.4346775Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.4347165Z 2024-12-18T00:12:46.4347421Z Config object that specifies the supported data types passed as arguments to 2024-12-18T00:12:46.4348033Z quantize ops in the reference model spec, for input and output activations, 2024-12-18T00:12:46.4348488Z weights, and biases. 2024-12-18T00:12:46.4348665Z 2024-12-18T00:12:46.4348846Z For example, consider the following reference model: 2024-12-18T00:12:46.4349116Z 2024-12-18T00:12:46.4349289Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-12-18T00:12:46.4349553Z 2024-12-18T00:12:46.4349782Z The pattern in the square brackets refers to the reference pattern of 2024-12-18T00:12:46.4350334Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-12-18T00:12:46.4350915Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-12-18T00:12:46.4351494Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-12-18T00:12:46.4352062Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-12-18T00:12:46.4352515Z the second quantize op (quant2). 2024-12-18T00:12:46.4352718Z 2024-12-18T00:12:46.4352948Z Note that the dtype here does not refer to the interface dtypes of the 2024-12-18T00:12:46.4353473Z op. For example, the "input dtype" here is not the dtype of the input 2024-12-18T00:12:46.4354014Z tensor passed to the quantized linear op. Though it can still be the 2024-12-18T00:12:46.4354548Z same as the interface dtype, this is not always the case, e.g. the 2024-12-18T00:12:46.4355078Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-12-18T00:12:46.4355622Z specified in the DTypeConfig would still be quint8. The semantics of 2024-12-18T00:12:46.4356159Z dtypes here are the same as the semantics of the dtypes specified in 2024-12-18T00:12:46.4356567Z the observers. 2024-12-18T00:12:46.4356721Z 2024-12-18T00:12:46.4356929Z These dtypes are matched against the ones specified in the user's 2024-12-18T00:12:46.4357585Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-12-18T00:12:46.4358386Z specified in the DTypeConfig (if any), then we will quantize the given 2024-12-18T00:12:46.4358950Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-12-18T00:12:46.4359391Z the pattern will not be quantized. 2024-12-18T00:12:46.4359671Z 2024-12-18T00:12:46.4359822Z Example usage:: 2024-12-18T00:12:46.4359978Z 2024-12-18T00:12:46.4360085Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:46.4360403Z >>> dtype_config1 = DTypeConfig( 2024-12-18T00:12:46.4360733Z ... input_dtype=torch.quint8, 2024-12-18T00:12:46.4361049Z ... output_dtype=torch.quint8, 2024-12-18T00:12:46.4361378Z ... weight_dtype=torch.qint8, 2024-12-18T00:12:46.4361775Z ... bias_dtype=torch.float) 2024-12-18T00:12:46.4361991Z 2024-12-18T00:12:46.4362099Z >>> dtype_config2 = DTypeConfig( 2024-12-18T00:12:46.4362449Z ... input_dtype=DTypeWithConstraints( 2024-12-18T00:12:46.4362797Z ... dtype=torch.quint8, 2024-12-18T00:12:46.4363098Z ... quant_min_lower_bound=0, 2024-12-18T00:12:46.4363487Z ... quant_max_upper_bound=255, 2024-12-18T00:12:46.4363799Z ... ), 2024-12-18T00:12:46.4364070Z ... output_dtype=DTypeWithConstraints( 2024-12-18T00:12:46.4364417Z ... dtype=torch.quint8, 2024-12-18T00:12:46.4364721Z ... quant_min_lower_bound=0, 2024-12-18T00:12:46.4365052Z ... quant_max_upper_bound=255, 2024-12-18T00:12:46.4365363Z ... ), 2024-12-18T00:12:46.4365635Z ... weight_dtype=DTypeWithConstraints( 2024-12-18T00:12:46.4365986Z ... dtype=torch.qint8, 2024-12-18T00:12:46.4366293Z ... quant_min_lower_bound=-128, 2024-12-18T00:12:46.4366629Z ... quant_max_upper_bound=127, 2024-12-18T00:12:46.4366940Z ... ), 2024-12-18T00:12:46.4367184Z ... bias_dtype=torch.float) 2024-12-18T00:12:46.4367387Z 2024-12-18T00:12:46.4367508Z >>> dtype_config1.input_dtype 2024-12-18T00:12:46.4367794Z torch.quint8 2024-12-18T00:12:46.4367948Z 2024-12-18T00:12:46.4368058Z >>> dtype_config2.input_dtype 2024-12-18T00:12:46.4368360Z torch.quint8 2024-12-18T00:12:46.4368503Z 2024-12-18T00:12:46.4368652Z >>> dtype_config2.input_dtype_with_constraints 2024-12-18T00:12:46.4369434Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-12-18T00:12:46.4370071Z 2024-12-18T00:12:46.4370336Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.4370699Z 2024-12-18T00:12:46.5378888Z 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. 2024-12-18T00:12:46.5380180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.5380914Z 2024-12-18T00:12:46.5381249Z Takes in optional filter values and generates two tables with desired information. 2024-12-18T00:12:46.5381645Z 2024-12-18T00:12:46.5381876Z The generated tables are presented in both a list-of-lists format 2024-12-18T00:12:46.5382206Z 2024-12-18T00:12:46.5382413Z The reason for the two tables are that they handle different things: 2024-12-18T00:12:46.5382912Z 1.) the first table handles all tensor level information 2024-12-18T00:12:46.5383403Z 2.) the second table handles and displays all channel based information 2024-12-18T00:12:46.5383726Z 2024-12-18T00:12:46.5384050Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-12-18T00:12:46.5385046Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-12-18T00:12:46.5386117Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-12-18T00:12:46.5386710Z 2024-12-18T00:12:46.5386810Z Tensor table columns: 2024-12-18T00:12:46.5387176Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:46.5387749Z ---- --------- --------- --------- --------- --------- 2024-12-18T00:12:46.5388282Z 2024-12-18T00:12:46.5388464Z Per-Channel table columns: 2024-12-18T00:12:46.5388982Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:46.5389493Z ---- --------- ------- --------- --------- --------- --------- 2024-12-18T00:12:46.5389772Z 2024-12-18T00:12:46.5389873Z Args: 2024-12-18T00:12:46.5390246Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:46.5390737Z contain this filter substring 2024-12-18T00:12:46.5391118Z Default = "", results in all the features being printed 2024-12-18T00:12:46.5391661Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:46.5392284Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:46.5392686Z 2024-12-18T00:12:46.5392801Z Returns a dictionary with two keys: 2024-12-18T00:12:46.5393195Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-12-18T00:12:46.5393607Z "tensor_level_info", "channel_level_info" 2024-12-18T00:12:46.5393959Z Each key maps to a tuple with: 2024-12-18T00:12:46.5394296Z A list of the headers of each table 2024-12-18T00:12:46.5394711Z A list of lists containing the table information row by row 2024-12-18T00:12:46.5395172Z The 0th index row will contain the headers of the columns 2024-12-18T00:12:46.5395583Z The rest of the rows will contain data 2024-12-18T00:12:46.5395827Z 2024-12-18T00:12:46.5395919Z Example Use: 2024-12-18T00:12:46.5396187Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:46.5396583Z >>> mod_report_visualizer.generate_filtered_tables( 2024-12-18T00:12:46.5396957Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:46.5397304Z ... module_fqn_filter = "block1" 2024-12-18T00:12:46.5397788Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-12-18T00:12:46.5398168Z 2024-12-18T00:12:46.5398433Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.5398793Z 2024-12-18T00:12:46.5399692Z 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. 2024-12-18T00:12:46.5400943Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.5401315Z 2024-12-18T00:12:46.5401690Z Takes in optional filter values and prints out formatted tables of the information. 2024-12-18T00:12:46.5402082Z 2024-12-18T00:12:46.5402419Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-12-18T00:12:46.5403049Z 1.) the first table handles all tensor level information 2024-12-18T00:12:46.5403548Z 2.) the second table handles and displays all channel based information 2024-12-18T00:12:46.5403893Z 2024-12-18T00:12:46.5404209Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-12-18T00:12:46.5404975Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-12-18T00:12:46.5405770Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-12-18T00:12:46.5406228Z 2024-12-18T00:12:46.5406338Z Tensor table columns: 2024-12-18T00:12:46.5406680Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:46.5407138Z ---- --------- --------- --------- --------- --------- 2024-12-18T00:12:46.5407459Z 2024-12-18T00:12:46.5407566Z Per-Channel table columns: 2024-12-18T00:12:46.5407747Z 2024-12-18T00:12:46.5407982Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:46.5408480Z ---- --------- ------- --------- --------- --------- --------- 2024-12-18T00:12:46.5408758Z 2024-12-18T00:12:46.5408857Z Args: 2024-12-18T00:12:46.5409325Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:46.5409820Z contain this filter substring 2024-12-18T00:12:46.5410202Z Default = "", results in all the features being printed 2024-12-18T00:12:46.5410743Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:46.5411375Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:46.5411734Z 2024-12-18T00:12:46.5411828Z Example Use: 2024-12-18T00:12:46.5412105Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:46.5412515Z >>> mod_report_visualizer.generate_table_visualization( 2024-12-18T00:12:46.5412955Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:46.5413305Z ... module_fqn_filter = "block1" 2024-12-18T00:12:46.5413607Z ... ) 2024-12-18T00:12:46.5413912Z >>> # prints out neatly formatted table with per_channel_min info 2024-12-18T00:12:46.5414348Z >>> # for all modules in block 1 of the model 2024-12-18T00:12:46.5414591Z 2024-12-18T00:12:46.5414843Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.5415203Z 2024-12-18T00:12:46.5416124Z 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=566. 2024-12-18T00:12:46.5417370Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.5417757Z 2024-12-18T00:12:46.5417997Z Takes in a feature and optional module_filter and plots of the desired data. 2024-12-18T00:12:46.5418344Z 2024-12-18T00:12:46.5418627Z For per channel features, it averages the value across the channels and plots a point 2024-12-18T00:12:46.5419290Z per module. The reason for this is that for models with hundreds of channels, it can 2024-12-18T00:12:46.5419935Z be hard to differentiate one channel line from another, and so the point of generating 2024-12-18T00:12:46.5420596Z a single average point per module is to give a sense of general trends that encourage 2024-12-18T00:12:46.5421086Z further deep dives. 2024-12-18T00:12:46.5421235Z 2024-12-18T00:12:46.5421333Z Note: 2024-12-18T00:12:46.5421720Z Only features in the report that have tensor value data are plottable by this class 2024-12-18T00:12:46.5422263Z When the tensor information is plotted, it will plot: 2024-12-18T00:12:46.5422683Z idx as the x val, feature value as the y_val 2024-12-18T00:12:46.5423103Z When the channel information is plotted, it will plot: 2024-12-18T00:12:46.5423650Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-12-18T00:12:46.5424258Z The reason for this is that we want to be able to compare values across the 2024-12-18T00:12:46.5424843Z channels for same layer, and it will be hard if values are staggered by idx 2024-12-18T00:12:46.5425361Z This means each module is represented by only 1 x value 2024-12-18T00:12:46.5425732Z Args: 2024-12-18T00:12:46.5426082Z feature_filter (str): Filters the features presented to only those that 2024-12-18T00:12:46.5426541Z contain this filter substring 2024-12-18T00:12:46.5427018Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:46.5427627Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:46.5428031Z 2024-12-18T00:12:46.5428126Z Example Use: 2024-12-18T00:12:46.5428399Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:46.5428810Z >>> mod_report_visualizer.generate_plot_visualization( 2024-12-18T00:12:46.5429214Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:46.5429566Z ... module_fqn_filter = "block1" 2024-12-18T00:12:46.5429860Z ... ) 2024-12-18T00:12:46.5430197Z >>> # outputs line plot of per_channel_min information for all 2024-12-18T00:12:46.5430706Z >>> # modules in block1 of model each channel gets it's own line, 2024-12-18T00:12:46.5431186Z >>> # and it's plotted across the in-order modules on the x-axis 2024-12-18T00:12:46.5431470Z 2024-12-18T00:12:46.5431731Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.5432092Z 2024-12-18T00:12:46.5433009Z 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=646. 2024-12-18T00:12:46.5434262Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.5434680Z 2024-12-18T00:12:46.5434956Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-12-18T00:12:46.5435356Z 2024-12-18T00:12:46.5435441Z Note: 2024-12-18T00:12:46.5435830Z Only features in the report that have tensor value data can be viewed as a histogram 2024-12-18T00:12:46.5436474Z If you want to plot a histogram from all the channel values of a specific feature for 2024-12-18T00:12:46.5437102Z a specific model, make sure to specify both the model and the feature properly 2024-12-18T00:12:46.5437701Z in the filters and you should be able to see a distribution of the channel data 2024-12-18T00:12:46.5438079Z 2024-12-18T00:12:46.5438169Z Args: 2024-12-18T00:12:46.5438552Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:46.5439048Z contain this filter substring 2024-12-18T00:12:46.5439425Z Default = "", results in all the features being printed 2024-12-18T00:12:46.5439964Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:46.5440577Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:46.5441169Z num_bins (int, optional): The number of bins to create the histogram with 2024-12-18T00:12:46.5441778Z Default = 10, the values will be split into 10 equal sized bins 2024-12-18T00:12:46.5442091Z 2024-12-18T00:12:46.5442185Z Example Use: 2024-12-18T00:12:46.5442430Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.5442908Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-12-18T00:12:46.5443445Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:46.5443798Z ... module_fqn_filter = "block1" 2024-12-18T00:12:46.5444107Z ... ) 2024-12-18T00:12:46.5444507Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-12-18T00:12:46.5445159Z information is gathered across all channels for all modules in block 1 for the 2024-12-18T00:12:46.5445744Z per_channel_min and is displayed in a histogram of equally sized bins 2024-12-18T00:12:46.5446086Z 2024-12-18T00:12:46.5446344Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.5446716Z 2024-12-18T00:12:46.7736002Z 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=660. 2024-12-18T00:12:46.7736954Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:46.7737329Z 2024-12-18T00:12:46.7737596Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-12-18T00:12:46.7738442Z The submesh created consists of the dimensions and the communicators indicated by 2024-12-18T00:12:46.7738938Z ``mesh_dim_names`` 2024-12-18T00:12:46.7739084Z 2024-12-18T00:12:46.7739183Z Args: 2024-12-18T00:12:46.7739534Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-12-18T00:12:46.7740077Z mesh dimension of the DeviceMesh to create the submesh for. 2024-12-18T00:12:46.7740469Z Returns: 2024-12-18T00:12:46.7740808Z A :class:`DeviceMesh` object 2024-12-18T00:12:46.7741002Z 2024-12-18T00:12:46.7741297Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-12-18T00:12:46.7741802Z In the first example: 2024-12-18T00:12:46.7742202Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-12-18T00:12:46.7742807Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-12-18T00:12:46.7743389Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-12-18T00:12:46.7743953Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-12-18T00:12:46.7744559Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-12-18T00:12:46.7745119Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-12-18T00:12:46.7745453Z 2024-12-18T00:12:46.7745554Z In the second example: 2024-12-18T00:12:46.7745991Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-12-18T00:12:46.7746634Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-12-18T00:12:46.7747271Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-12-18T00:12:46.7747906Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-12-18T00:12:46.7748276Z 2024-12-18T00:12:46.7748399Z Example:: 2024-12-18T00:12:46.7748628Z >>> # xdoctest: +SKIP("no rank") 2024-12-18T00:12:46.7749016Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-12-18T00:12:46.7749398Z >>> 2024-12-18T00:12:46.7749721Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-12-18T00:12:46.7750187Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-12-18T00:12:46.7750678Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-12-18T00:12:46.7751152Z >>> tp_mesh = mesh_2d["tp"] 2024-12-18T00:12:46.7751444Z >>> dp_mesh = mesh_2d["dp"] 2024-12-18T00:12:46.7751720Z >>> 2024-12-18T00:12:46.7751943Z >>> # Initialize a 3D mesh. 2024-12-18T00:12:46.7752401Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-12-18T00:12:46.7753102Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-12-18T00:12:46.7753639Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-12-18T00:12:46.7753974Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-12-18T00:12:46.7754191Z 2024-12-18T00:12:46.7754865Z 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)) 2024-12-18T00:12:46.7755631Z 2024-12-18T00:12:46.7755895Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-12-18T00:12:46.7756384Z ^ 2024-12-18T00:12:46.8087674Z 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=3063. 2024-12-18T00:12:46.8089068Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8089601Z 2024-12-18T00:12:46.8089949Z Gathers picklable objects from the whole group in a single process. 2024-12-18T00:12:46.8090758Z 2024-12-18T00:12:46.8091178Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-12-18T00:12:46.8092052Z object must be picklable in order to be gathered. 2024-12-18T00:12:46.8092531Z 2024-12-18T00:12:46.8092680Z Args: 2024-12-18T00:12:46.8093103Z obj (Any): Input object. Must be picklable. 2024-12-18T00:12:46.8094113Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-12-18T00:12:46.8094924Z should be correctly sized as the size of the group for this 2024-12-18T00:12:46.8095438Z collective and will contain the output. Must be ``None`` on non-dst 2024-12-18T00:12:46.8095878Z ranks. (default is ``None``) 2024-12-18T00:12:46.8096405Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2024-12-18T00:12:46.8097038Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2024-12-18T00:12:46.8097591Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-12-18T00:12:46.8098136Z the default process group will be used. Default is ``None``. 2024-12-18T00:12:46.8098824Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2024-12-18T00:12:46.8099292Z 2024-12-18T00:12:46.8099381Z Returns: 2024-12-18T00:12:46.8099697Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-12-18T00:12:46.8100104Z output of the collective. 2024-12-18T00:12:46.8100291Z 2024-12-18T00:12:46.8100535Z .. note:: Note that this API differs slightly from the gather collective 2024-12-18T00:12:46.8101078Z since it does not provide an async_op handle and thus will be a blocking 2024-12-18T00:12:46.8101489Z call. 2024-12-18T00:12:46.8101946Z 2024-12-18T00:12:46.8102181Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-12-18T00:12:46.8102744Z of objects must be moved to the GPU device before communication takes 2024-12-18T00:12:46.8103415Z place. In this case, the device used is given by 2024-12-18T00:12:46.8103899Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-12-18T00:12:46.8104523Z ensure that this is set so that each rank has an individual GPU, via 2024-12-18T00:12:46.8104963Z ``torch.cuda.set_device()``. 2024-12-18T00:12:46.8105178Z 2024-12-18T00:12:46.8105273Z .. warning:: 2024-12-18T00:12:46.8105611Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-12-18T00:12:46.8106149Z known to be insecure. It is possible to construct malicious pickle data 2024-12-18T00:12:46.8106702Z which will execute arbitrary code during unpickling. Only call this 2024-12-18T00:12:46.8107132Z function with data you trust. 2024-12-18T00:12:46.8107347Z 2024-12-18T00:12:46.8107437Z .. warning:: 2024-12-18T00:12:46.8107785Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-12-18T00:12:46.8108356Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-12-18T00:12:46.8108875Z pickled. Please consider using :func:`gather` instead. 2024-12-18T00:12:46.8109153Z 2024-12-18T00:12:46.8109243Z Example:: 2024-12-18T00:12:46.8109512Z >>> # xdoctest: +SKIP("need process group init") 2024-12-18T00:12:46.8109949Z >>> # Note: Process group initialization omitted on each rank. 2024-12-18T00:12:46.8110369Z >>> import torch.distributed as dist 2024-12-18T00:12:46.8110707Z >>> # Assumes world_size of 3. 2024-12-18T00:12:46.8111089Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-12-18T00:12:46.8111492Z >>> output = [None for _ in gather_objects] 2024-12-18T00:12:46.8111831Z >>> dist.gather_object( 2024-12-18T00:12:46.8112133Z ... gather_objects[dist.get_rank()], 2024-12-18T00:12:46.8112497Z ... output if dist.get_rank() == 0 else None, 2024-12-18T00:12:46.8112831Z ... dst=0 2024-12-18T00:12:46.8113112Z ... ) 2024-12-18T00:12:46.8113332Z >>> # On rank 0 2024-12-18T00:12:46.8113572Z >>> output 2024-12-18T00:12:46.8113894Z ['foo', 12, {1: 2}] 2024-12-18T00:12:46.8114048Z 2024-12-18T00:12:46.8114317Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8114683Z 2024-12-18T00:12:46.8273688Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/launch.py line=2. 2024-12-18T00:12:46.8274787Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8275179Z 2024-12-18T00:12:46.8275298Z Module ``torch.distributed.launch``. 2024-12-18T00:12:46.8275528Z 2024-12-18T00:12:46.8275777Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-12-18T00:12:46.8276298Z training processes on each of the training nodes. 2024-12-18T00:12:46.8276558Z 2024-12-18T00:12:46.8276672Z .. warning:: 2024-12-18T00:12:46.8276805Z 2024-12-18T00:12:46.8277065Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-12-18T00:12:46.8277432Z 2024-12-18T00:12:46.8277733Z The utility can be used for single-node distributed training, in which one or 2024-12-18T00:12:46.8278319Z more processes per node will be spawned. The utility can be used for either 2024-12-18T00:12:46.8278890Z CPU training or GPU training. If the utility is used for GPU training, 2024-12-18T00:12:46.8279471Z each distributed process will be operating on a single GPU. This can achieve 2024-12-18T00:12:46.8280067Z well-improved single-node training performance. It can also be used in 2024-12-18T00:12:46.8280685Z multi-node distributed training, by spawning up multiple processes on each node 2024-12-18T00:12:46.8281289Z for well-improved multi-node distributed training performance as well. 2024-12-18T00:12:46.8281939Z This will especially be beneficial for systems with multiple Infiniband 2024-12-18T00:12:46.8282538Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-12-18T00:12:46.8283033Z aggregated communication bandwidth. 2024-12-18T00:12:46.8283245Z 2024-12-18T00:12:46.8283494Z In both cases of single-node distributed training or multi-node distributed 2024-12-18T00:12:46.8284087Z training, this utility will launch the given number of processes per node 2024-12-18T00:12:46.8284659Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-12-18T00:12:46.8285236Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-12-18T00:12:46.8285801Z and each process will be operating on a single GPU from *GPU 0 to 2024-12-18T00:12:46.8286218Z GPU (nproc_per_node - 1)*. 2024-12-18T00:12:46.8286410Z 2024-12-18T00:12:46.8286512Z **How to use this module:** 2024-12-18T00:12:46.8286705Z 2024-12-18T00:12:46.8286858Z 1. Single-Node multi-process distributed training 2024-12-18T00:12:46.8287113Z 2024-12-18T00:12:46.8287217Z :: 2024-12-18T00:12:46.8287329Z 2024-12-18T00:12:46.8287586Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:46.8288137Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-12-18T00:12:46.8288561Z arguments of your training script) 2024-12-18T00:12:46.8288809Z 2024-12-18T00:12:46.8289021Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-12-18T00:12:46.8289353Z 2024-12-18T00:12:46.8289359Z 2024-12-18T00:12:46.8289508Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-12-18T00:12:46.8289774Z 2024-12-18T00:12:46.8289862Z :: 2024-12-18T00:12:46.8289972Z 2024-12-18T00:12:46.8290223Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:46.8290749Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-12-18T00:12:46.8291226Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-12-18T00:12:46.8291713Z and all other arguments of your training script) 2024-12-18T00:12:46.8292051Z 2024-12-18T00:12:46.8292177Z Node 2: 2024-12-18T00:12:46.8292311Z 2024-12-18T00:12:46.8292398Z :: 2024-12-18T00:12:46.8292520Z 2024-12-18T00:12:46.8292758Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:46.8293272Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-12-18T00:12:46.8293757Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-12-18T00:12:46.8294301Z and all other arguments of your training script) 2024-12-18T00:12:46.8294563Z 2024-12-18T00:12:46.8294727Z 3. To look up what optional arguments this module offers: 2024-12-18T00:12:46.8295012Z 2024-12-18T00:12:46.8295096Z :: 2024-12-18T00:12:46.8295216Z 2024-12-18T00:12:46.8295354Z python -m torch.distributed.launch --help 2024-12-18T00:12:46.8295595Z 2024-12-18T00:12:46.8295614Z 2024-12-18T00:12:46.8295713Z **Important Notices:** 2024-12-18T00:12:46.8295873Z 2024-12-18T00:12:46.8296078Z 1. This utility and multi-process distributed (single-node or 2024-12-18T00:12:46.8296626Z multi-node) GPU training currently only achieves the best performance using 2024-12-18T00:12:46.8297256Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-12-18T00:12:46.8297723Z use for GPU training. 2024-12-18T00:12:46.8297892Z 2024-12-18T00:12:46.8298107Z 2. In your training program, you must parse the command-line argument: 2024-12-18T00:12:46.8298677Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-12-18T00:12:46.8299254Z If your training program uses GPUs, you should ensure that your code only 2024-12-18T00:12:46.8299797Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-12-18T00:12:46.8300101Z 2024-12-18T00:12:46.8300211Z Parsing the local_rank argument 2024-12-18T00:12:46.8300418Z 2024-12-18T00:12:46.8300505Z :: 2024-12-18T00:12:46.8300627Z 2024-12-18T00:12:46.8300733Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.8301008Z >>> import argparse 2024-12-18T00:12:46.8301301Z >>> parser = argparse.ArgumentParser() 2024-12-18T00:12:46.8301721Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2024-12-18T00:12:46.8302147Z >>> args = parser.parse_args() 2024-12-18T00:12:46.8302364Z 2024-12-18T00:12:46.8302486Z Set your device to local rank using either 2024-12-18T00:12:46.8302723Z 2024-12-18T00:12:46.8302807Z :: 2024-12-18T00:12:46.8302919Z 2024-12-18T00:12:46.8303134Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-12-18T00:12:46.8303443Z 2024-12-18T00:12:46.8303542Z or 2024-12-18T00:12:46.8303649Z 2024-12-18T00:12:46.8303733Z :: 2024-12-18T00:12:46.8303852Z 2024-12-18T00:12:46.8303986Z >>> with torch.cuda.device(args.local_rank): 2024-12-18T00:12:46.8304333Z >>> # your code to run 2024-12-18T00:12:46.8304607Z >>> ... 2024-12-18T00:12:46.8304738Z 2024-12-18T00:12:46.8304855Z .. versionchanged:: 2.0.0 2024-12-18T00:12:46.8305026Z 2024-12-18T00:12:46.8305283Z The launcher will passes the ``--local-rank=`` argument to your script. 2024-12-18T00:12:46.8305874Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2024-12-18T00:12:46.8306378Z previously used underscored ``--local_rank``. 2024-12-18T00:12:46.8306636Z 2024-12-18T00:12:46.8306873Z For backward compatibility, it may be necessary for users to handle both 2024-12-18T00:12:46.8307497Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2024-12-18T00:12:46.8308097Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2024-12-18T00:12:46.8308681Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2024-12-18T00:12:46.8309269Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2024-12-18T00:12:46.8309770Z including ``"--local-rank"`` should be sufficient. 2024-12-18T00:12:46.8310036Z 2024-12-18T00:12:46.8310267Z 3. In your training program, you are supposed to call the following function 2024-12-18T00:12:46.8310893Z at the beginning to start the distributed backend. It is strongly recommended 2024-12-18T00:12:46.8313504Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-12-18T00:12:46.8314072Z but ``env://`` is the one that is officially supported by this module. 2024-12-18T00:12:46.8314376Z 2024-12-18T00:12:46.8314470Z :: 2024-12-18T00:12:46.8314641Z 2024-12-18T00:12:46.8314881Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-12-18T00:12:46.8315350Z >>> init_method='env://') 2024-12-18T00:12:46.8315605Z 2024-12-18T00:12:46.8315844Z 4. In your training program, you can either use regular distributed functions 2024-12-18T00:12:46.8316438Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-12-18T00:12:46.8317002Z training program uses GPUs for training and you would like to use 2024-12-18T00:12:46.8317511Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-12-18T00:12:46.8317920Z here is how to configure it. 2024-12-18T00:12:46.8318114Z 2024-12-18T00:12:46.8318202Z :: 2024-12-18T00:12:46.8318311Z 2024-12-18T00:12:46.8318545Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-12-18T00:12:46.8318999Z >>> device_ids=[args.local_rank], 2024-12-18T00:12:46.8319405Z >>> output_device=args.local_rank) 2024-12-18T00:12:46.8319662Z 2024-12-18T00:12:46.8319901Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-12-18T00:12:46.8320492Z that your code will be operating on. This is generally the local rank of the 2024-12-18T00:12:46.8321078Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-12-18T00:12:46.8321723Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-12-18T00:12:46.8322152Z utility 2024-12-18T00:12:46.8322268Z 2024-12-18T00:12:46.8322528Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-12-18T00:12:46.8323101Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-12-18T00:12:46.8323658Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-12-18T00:12:46.8324190Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-12-18T00:12:46.8324675Z will not pass ``--local-rank`` when you specify this flag. 2024-12-18T00:12:46.8324957Z 2024-12-18T00:12:46.8325061Z .. warning:: 2024-12-18T00:12:46.8325192Z 2024-12-18T00:12:46.8325402Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-12-18T00:12:46.8325899Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-12-18T00:12:46.8326322Z write to a networked filesystem. See 2024-12-18T00:12:46.8326770Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-12-18T00:12:46.8327271Z how things can go wrong if you don't do this correctly. 2024-12-18T00:12:46.8327542Z 2024-12-18T00:12:46.8327547Z 2024-12-18T00:12:46.8327550Z 2024-12-18T00:12:46.8327554Z 2024-12-18T00:12:46.8327823Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8328181Z 2024-12-18T00:12:46.8707515Z 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. 2024-12-18T00:12:46.8708561Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8708938Z 2024-12-18T00:12:46.8709179Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-12-18T00:12:46.8709687Z Needs to be called on all ranks in an SPMD fashion. 2024-12-18T00:12:46.8709954Z 2024-12-18T00:12:46.8710040Z Args: 2024-12-18T00:12:46.8710437Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-12-18T00:12:46.8711159Z of shards that represent the local shards on this rank. 2024-12-18T00:12:46.8711684Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-12-18T00:12:46.8712143Z shape of the overall sharded tensor. 2024-12-18T00:12:46.8712386Z 2024-12-18T00:12:46.8712498Z Keyword args: 2024-12-18T00:12:46.8712952Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-12-18T00:12:46.8713508Z the default process group will be used. 2024-12-18T00:12:46.8713928Z init_rrefs (bool, optional): Whether or not to initialize 2024-12-18T00:12:46.8714439Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-12-18T00:12:46.8714952Z Need to initialize the RPC Framework if specified as ``True``. 2024-12-18T00:12:46.8715364Z Default: ``False``. 2024-12-18T00:12:46.8715551Z 2024-12-18T00:12:46.8715638Z Returns: 2024-12-18T00:12:46.8715917Z A :class:`ShardedTensor` object handle on this rank 2024-12-18T00:12:46.8716177Z 2024-12-18T00:12:46.8716181Z 2024-12-18T00:12:46.8716283Z Examples: 2024-12-18T00:12:46.8716729Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-12-18T00:12:46.8717272Z each shard have a (5, 5) local tensor, we can do it like below: 2024-12-18T00:12:46.8717578Z 2024-12-18T00:12:46.8717667Z on rank 0: 2024-12-18T00:12:46.8717933Z >>> # xdoctest: +SKIP("not distributed") 2024-12-18T00:12:46.8718289Z >>> local_shard_metadata = ShardMetadata( 2024-12-18T00:12:46.8718629Z >>> shard_offsets=[0, 0], 2024-12-18T00:12:46.8718916Z >>> shard_lengths=[5, 5], 2024-12-18T00:12:46.8719221Z >>> placement="rank:0/cuda:0" 2024-12-18T00:12:46.8719518Z >>> ) 2024-12-18T00:12:46.8719839Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-12-18T00:12:46.8720353Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-12-18T00:12:46.8720659Z 2024-12-18T00:12:46.8720759Z on rank 1: 2024-12-18T00:12:46.8721003Z >>> # xdoctest: +SKIP("not distributed") 2024-12-18T00:12:46.8721353Z >>> local_shard_metadata = ShardMetadata( 2024-12-18T00:12:46.8721760Z >>> shard_offsets=[5, 0], 2024-12-18T00:12:46.8722061Z >>> shard_lengths=[5, 5], 2024-12-18T00:12:46.8722369Z >>> placement="rank:1/cuda:1" 2024-12-18T00:12:46.8722653Z >>> ) 2024-12-18T00:12:46.8722976Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-12-18T00:12:46.8723484Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-12-18T00:12:46.8723785Z 2024-12-18T00:12:46.8724046Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8724407Z 2024-12-18T00:12:46.8806818Z 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. 2024-12-18T00:12:46.8807944Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8808323Z 2024-12-18T00:12:46.8808599Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-12-18T00:12:46.8809078Z size and sharding spec on each rank. 2024-12-18T00:12:46.8809304Z 2024-12-18T00:12:46.8809390Z Args: 2024-12-18T00:12:46.8809740Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-12-18T00:12:46.8810347Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-12-18T00:12:46.8810901Z The specification describing how to shard the Tensor. 2024-12-18T00:12:46.8811344Z global_size (Sequence[int]): Size of the sharded tensor. 2024-12-18T00:12:46.8811883Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-12-18T00:12:46.8812349Z Default: None 2024-12-18T00:12:46.8812696Z init_rrefs (bool, optional): Whether or not to initialize 2024-12-18T00:12:46.8813298Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-12-18T00:12:46.8813828Z Need to initialize the RPC Framework if specified as ``True``. 2024-12-18T00:12:46.8814314Z Default: ``False``. 2024-12-18T00:12:46.8814645Z 2024-12-18T00:12:46.8814811Z Returns: 2024-12-18T00:12:46.8815287Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-12-18T00:12:46.8815858Z tensor stored in the current rank. 2024-12-18T00:12:46.8816081Z 2024-12-18T00:12:46.8816183Z Examples: 2024-12-18T00:12:46.8816416Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.8816722Z >>> # All tensors below are of torch.int64 type. 2024-12-18T00:12:46.8817097Z >>> # We have 2 process groups, 2 ranks. 2024-12-18T00:12:46.8817505Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-12-18T00:12:46.8818003Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-12-18T00:12:46.8818422Z >>> local_tensor 2024-12-18T00:12:46.8818668Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-12-18T00:12:46.8818963Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-12-18T00:12:46.8819258Z >>> sharding_dim = 0 2024-12-18T00:12:46.8819602Z >>> sharding_spec = ChunkShardingSpec( 2024-12-18T00:12:46.8819942Z dim=sharding_dim, 2024-12-18T00:12:46.8820215Z placements=[ 2024-12-18T00:12:46.8820487Z "rank:0/cuda:0", 2024-12-18T00:12:46.8820776Z "rank:1/cuda:1", 2024-12-18T00:12:46.8821053Z ], 2024-12-18T00:12:46.8821276Z ) 2024-12-18T00:12:46.8821647Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-12-18T00:12:46.8822112Z >>> st 2024-12-18T00:12:46.8822339Z ShardedTensor( 2024-12-18T00:12:46.8822603Z ShardedTensorMetadata( 2024-12-18T00:12:46.8822904Z shards_metadata=[ 2024-12-18T00:12:46.8823345Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-12-18T00:12:46.8823987Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-12-18T00:12:46.8824450Z ], 2024-12-18T00:12:46.8824695Z size=torch.Size([2, 4]) 2024-12-18T00:12:46.8824989Z ) 2024-12-18T00:12:46.8825194Z >>> st.local_tensor() 2024-12-18T00:12:46.8825465Z tensor([1, 2, 3, 4]) # Rank 0 2024-12-18T00:12:46.8825757Z tensor([3, 4, 5, 6]) # Rank 1 2024-12-18T00:12:46.8825946Z 2024-12-18T00:12:46.8826238Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-12-18T00:12:46.8826868Z rank validations, and we only validate the local shard on the current rank. 2024-12-18T00:12:46.8827445Z We fully rely on the user to ensure local tensor is sharded based on the 2024-12-18T00:12:46.8827862Z sharding spec. 2024-12-18T00:12:46.8828035Z 2024-12-18T00:12:46.8828287Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8828667Z 2024-12-18T00:12:46.8829362Z 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. 2024-12-18T00:12:46.8830403Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8830786Z 2024-12-18T00:12:46.8831038Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-12-18T00:12:46.8831512Z single local shard. 2024-12-18T00:12:46.8831661Z 2024-12-18T00:12:46.8831894Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-12-18T00:12:46.8832473Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-12-18T00:12:46.8832934Z we swap local shards directly. 2024-12-18T00:12:46.8833392Z For more generic cases, we merge different shards across different ranks and split 2024-12-18T00:12:46.8834021Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-12-18T00:12:46.8834422Z 2024-12-18T00:12:46.8834524Z Args: 2024-12-18T00:12:46.8834938Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-12-18T00:12:46.8835517Z specification describing how the tensor is sharded. 2024-12-18T00:12:46.8835790Z 2024-12-18T00:12:46.8835878Z Returns: 2024-12-18T00:12:46.8836212Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-12-18T00:12:46.8836601Z 2024-12-18T00:12:46.8836692Z Examples: 2024-12-18T00:12:46.8836922Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.8837216Z >>> # We have 2 process groups, 2 ranks. 2024-12-18T00:12:46.8837610Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-12-18T00:12:46.8838029Z >>> tensor = torch.stack([tensor, tensor]) 2024-12-18T00:12:46.8838349Z >>> tensor 2024-12-18T00:12:46.8838604Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-12-18T00:12:46.8838952Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-12-18T00:12:46.8839287Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-12-18T00:12:46.8839634Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-12-18T00:12:46.8839995Z >>> sharding_dim = 0 2024-12-18T00:12:46.8840280Z >>> spec = ChunkShardingSpec( 2024-12-18T00:12:46.8840590Z dim=sharding_dim, 2024-12-18T00:12:46.8840860Z placements=[ 2024-12-18T00:12:46.8841127Z "rank:0/cuda:0", 2024-12-18T00:12:46.8841494Z "rank:1/cuda:1", 2024-12-18T00:12:46.8841783Z "rank:2/cuda:2", 2024-12-18T00:12:46.8842068Z "rank:3/cuda:3", 2024-12-18T00:12:46.8842331Z ], 2024-12-18T00:12:46.8842560Z ) 2024-12-18T00:12:46.8842785Z >>> current_offsets = [0] * 2 2024-12-18T00:12:46.8843092Z >>> current_offsets[0] = rank * 2 2024-12-18T00:12:46.8843416Z >>> shard_metadata = ShardMetadata( 2024-12-18T00:12:46.8843773Z shard_offsets=copy.deepcopy(current_offsets), 2024-12-18T00:12:46.8844154Z shard_sizes=tensor.size(), 2024-12-18T00:12:46.8844495Z placement=spec.placements[rank], 2024-12-18T00:12:46.8844821Z ) 2024-12-18T00:12:46.8845046Z >>> local_shards = [ 2024-12-18T00:12:46.8845292Z Shard( 2024-12-18T00:12:46.8845536Z tensor=tensor, 2024-12-18T00:12:46.8845833Z metadata=shard_metadata, 2024-12-18T00:12:46.8846142Z ) 2024-12-18T00:12:46.8846349Z ] 2024-12-18T00:12:46.8846706Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-12-18T00:12:46.8847149Z >>> sharding_dim = 1 2024-12-18T00:12:46.8847447Z >>> resharding_spec = ChunkShardingSpec( 2024-12-18T00:12:46.8847783Z dim=sharding_dim, 2024-12-18T00:12:46.8848055Z placements=[ 2024-12-18T00:12:46.8848322Z "rank:0/cuda:0", 2024-12-18T00:12:46.8848604Z "rank:1/cuda:1", 2024-12-18T00:12:46.8848885Z "rank:2/cuda:2", 2024-12-18T00:12:46.8849170Z "rank:3/cuda:3", 2024-12-18T00:12:46.8849431Z ], 2024-12-18T00:12:46.8849653Z ) 2024-12-18T00:12:46.8849890Z >>> st.reshard(resharding_spec) 2024-12-18T00:12:46.8850217Z >>> tensor = st.local_shards()[0].tensor 2024-12-18T00:12:46.8850533Z >>> tensor 2024-12-18T00:12:46.8850800Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-12-18T00:12:46.8851196Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-12-18T00:12:46.8851587Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-12-18T00:12:46.8851978Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-12-18T00:12:46.8852232Z 2024-12-18T00:12:46.8852495Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8852856Z 2024-12-18T00:12:46.8945144Z 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. 2024-12-18T00:12:46.8946244Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.8946615Z 2024-12-18T00:12:46.8946839Z Representation of a sharding plan, describes how to shard a module 2024-12-18T00:12:46.8947440Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-12-18T00:12:46.8948158Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-12-18T00:12:46.8948855Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-12-18T00:12:46.8949213Z 2024-12-18T00:12:46.8949312Z Args: 2024-12-18T00:12:46.8949707Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-12-18T00:12:46.8950260Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-12-18T00:12:46.8950817Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-12-18T00:12:46.8951482Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-12-18T00:12:46.8951983Z a parameter to a `ShardingSpec`. 2024-12-18T00:12:46.8952513Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-12-18T00:12:46.8952993Z to a `Sharder` object. 2024-12-18T00:12:46.8953535Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-12-18T00:12:46.8954232Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-12-18T00:12:46.8954847Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-12-18T00:12:46.8955301Z Default: `None` 2024-12-18T00:12:46.8955722Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-12-18T00:12:46.8956338Z a module's sharded output to be returned as a Tensor from its local shards to 2024-12-18T00:12:46.8956950Z ensure further processing in a data parallel fashion. ("" in list means the 2024-12-18T00:12:46.8957400Z root module). 2024-12-18T00:12:46.8957657Z Default: None 2024-12-18T00:12:46.8957911Z Example: 2024-12-18T00:12:46.8958556Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-12-18T00:12:46.8959246Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-12-18T00:12:46.8959644Z 2024-12-18T00:12:46.8959817Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-12-18T00:12:46.8960216Z >>> class MyModule(nn.Module): 2024-12-18T00:12:46.8960543Z >>> def __init__(self) -> None: 2024-12-18T00:12:46.8960870Z >>> super().__init__() 2024-12-18T00:12:46.8961176Z >>> self.fc1 = nn.Linear() 2024-12-18T00:12:46.8961524Z >>> self.gelu = nn.GELU() 2024-12-18T00:12:46.8961841Z >>> self.fc2 = nn.Linear() 2024-12-18T00:12:46.8962163Z >>> self.relu = nn.Linear() 2024-12-18T00:12:46.8962463Z >>> 2024-12-18T00:12:46.8962696Z >>> def forward(self, input): 2024-12-18T00:12:46.8963075Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-12-18T00:12:46.8963374Z 2024-12-18T00:12:46.8963379Z 2024-12-18T00:12:46.8963511Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-12-18T00:12:46.8963874Z >>> sharding_plan = ShardingPlan( 2024-12-18T00:12:46.8964185Z >>> plan={ 2024-12-18T00:12:46.8964434Z >>> "fc1.weight": spec1, 2024-12-18T00:12:46.8964743Z >>> "fc2.weight": spec2 2024-12-18T00:12:46.8965018Z >>> }, 2024-12-18T00:12:46.8965247Z >>> output_plan={ 2024-12-18T00:12:46.8965514Z >>> "fc2": output_spec 2024-12-18T00:12:46.8965797Z >>> }, 2024-12-18T00:12:46.8966027Z >>> return_local_tensor=["fc2"] 2024-12-18T00:12:46.8966328Z >>> ) 2024-12-18T00:12:46.8966457Z 2024-12-18T00:12:46.8966708Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.8967157Z 2024-12-18T00:12:46.9613467Z 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. 2024-12-18T00:12:46.9614580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9615103Z 2024-12-18T00:12:46.9615313Z Run post-localSGD algorithm. 2024-12-18T00:12:46.9615522Z 2024-12-18T00:12:46.9615771Z This DDP communication hook is used for running post-localSGD algorithm, 2024-12-18T00:12:46.9616286Z by combining with a model averaging component (e.g., 2024-12-18T00:12:46.9616871Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-12-18T00:12:46.9617435Z that runs after the optimizer step. 2024-12-18T00:12:46.9617659Z 2024-12-18T00:12:46.9617743Z Args: 2024-12-18T00:12:46.9618089Z state (PostLocalSGDState): State information to run post-localSGD. 2024-12-18T00:12:46.9618708Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-12-18T00:12:46.9619549Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-12-18T00:12:46.9620329Z Note that since DDP comm hook only supports single process single device mode, 2024-12-18T00:12:46.9620854Z only exactly one tensor is stored in this bucket. 2024-12-18T00:12:46.9621131Z 2024-12-18T00:12:46.9621218Z Returns: 2024-12-18T00:12:46.9621590Z Future handler of the communication, which updates the gradients in place. 2024-12-18T00:12:46.9621946Z 2024-12-18T00:12:46.9622068Z Example:: 2024-12-18T00:12:46.9622285Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.9622716Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-12-18T00:12:46.9623212Z start_localSGD_iter=10) 2024-12-18T00:12:46.9623627Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:46.9624251Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-12-18T00:12:46.9625046Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-12-18T00:12:46.9625502Z 2024-12-18T00:12:46.9625756Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9626134Z 2024-12-18T00:12:46.9660103Z 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=343. 2024-12-18T00:12:46.9661182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9661572Z 2024-12-18T00:12:46.9661685Z Implement PowerSGD algorithm. 2024-12-18T00:12:46.9661894Z 2024-12-18T00:12:46.9662121Z This DDP communication hook implements PowerSGD gradient compression 2024-12-18T00:12:46.9662720Z algorithm described in the `paper `_. 2024-12-18T00:12:46.9663318Z Once gradient tensors are aggregated across all workers, this hook applies 2024-12-18T00:12:46.9663784Z compression as follows: 2024-12-18T00:12:46.9663951Z 2024-12-18T00:12:46.9664383Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-12-18T00:12:46.9664939Z 2024-12-18T00:12:46.9665356Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-12-18T00:12:46.9665891Z 2024-12-18T00:12:46.9666292Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-12-18T00:12:46.9666818Z 2024-12-18T00:12:46.9666929Z 2. Handles uncompressed tensors: 2024-12-18T00:12:46.9667139Z 2024-12-18T00:12:46.9667642Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-12-18T00:12:46.9668339Z 2024-12-18T00:12:46.9668692Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-12-18T00:12:46.9669139Z 2024-12-18T00:12:46.9669386Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-12-18T00:12:46.9669778Z 2024-12-18T00:12:46.9670068Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-12-18T00:12:46.9670734Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-12-18T00:12:46.9671161Z 2024-12-18T00:12:46.9671309Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-12-18T00:12:46.9671575Z 2024-12-18T00:12:46.9671686Z 3.3. Allreduces Ps as a batch; 2024-12-18T00:12:46.9671900Z 2024-12-18T00:12:46.9672016Z 3.4. Orthogonalizes each P in Ps; 2024-12-18T00:12:46.9672242Z 2024-12-18T00:12:46.9672441Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-12-18T00:12:46.9672745Z 2024-12-18T00:12:46.9672864Z 3.6. Allreduces Qs as a batch; 2024-12-18T00:12:46.9673105Z 2024-12-18T00:12:46.9673412Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-12-18T00:12:46.9673816Z 2024-12-18T00:12:46.9674232Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-12-18T00:12:46.9675018Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-12-18T00:12:46.9675840Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-12-18T00:12:46.9676391Z 2024-12-18T00:12:46.9676480Z Args: 2024-12-18T00:12:46.9677035Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-12-18T00:12:46.9677935Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-12-18T00:12:46.9678524Z and ``min_compression_rate``. 2024-12-18T00:12:46.9679145Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-12-18T00:12:46.9679922Z Note that since DDP comm hook only supports single process single device mode, 2024-12-18T00:12:46.9680446Z only exactly one tensor is stored in this bucket. 2024-12-18T00:12:46.9680716Z 2024-12-18T00:12:46.9680804Z Returns: 2024-12-18T00:12:46.9681178Z Future handler of the communication, which updates the gradients in place. 2024-12-18T00:12:46.9681624Z 2024-12-18T00:12:46.9681749Z Example:: 2024-12-18T00:12:46.9681966Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.9682440Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-12-18T00:12:46.9683003Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-12-18T00:12:46.9683453Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-12-18T00:12:46.9683726Z 2024-12-18T00:12:46.9683992Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9684354Z 2024-12-18T00:12:46.9699044Z 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=37. 2024-12-18T00:12:46.9700165Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9700536Z 2024-12-18T00:12:46.9700739Z Averages parameters periodically after the warm-up stage. 2024-12-18T00:12:46.9701034Z 2024-12-18T00:12:46.9701290Z This can be used for running `post-local SGD `_, 2024-12-18T00:12:46.9701863Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-12-18T00:12:46.9702410Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-12-18T00:12:46.9702840Z 2024-12-18T00:12:46.9702928Z Args: 2024-12-18T00:12:46.9703229Z period (int): The number of steps per model averaging. 2024-12-18T00:12:46.9703785Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-12-18T00:12:46.9704294Z Otherwise, only DDP needs to be used. 2024-12-18T00:12:46.9704823Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-12-18T00:12:46.9705276Z model averaging is skipped. 2024-12-18T00:12:46.9705705Z process_group: The process group to be used for all-reduce. 2024-12-18T00:12:46.9706152Z If ``None``, the default process group, which 2024-12-18T00:12:46.9706595Z is created by :func:`torch.distributed.init_process_group`, 2024-12-18T00:12:46.9707031Z will be used. (default: ``None``) 2024-12-18T00:12:46.9707276Z 2024-12-18T00:12:46.9707375Z Example:: 2024-12-18T00:12:46.9707511Z 2024-12-18T00:12:46.9707635Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:46.9707969Z >>> import torch 2024-12-18T00:12:46.9708274Z >>> import torch.distributed as dist 2024-12-18T00:12:46.9708808Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-12-18T00:12:46.9709508Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-12-18T00:12:46.9710005Z >>> import torch.nn as nn 2024-12-18T00:12:46.9710281Z >>> 2024-12-18T00:12:46.9710581Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-12-18T00:12:46.9710971Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:46.9711315Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-12-18T00:12:46.9711715Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:46.9712126Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:46.9712475Z >>> ) 2024-12-18T00:12:46.9712736Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:46.9713290Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-12-18T00:12:46.9713928Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:46.9714438Z >>> 2024-12-18T00:12:46.9714958Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-12-18T00:12:46.9715838Z >>> # After 100 steps, run model averaging every 4 steps. 2024-12-18T00:12:46.9716413Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:46.9717094Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-12-18T00:12:46.9717567Z >>> for step in range(0, 200): 2024-12-18T00:12:46.9717877Z >>> optimizer.zero_grad() 2024-12-18T00:12:46.9718188Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:46.9718504Z >>> loss.backward() 2024-12-18T00:12:46.9718784Z >>> optimizer.step() 2024-12-18T00:12:46.9719164Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-12-18T00:12:46.9719678Z >>> # inter-node communication only occurs every 4 iterations after 2024-12-18T00:12:46.9720127Z >>> # the initial ``warmup_steps`` period. 2024-12-18T00:12:46.9720516Z >>> averager.average_parameters(model.parameters()) 2024-12-18T00:12:46.9720801Z 2024-12-18T00:12:46.9721053Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9721511Z 2024-12-18T00:12:46.9722393Z 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. 2024-12-18T00:12:46.9723582Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9723970Z 2024-12-18T00:12:46.9724375Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-12-18T00:12:46.9724831Z 2024-12-18T00:12:46.9725138Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-12-18T00:12:46.9725770Z by using different periods concurrently after the warm-up stage. 2024-12-18T00:12:46.9726519Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-12-18T00:12:46.9727399Z that supports `post-local SGD `_, which essentially only supports 2024-12-18T00:12:46.9728154Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-12-18T00:12:46.9728911Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-12-18T00:12:46.9729680Z Similarly, the process groups within this class do not have such an intra-machine process 2024-12-18T00:12:46.9730376Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-12-18T00:12:46.9730766Z 2024-12-18T00:12:46.9730864Z Args: 2024-12-18T00:12:46.9731281Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-12-18T00:12:46.9731865Z process group size, used for initializing process groups of 2024-12-18T00:12:46.9732403Z different sizes in a hierarchy to average parameters concurrently. 2024-12-18T00:12:46.9732966Z Particularly, at each iteration, there will be at most a single 2024-12-18T00:12:46.9733539Z process group that runs averaging -- the period of such group should 2024-12-18T00:12:46.9734103Z have the largest period which the current step can be divided by. 2024-12-18T00:12:46.9734605Z For example, if the dict has three keys: 2, 4, and 8, 2024-12-18T00:12:46.9735098Z then this means totally three process groups will be created to 2024-12-18T00:12:46.9735623Z average parameters every 2, 4, and 8 iterations, respectively. 2024-12-18T00:12:46.9736142Z At the 4th iteration, only the second process group will run 2024-12-18T00:12:46.9736630Z averaging, because the first process group should be a 2024-12-18T00:12:46.9737154Z subset of the second process group, and no need to execute the first 2024-12-18T00:12:46.9737626Z process group redundantly. 2024-12-18T00:12:46.9738065Z On the other hand, the third process group can only be triggered 2024-12-18T00:12:46.9738606Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-12-18T00:12:46.9739258Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-12-18T00:12:46.9740121Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-12-18T00:12:46.9740858Z If ``None``, the default process group, which is created 2024-12-18T00:12:46.9741367Z by :func:`torch.distributed.init_process_group`, will be used. 2024-12-18T00:12:46.9741825Z (default: ``None``) 2024-12-18T00:12:46.9751816Z 2024-12-18T00:12:46.9752036Z Example:: 2024-12-18T00:12:46.9752295Z >>> # xdoctest: +SKIP('undefined rank') 2024-12-18T00:12:46.9752669Z >>> from collections import OrderedDict 2024-12-18T00:12:46.9753000Z >>> import torch 2024-12-18T00:12:46.9753281Z >>> import torch.distributed as dist 2024-12-18T00:12:46.9753775Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-12-18T00:12:46.9754286Z >>> PostLocalSGDState, 2024-12-18T00:12:46.9754676Z >>> post_localSGD_hook, 2024-12-18T00:12:46.9754957Z >>> ) 2024-12-18T00:12:46.9755470Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-12-18T00:12:46.9756057Z >>> import torch.nn as nn 2024-12-18T00:12:46.9756341Z >>> 2024-12-18T00:12:46.9756648Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-12-18T00:12:46.9757118Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:46.9757472Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-12-18T00:12:46.9757866Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:46.9758554Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:46.9758904Z >>> ) 2024-12-18T00:12:46.9759182Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:46.9759724Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-12-18T00:12:46.9760231Z >>> subgroup, _ = dist.new_subgroups() 2024-12-18T00:12:46.9760775Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-12-18T00:12:46.9761513Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:46.9761888Z >>> 2024-12-18T00:12:46.9762300Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-12-18T00:12:46.9762833Z >>> # the 16 processes every 16 iterations. 2024-12-18T00:12:46.9763244Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-12-18T00:12:46.9763775Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-12-18T00:12:46.9764443Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:46.9765140Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-12-18T00:12:46.9765679Z >>> # After 100 steps, run model averaging at two levels. 2024-12-18T00:12:46.9766063Z >>> for step in range(0, 200): 2024-12-18T00:12:46.9766363Z >>> optimizer.zero_grad() 2024-12-18T00:12:46.9766678Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:46.9767004Z >>> loss.backward() 2024-12-18T00:12:46.9767288Z >>> optimizer.step() 2024-12-18T00:12:46.9767630Z >>> # Average parameters after ``optimizer.step()``. 2024-12-18T00:12:46.9768179Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-12-18T00:12:46.9768745Z >>> averager.average_parameters(model.parameters()) 2024-12-18T00:12:46.9769028Z 2024-12-18T00:12:46.9769126Z .. warning :: 2024-12-18T00:12:46.9769516Z The last group size in the dict must be the size of the provided ``process_group``, 2024-12-18T00:12:46.9770123Z which indicates model averaging at the highest level of the hierarchy. 2024-12-18T00:12:46.9770763Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-12-18T00:12:46.9771194Z 2024-12-18T00:12:46.9771286Z .. warning :: 2024-12-18T00:12:46.9771661Z `HierarchicalModelAverager` is experimental and subject to change. 2024-12-18T00:12:46.9772017Z 2024-12-18T00:12:46.9772267Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9772627Z 2024-12-18T00:12:46.9913339Z 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. 2024-12-18T00:12:46.9914411Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9914786Z 2024-12-18T00:12:46.9915089Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-12-18T00:12:46.9915750Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-12-18T00:12:46.9916193Z 2024-12-18T00:12:46.9916429Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-12-18T00:12:46.9916813Z 2024-12-18T00:12:46.9916913Z .. warning:: 2024-12-18T00:12:46.9917230Z Current implementation only supports loading Tensors. 2024-12-18T00:12:46.9917529Z 2024-12-18T00:12:46.9917646Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:46.9917973Z >>> sd = {"mode": model} 2024-12-18T00:12:46.9918237Z >>> dcp.load( 2024-12-18T00:12:46.9918453Z >>> sd, 2024-12-18T00:12:46.9918823Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-12-18T00:12:46.9919219Z >>> planner=DynamicMetaLoadPlanner(), 2024-12-18T00:12:46.9919576Z >>> checkpoint_id="path_to_model.pt" 2024-12-18T00:12:46.9919890Z >>> ) 2024-12-18T00:12:46.9920005Z 2024-12-18T00:12:46.9920255Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9920651Z 2024-12-18T00:12:46.9921319Z 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. 2024-12-18T00:12:46.9922435Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9922823Z 2024-12-18T00:12:46.9923227Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-12-18T00:12:46.9924031Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-12-18T00:12:46.9924595Z metadata file, like Torch Save files. 2024-12-18T00:12:46.9924808Z 2024-12-18T00:12:46.9925003Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-12-18T00:12:46.9925291Z 2024-12-18T00:12:46.9925385Z .. warning:: 2024-12-18T00:12:46.9925701Z Current implementation only supports loading Tensors. 2024-12-18T00:12:46.9925993Z 2024-12-18T00:12:46.9926108Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:46.9926428Z >>> sd = {"mode": model} 2024-12-18T00:12:46.9926691Z >>> dcp.load( 2024-12-18T00:12:46.9926905Z >>> sd, 2024-12-18T00:12:46.9927192Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-12-18T00:12:46.9927582Z >>> planner=DynamicMetaLoadPlanner(), 2024-12-18T00:12:46.9927934Z >>> checkpoint_id="path_to_model.pt" 2024-12-18T00:12:46.9928245Z >>> ) 2024-12-18T00:12:46.9928363Z 2024-12-18T00:12:46.9928614Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9928993Z 2024-12-18T00:12:46.9969039Z 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. 2024-12-18T00:12:46.9970097Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9970485Z 2024-12-18T00:12:46.9970695Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-12-18T00:12:46.9971027Z 2024-12-18T00:12:46.9971193Z This is the current recommended way to checkpoint FSDP. 2024-12-18T00:12:46.9971573Z >>> # xdoctest: +SKIP 2024-12-18T00:12:46.9971898Z >>> import torch.distributed.checkpoint as dist_cp 2024-12-18T00:12:46.9972244Z >>> # Save 2024-12-18T00:12:46.9972477Z >>> model: torch.nn.Model 2024-12-18T00:12:46.9972779Z >>> optim_params = model.parameters() 2024-12-18T00:12:46.9973143Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-12-18T00:12:46.9973504Z >>> # Save 2024-12-18T00:12:46.9973851Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-12-18T00:12:46.9974273Z >>> state_dict = { 2024-12-18T00:12:46.9974595Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-12-18T00:12:46.9974979Z >>> "model": model.state_dict() 2024-12-18T00:12:46.9975286Z >>> } 2024-12-18T00:12:46.9975520Z >>> dist_cp.save_state_dict( 2024-12-18T00:12:46.9975809Z >>> state_dict=optim_state, 2024-12-18T00:12:46.9976201Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-12-18T00:12:46.9976632Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-12-18T00:12:46.9977063Z >>> ) 2024-12-18T00:12:46.9977275Z >>> 2024-12-18T00:12:46.9977468Z >>> # Load 2024-12-18T00:12:46.9977829Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-12-18T00:12:46.9978307Z >>> model_state_dict = model_tp.state_dict() 2024-12-18T00:12:46.9978652Z >>> checkpoint = { 2024-12-18T00:12:46.9978925Z >>> "model": model_state_dict 2024-12-18T00:12:46.9979256Z >>> } 2024-12-18T00:12:46.9979523Z >>> dist_cp.load_state_dict( 2024-12-18T00:12:46.9979830Z >>> state_dict=checkpoint, 2024-12-18T00:12:46.9980232Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-12-18T00:12:46.9980675Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-12-18T00:12:46.9980996Z >>> ) 2024-12-18T00:12:46.9981274Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-12-18T00:12:46.9981628Z >>> 2024-12-18T00:12:46.9981929Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-12-18T00:12:46.9982320Z >>> model_state_dict, 2024-12-18T00:12:46.9982605Z >>> optimizer_key="optimizer", 2024-12-18T00:12:46.9983005Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-12-18T00:12:46.9983425Z >>> ) 2024-12-18T00:12:46.9983633Z >>> 2024-12-18T00:12:46.9983903Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:46.9984292Z >>> model, optim, optim_state["optimizer"] 2024-12-18T00:12:46.9984611Z >>> ) 2024-12-18T00:12:46.9984824Z >>> 2024-12-18T00:12:46.9985063Z >>> optim.load_state_dict(flattened_osd) 2024-12-18T00:12:46.9985290Z 2024-12-18T00:12:46.9985550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:46.9985910Z 2024-12-18T00:12:46.9993025Z 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. 2024-12-18T00:12:46.9994024Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:46.9994401Z 2024-12-18T00:12:46.9994681Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-12-18T00:12:46.9995095Z 2024-12-18T00:12:46.9995388Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-12-18T00:12:46.9995805Z 2024-12-18T00:12:46.9996079Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-12-18T00:12:46.9996599Z will be visible to the whole process. 2024-12-18T00:12:46.9996826Z 2024-12-18T00:12:46.9997098Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-12-18T00:12:46.9997490Z 2024-12-18T00:12:46.9997625Z 1) set_up_planner - called on all ranks. 2024-12-18T00:12:46.9997985Z Signals the start of a checkpoint save. 2024-12-18T00:12:46.9998212Z 2024-12-18T00:12:46.9998337Z 2) create_local_plan - called on all ranks. 2024-12-18T00:12:46.9998855Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-12-18T00:12:46.9999264Z 2024-12-18T00:12:46.9999445Z 3) create_global_plan - called on the coordinator rank only. 2024-12-18T00:12:47.0000033Z Takes the SavePlan from all ranks and make any global decision. 2024-12-18T00:12:47.0000387Z 2024-12-18T00:12:47.0000514Z 4) finish_plan - called on all ranks. 2024-12-18T00:12:47.0000945Z This gives each rank a chance to adjust to global planning decisions. 2024-12-18T00:12:47.0001276Z 2024-12-18T00:12:47.0001500Z 5) resolve_data - called multiple times on each rank 2024-12-18T00:12:47.0001975Z Lookups a value on the `state_dict` for the storage layer to write. 2024-12-18T00:12:47.0002300Z 2024-12-18T00:12:47.0002648Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-12-18T00:12:47.0003253Z most changes can be expressed by changes in a single method. 2024-12-18T00:12:47.0003545Z 2024-12-18T00:12:47.0003668Z There are 3 usual patterns of extension: 2024-12-18T00:12:47.0003974Z 2024-12-18T00:12:47.0004225Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-12-18T00:12:47.0004832Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-12-18T00:12:47.0005185Z 2024-12-18T00:12:47.0005303Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0005663Z >>> class RenamePlanner(DefaultSavePlanner): 2024-12-18T00:12:47.0006007Z >>> def set_up_planner( 2024-12-18T00:12:47.0006353Z >>> self, 2024-12-18T00:12:47.0006619Z >>> state_dict: STATE_DICT_TYPE, 2024-12-18T00:12:47.0006963Z >>> storage_meta: Optional[StorageMeta], 2024-12-18T00:12:47.0007310Z >>> is_coordinator: bool, 2024-12-18T00:12:47.0007605Z >>> ) -> None: 2024-12-18T00:12:47.0007855Z >>> # prefix all keys with `foo_`` 2024-12-18T00:12:47.0008370Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2024-12-18T00:12:47.0008778Z 2024-12-18T00:12:47.0009103Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-12-18T00:12:47.0009540Z 2024-12-18T00:12:47.0009698Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0010054Z >>> class FP16Planner(DefaultSavePlanner): 2024-12-18T00:12:47.0010385Z >>> def create_local_plan(self): 2024-12-18T00:12:47.0010717Z >>> plan = super().create_local_plan() 2024-12-18T00:12:47.0011052Z >>> for p in plan: 2024-12-18T00:12:47.0011350Z >>> if p.tensor_data is not None: 2024-12-18T00:12:47.0011744Z >>> p.tensor_data.properties.dtype = torch.float16 2024-12-18T00:12:47.0012117Z >>> return plan 2024-12-18T00:12:47.0012352Z >>> 2024-12-18T00:12:47.0012590Z >>> def resolve_data(self, write_item): 2024-12-18T00:12:47.0012944Z >>> item = super().resolve_data(write_item) 2024-12-18T00:12:47.0013455Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-12-18T00:12:47.0013839Z 2024-12-18T00:12:47.0014184Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-12-18T00:12:47.0014632Z 2024-12-18T00:12:47.0014750Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0015088Z >>> from itertools import zip_longest 2024-12-18T00:12:47.0015417Z >>> from dataclasses import replace 2024-12-18T00:12:47.0015797Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-12-18T00:12:47.0016354Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-12-18T00:12:47.0016873Z >>> # This sample doesn't handle ShardedTensors 2024-12-18T00:12:47.0017254Z >>> def create_global_plan(self, all_plans): 2024-12-18T00:12:47.0017644Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2024-12-18T00:12:47.0018016Z >>> items_per_rank = [ 2024-12-18T00:12:47.0018344Z >>> [item for item in items if item is not None] 2024-12-18T00:12:47.0018746Z >>> for items in zip(*zip_longest(*iters), strict=True) 2024-12-18T00:12:47.0019116Z >>> ] 2024-12-18T00:12:47.0019350Z >>> all_plans = [ 2024-12-18T00:12:47.0019640Z >>> replace(plan, items=items) 2024-12-18T00:12:47.0020052Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2024-12-18T00:12:47.0020436Z >>> ] 2024-12-18T00:12:47.0020716Z >>> return super().create_global_plan(all_plans) 2024-12-18T00:12:47.0020982Z 2024-12-18T00:12:47.0021246Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-12-18T00:12:47.0021904Z accomplished by having each rank contribute their data items in the local plan and 2024-12-18T00:12:47.0022412Z the global planner aggregate them: 2024-12-18T00:12:47.0022621Z 2024-12-18T00:12:47.0022754Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0023121Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-12-18T00:12:47.0023521Z >>> def create_local_plan(self) -> SavePlan: 2024-12-18T00:12:47.0023918Z >>> plan = super().create_local_plan() 2024-12-18T00:12:47.0024315Z >>> return replace(plan, planner_data="per-rank-data") 2024-12-18T00:12:47.0024682Z >>> 2024-12-18T00:12:47.0025089Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-12-18T00:12:47.0025702Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-12-18T00:12:47.0026230Z >>> merged_data = [p.planner_data for p in global_plan] 2024-12-18T00:12:47.0026675Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-12-18T00:12:47.0027071Z >>> return global_plan, metadata 2024-12-18T00:12:47.0027286Z 2024-12-18T00:12:47.0027545Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0027905Z 2024-12-18T00:12:47.0028487Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=272. 2024-12-18T00:12:47.0029439Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.0029822Z 2024-12-18T00:12:47.0030130Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2024-12-18T00:12:47.0030542Z 2024-12-18T00:12:47.0030823Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2024-12-18T00:12:47.0031234Z 2024-12-18T00:12:47.0031512Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-12-18T00:12:47.0032031Z will be visible to the whole process. 2024-12-18T00:12:47.0032243Z 2024-12-18T00:12:47.0032528Z A planner subclass can expect the following sequence of calls during load_state_dict: 2024-12-18T00:12:47.0032920Z 2024-12-18T00:12:47.0033054Z 1) set_up_planner - called on all ranks. 2024-12-18T00:12:47.0033406Z Signals the start of loading a checkpoint. 2024-12-18T00:12:47.0033657Z 2024-12-18T00:12:47.0033784Z 2) create_local_plan - called on all ranks. 2024-12-18T00:12:47.0034301Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2024-12-18T00:12:47.0034696Z 2024-12-18T00:12:47.0034889Z 3) create_global_plan - called on the coordinator rank only. 2024-12-18T00:12:47.0035378Z Takes the LoadPlan from all ranks and make any global decision. 2024-12-18T00:12:47.0035683Z 2024-12-18T00:12:47.0035843Z 4) load_bytes - called multiple times on each rank 2024-12-18T00:12:47.0036255Z This is called once per non-tensor value in state_dict. 2024-12-18T00:12:47.0036540Z 2024-12-18T00:12:47.0036759Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2024-12-18T00:12:47.0037277Z They are called in pair for each Tensor value in state_dict. 2024-12-18T00:12:47.0037564Z 2024-12-18T00:12:47.0037873Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2024-12-18T00:12:47.0038473Z most changes can be expressed by changes in a single method. 2024-12-18T00:12:47.0038764Z 2024-12-18T00:12:47.0038907Z There are two usual patterns of extension: 2024-12-18T00:12:47.0039136Z 2024-12-18T00:12:47.0039389Z Rewriting state_dict. This is the simplest way to extend the load process as it 2024-12-18T00:12:47.0040013Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2024-12-18T00:12:47.0040616Z to keep a reference to the original state_dict as load happens in place so 2024-12-18T00:12:47.0041089Z we need to be able to perform it in place 2024-12-18T00:12:47.0041314Z 2024-12-18T00:12:47.0041522Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0041888Z >>> class RenamePlanner(DefaultLoadPlanner): 2024-12-18T00:12:47.0042228Z >>> def set_up_planner( 2024-12-18T00:12:47.0042508Z >>> self, 2024-12-18T00:12:47.0042766Z >>> state_dict: STATE_DICT_TYPE, 2024-12-18T00:12:47.0043091Z >>> metadata: Metadata, 2024-12-18T00:12:47.0043389Z >>> is_coordinator: bool, 2024-12-18T00:12:47.0043709Z >>> ) -> None: 2024-12-18T00:12:47.0043987Z >>> self.original_state_dict = state_dict 2024-12-18T00:12:47.0044406Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2024-12-18T00:12:47.0044782Z >>> 2024-12-18T00:12:47.0045019Z >>> if self.flatten_sharded_tensors: 2024-12-18T00:12:47.0045395Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2024-12-18T00:12:47.0045780Z >>> 2024-12-18T00:12:47.0046036Z >>> if self.flatten_state_dict: 2024-12-18T00:12:47.0046441Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2024-12-18T00:12:47.0046832Z >>> 2024-12-18T00:12:47.0047046Z >>> self.state_dict = state_dict 2024-12-18T00:12:47.0047371Z >>> self.metadata = metadata 2024-12-18T00:12:47.0047704Z >>> self.is_coordinator = is_coordinator 2024-12-18T00:12:47.0048023Z >>> 2024-12-18T00:12:47.0048251Z >>> def load_bytes(self, read_item, value): 2024-12-18T00:12:47.0048596Z >>> # Remove the "foo_" prefix 2024-12-18T00:12:47.0049120Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2024-12-18T00:12:47.0049556Z 2024-12-18T00:12:47.0049587Z 2024-12-18T00:12:47.0049845Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2024-12-18T00:12:47.0050215Z 2024-12-18T00:12:47.0050341Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.0050723Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2024-12-18T00:12:47.0051113Z >>> def resolve_tensor(self, read_item): 2024-12-18T00:12:47.0051463Z >>> tensor = super().resolve_tensor(read_item) 2024-12-18T00:12:47.0051859Z >>> return torch.empty_like(tensor, device="cpu") 2024-12-18T00:12:47.0052213Z >>> 2024-12-18T00:12:47.0052468Z >>> def commit_tensor(self, read_item, tensor): 2024-12-18T00:12:47.0052869Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2024-12-18T00:12:47.0053133Z 2024-12-18T00:12:47.0053386Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0053755Z 2024-12-18T00:12:47.0177665Z 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. 2024-12-18T00:12:47.0178636Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.0179028Z 2024-12-18T00:12:47.0179175Z Load a distributed ``state_dict`` in SPMD style. 2024-12-18T00:12:47.0179438Z 2024-12-18T00:12:47.0179619Z Each rank will try to read the least amount of data necessary 2024-12-18T00:12:47.0180155Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-12-18T00:12:47.0180759Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-12-18T00:12:47.0181118Z 2024-12-18T00:12:47.0181406Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-12-18T00:12:47.0182049Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-12-18T00:12:47.0182586Z ``load_state_dict`` once the deserialization is complete. 2024-12-18T00:12:47.0183131Z For each non-``Stateful`` object, load will deserailize the object, and then replace 2024-12-18T00:12:47.0183663Z it in the ``state_dict`` with the deserialized object. 2024-12-18T00:12:47.0183933Z 2024-12-18T00:12:47.0184037Z .. warning:: 2024-12-18T00:12:47.0184349Z All tensors in ``state_dict`` must be allocated on their 2024-12-18T00:12:47.0184798Z destination device *prior to* calling this function. 2024-12-18T00:12:47.0185069Z 2024-12-18T00:12:47.0185295Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-12-18T00:12:47.0185736Z on state_dict. 2024-12-18T00:12:47.0185897Z 2024-12-18T00:12:47.0185989Z .. warning:: 2024-12-18T00:12:47.0186332Z Users must call `load_state_dict` on the root module to ensure load 2024-12-18T00:12:47.0186838Z pos-processing and non-tensor data properly propagates. 2024-12-18T00:12:47.0187244Z 2024-12-18T00:12:47.0187347Z .. note: 2024-12-18T00:12:47.0187693Z If no process group is initialized, this function will assume the intent 2024-12-18T00:12:47.0188259Z is to load a checkpoint into the local process. This can be useful in the 2024-12-18T00:12:47.0188849Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-12-18T00:12:47.0189398Z or ShardedTensor) 2024-12-18T00:12:47.0189559Z 2024-12-18T00:12:47.0189658Z .. note: 2024-12-18T00:12:47.0189909Z Rank 0 is assumed to be the coordinator rank. 2024-12-18T00:12:47.0190170Z 2024-12-18T00:12:47.0190254Z Args: 2024-12-18T00:12:47.0190537Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:47.0190946Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:47.0191415Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:47.0191931Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:47.0192419Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:47.0192797Z (Default: ``None``) 2024-12-18T00:12:47.0193146Z storage_reader (Optional[StorageReader]): 2024-12-18T00:12:47.0193594Z Instance of StorageWriter used to perform reads. If this is not 2024-12-18T00:12:47.0194120Z specified, DCP will automatically infer the reader based on the 2024-12-18T00:12:47.0194627Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:47.0195057Z be raised. (Default: ``None``) 2024-12-18T00:12:47.0195392Z planner (Optional[LoadPlanner]): 2024-12-18T00:12:47.0195818Z Instance of LoadPlanner. If this is not specificed, the default 2024-12-18T00:12:47.0196262Z planner will be used. (Default: ``None``) 2024-12-18T00:12:47.0196621Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:47.0197046Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:47.0197444Z (Default: ``None``) 2024-12-18T00:12:47.0197615Z 2024-12-18T00:12:47.0197713Z Returns: 2024-12-18T00:12:47.0197925Z None. 2024-12-18T00:12:47.0198045Z 2024-12-18T00:12:47.0198133Z Examples 2024-12-18T00:12:47.0198358Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.0198634Z >>> my_model = MyModule() 2024-12-18T00:12:47.0198955Z >>> optimizer = Adagrad(my_model.parameters()) 2024-12-18T00:12:47.0199335Z >>> model_state_dict = my_model.state_dict() 2024-12-18T00:12:47.0199857Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-12-18T00:12:47.0200281Z 2024-12-18T00:12:47.0200440Z >>> torch.distributed.checkpoint.load_state_dict( 2024-12-18T00:12:47.0200824Z >>> state_dict=model_state_dict, 2024-12-18T00:12:47.0201166Z >>> storage_reader=fs_storage_reader, 2024-12-18T00:12:47.0201559Z >>> ) 2024-12-18T00:12:47.0201684Z 2024-12-18T00:12:47.0201991Z >>> # module.load_state_dict() function might have customized steps 2024-12-18T00:12:47.0202572Z >>> # to flush the state_dict, must call it to 2024-12-18T00:12:47.0203229Z >>> # ensure correct behavior. 2024-12-18T00:12:47.0203614Z >>> my_model.load_state_dict(model_state_dict) 2024-12-18T00:12:47.0203853Z 2024-12-18T00:12:47.0203960Z .. note:: 2024-12-18T00:12:47.0204300Z load_state_dict uses collectives to coordinate reads across ranks. 2024-12-18T00:12:47.0204829Z For NCCL-based process groups, internal tensor representations of 2024-12-18T00:12:47.0205386Z objects must be moved to the GPU device before communication takes place. 2024-12-18T00:12:47.0205950Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-12-18T00:12:47.0206510Z and it is the user's responsibility to ensure that this is set so that each 2024-12-18T00:12:47.0207040Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-12-18T00:12:47.0207332Z 2024-12-18T00:12:47.0207659Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0208019Z 2024-12-18T00:12:47.0208845Z 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. 2024-12-18T00:12:47.0210190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.0210637Z 2024-12-18T00:12:47.0210799Z Save a distributed model in SPMD style. 2024-12-18T00:12:47.0211020Z 2024-12-18T00:12:47.0211209Z This function is different from ``torch.save()`` as it handles 2024-12-18T00:12:47.0211765Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-12-18T00:12:47.0212145Z 2024-12-18T00:12:47.0212397Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-12-18T00:12:47.0212927Z save will call ``state_dict`` before serialization. 2024-12-18T00:12:47.0213181Z 2024-12-18T00:12:47.0213288Z .. warning:: 2024-12-18T00:12:47.0213655Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-12-18T00:12:47.0214094Z for saved state_dicts. 2024-12-18T00:12:47.0214305Z 2024-12-18T00:12:47.0214397Z .. warning:: 2024-12-18T00:12:47.0214738Z If using the `process_group` argument, make sure that only its ranks 2024-12-18T00:12:47.0215264Z call `save_state_dict` and that all data in state_dict belong to it. 2024-12-18T00:12:47.0215584Z 2024-12-18T00:12:47.0215683Z .. note:: 2024-12-18T00:12:47.0216067Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-12-18T00:12:47.0216684Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-12-18T00:12:47.0217179Z group needs to be passed in. 2024-12-18T00:12:47.0217387Z 2024-12-18T00:12:47.0217475Z .. note:: 2024-12-18T00:12:47.0217866Z If no process group is available, this function assumes the intention is to save the 2024-12-18T00:12:47.0218368Z state_dict in the local process. 2024-12-18T00:12:47.0218577Z 2024-12-18T00:12:47.0218662Z .. note: 2024-12-18T00:12:47.0218923Z Rank 0 is assumed to be the coordinator rank. 2024-12-18T00:12:47.0219178Z 2024-12-18T00:12:47.0219182Z 2024-12-18T00:12:47.0219266Z Args: 2024-12-18T00:12:47.0219542Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:47.0219951Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:47.0220420Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:47.0220938Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:47.0221443Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:47.0221830Z (Default: ``None``) 2024-12-18T00:12:47.0222145Z storage_writer (Optional[StorageWriter]): 2024-12-18T00:12:47.0222599Z Instance of StorageWriter used to perform writes. If this is not 2024-12-18T00:12:47.0223120Z specified, DCP will automatically infer the writer based on the 2024-12-18T00:12:47.0223645Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:47.0224083Z be raised. (Default: ``None``) 2024-12-18T00:12:47.0224422Z planner (Optional[SavePlanner]): 2024-12-18T00:12:47.0224846Z Instance of SavePlanner. If this is not specificed, the default 2024-12-18T00:12:47.0225290Z planner will be used. (Default: ``None``) 2024-12-18T00:12:47.0225671Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:47.0226098Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:47.0226494Z (Default: ``None``) 2024-12-18T00:12:47.0226666Z 2024-12-18T00:12:47.0226770Z Returns: 2024-12-18T00:12:47.0227058Z Metadata: Metadata object for the saved checkpoint. 2024-12-18T00:12:47.0227320Z 2024-12-18T00:12:47.0227408Z Example: 2024-12-18T00:12:47.0227636Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.0227950Z >>> my_model = MyModule() 2024-12-18T00:12:47.0228130Z 2024-12-18T00:12:47.0228254Z >>> state_dict = {"model": my_model} 2024-12-18T00:12:47.0228467Z 2024-12-18T00:12:47.0228779Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-12-18T00:12:47.0229316Z >>> torch.distributed.checkpoint.save( 2024-12-18T00:12:47.0229661Z >>> state_dict=state_dict, 2024-12-18T00:12:47.0230039Z >>> storage_writer=fs_storage_writer, 2024-12-18T00:12:47.0230360Z >>> ) 2024-12-18T00:12:47.0230479Z 2024-12-18T00:12:47.0230579Z .. note:: 2024-12-18T00:12:47.0230908Z save_state_dict uses collectives to coordinate writes across ranks. 2024-12-18T00:12:47.0231451Z For NCCL-based process groups, internal tensor representations of 2024-12-18T00:12:47.0232007Z objects must be moved to the GPU device before communication takes place. 2024-12-18T00:12:47.0232571Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-12-18T00:12:47.0233115Z and it is the user's responsibility to ensure that this is set so that 2024-12-18T00:12:47.0233636Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-12-18T00:12:47.0233966Z 2024-12-18T00:12:47.0234216Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0234588Z 2024-12-18T00:12:47.0235240Z 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. 2024-12-18T00:12:47.0236214Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.0236855Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2024-12-18T00:12:47.0237526Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2024-12-18T00:12:47.0237937Z 2024-12-18T00:12:47.0238030Z .. warning:: 2024-12-18T00:12:47.0238339Z This feature is experimental and subject to change. 2024-12-18T00:12:47.0238610Z 2024-12-18T00:12:47.0238708Z Args: 2024-12-18T00:12:47.0238979Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:47.0239402Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:47.0239877Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:47.0240411Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:47.0240908Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:47.0241284Z (Default: ``None``) 2024-12-18T00:12:47.0241701Z storage_writer (Optional[StorageWriter]): 2024-12-18T00:12:47.0242167Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2024-12-18T00:12:47.0242744Z this is not specified, DCP will automatically infer the writer based on the 2024-12-18T00:12:47.0243315Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:47.0243755Z be raised. (Default: ``None``) 2024-12-18T00:12:47.0244084Z planner (Optional[SavePlanner]): 2024-12-18T00:12:47.0244521Z Instance of SavePlanner. If this is not specificed, the default 2024-12-18T00:12:47.0244974Z planner will be used. (Default: ``None``) 2024-12-18T00:12:47.0245351Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:47.0245785Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:47.0246168Z (Default: ``None``) 2024-12-18T00:12:47.0246361Z 2024-12-18T00:12:47.0246453Z Returns: 2024-12-18T00:12:47.0246801Z Future: A future holding the resultant Metadata object from `save`. 2024-12-18T00:12:47.0247136Z 2024-12-18T00:12:47.0247224Z Example: 2024-12-18T00:12:47.0247458Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.0247747Z >>> my_model = MyModule() 2024-12-18T00:12:47.0247936Z 2024-12-18T00:12:47.0248085Z >>> state_dict = {"model": my_model} 2024-12-18T00:12:47.0248315Z 2024-12-18T00:12:47.0248613Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-12-18T00:12:47.0249243Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-12-18T00:12:47.0249681Z >>> state_dict=state_dict, 2024-12-18T00:12:47.0250018Z >>> storage_writer=fs_storage_writer, 2024-12-18T00:12:47.0250383Z >>> ) 2024-12-18T00:12:47.0250606Z >>> 2024-12-18T00:12:47.0250833Z >>> # ... do some work ... 2024-12-18T00:12:47.0251122Z >>> 2024-12-18T00:12:47.0251362Z >>> checkpoint_future.result() 2024-12-18T00:12:47.0251572Z 2024-12-18T00:12:47.0251654Z 2024-12-18T00:12:47.0252019Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0252390Z 2024-12-18T00:12:47.0299414Z 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. 2024-12-18T00:12:47.0300479Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.0300950Z 2024-12-18T00:12:47.0301154Z Initialize rendezvous event object and record its operations. 2024-12-18T00:12:47.0301459Z 2024-12-18T00:12:47.0301561Z Args: 2024-12-18T00:12:47.0301817Z run_id (str): The run id of the rendezvous. 2024-12-18T00:12:47.0302204Z message (str): The message describing the event. 2024-12-18T00:12:47.0302721Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2024-12-18T00:12:47.0303283Z name (str): Event name. (E.g. Current action being performed). 2024-12-18T00:12:47.0303700Z hostname (str): Hostname of the node. 2024-12-18T00:12:47.0304070Z pid (Optional[int]): The process id of the node. 2024-12-18T00:12:47.0304567Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2024-12-18T00:12:47.0305188Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2024-12-18T00:12:47.0305734Z rank (Optional[int]): The rank of the node, if known. 2024-12-18T00:12:47.0306095Z Returns: 2024-12-18T00:12:47.0306312Z None 2024-12-18T00:12:47.0306524Z Example: 2024-12-18T00:12:47.0306765Z >>> # See DynamicRendezvousHandler class 2024-12-18T00:12:47.0307095Z >>> def _record( 2024-12-18T00:12:47.0307343Z ... self, 2024-12-18T00:12:47.0307589Z ... message: str, 2024-12-18T00:12:47.0307905Z ... node_state: NodeState = NodeState.RUNNING, 2024-12-18T00:12:47.0308257Z ... rank: Optional[int] = None, 2024-12-18T00:12:47.0308568Z ... ) -> None: 2024-12-18T00:12:47.0308850Z ... construct_and_record_rdzv_event( 2024-12-18T00:12:47.0309250Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2024-12-18T00:12:47.0309658Z ... run_id=self._settings.run_id, 2024-12-18T00:12:47.0309981Z ... message=message, 2024-12-18T00:12:47.0310284Z ... node_state=node_state, 2024-12-18T00:12:47.0310622Z ... hostname=self._this_node.addr, 2024-12-18T00:12:47.0310975Z ... pid=self._this_node.pid, 2024-12-18T00:12:47.0311326Z ... local_id=self._this_node.local_id, 2024-12-18T00:12:47.0311649Z ... rank=rank, 2024-12-18T00:12:47.0311908Z ... ) 2024-12-18T00:12:47.0312053Z 2024-12-18T00:12:47.0312305Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.0312667Z 2024-12-18T00:12:47.1843643Z 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. 2024-12-18T00:12:47.1844604Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.1844985Z 2024-12-18T00:12:47.1845179Z This configures FSDP-native mixed precision training. 2024-12-18T00:12:47.1845680Z 2024-12-18T00:12:47.1845788Z Attributes: 2024-12-18T00:12:47.1846155Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-12-18T00:12:47.1846725Z parameters during forward and backward and thus the dtype for 2024-12-18T00:12:47.1847269Z forward and backward computation. Outside forward and backward, the 2024-12-18T00:12:47.1847801Z *sharded* parameters are kept in full precision (e.g. for the 2024-12-18T00:12:47.1848505Z optimizer step), and for model checkpointing, the parameters are 2024-12-18T00:12:47.1848985Z always saved in full precision. (Default: ``None``) 2024-12-18T00:12:47.1849485Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-12-18T00:12:47.1850032Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-12-18T00:12:47.1850547Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-12-18T00:12:47.1851047Z the ``param_dtype`` value, still running gradient reduction in low 2024-12-18T00:12:47.1851590Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-12-18T00:12:47.1852167Z to force gradient reduction to run in full precision. (Default: 2024-12-18T00:12:47.1852581Z ``None``) 2024-12-18T00:12:47.1852945Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-12-18T00:12:47.1853488Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-12-18T00:12:47.1854011Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-12-18T00:12:47.1854540Z dtype thereafter. For model checkpointing, the buffers are saved 2024-12-18T00:12:47.1855085Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-12-18T00:12:47.1855462Z ``None``) 2024-12-18T00:12:47.1855807Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-12-18T00:12:47.1856340Z gradients to full precision after the backward pass in preparation 2024-12-18T00:12:47.1856891Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-12-18T00:12:47.1857417Z in the dtype used for gradient reduction, which can save memory if 2024-12-18T00:12:47.1858138Z using a custom optimizer that supports running in low precision. 2024-12-18T00:12:47.1858561Z (Default: ``False``) 2024-12-18T00:12:47.1858964Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-12-18T00:12:47.1859502Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-12-18T00:12:47.1860041Z that parameter and input dtypes match for forward computation, as 2024-12-18T00:12:47.1860582Z required by many ops. This may need to be set to ``True`` when only 2024-12-18T00:12:47.1861114Z applying mixed precision to some but not all FSDP modules, in which 2024-12-18T00:12:47.1861663Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-12-18T00:12:47.1862094Z (Default: ``False``) 2024-12-18T00:12:47.1862497Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-12-18T00:12:47.1863038Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-12-18T00:12:47.1863543Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-12-18T00:12:47.1863978Z this does not do anything. (Default: ``True``) 2024-12-18T00:12:47.1864456Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-12-18T00:12:47.1864974Z module classes to ignore for mixed precision when using an 2024-12-18T00:12:47.1865462Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-12-18T00:12:47.1865970Z applied to them separately with mixed precision disabled (meaning 2024-12-18T00:12:47.1866502Z that the final FSDP construction would deviate from the specified 2024-12-18T00:12:47.1866693Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-12-18T00:12:47.1866960Z not do anything. This API is experimental and subject to change. 2024-12-18T00:12:47.1867085Z (Default: ``(_BatchNorm,)``) 2024-12-18T00:12:47.1867090Z 2024-12-18T00:12:47.1867276Z .. note:: This API is experimental and subject to change. 2024-12-18T00:12:47.1867281Z 2024-12-18T00:12:47.1867524Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-12-18T00:12:47.1867569Z 2024-12-18T00:12:47.1867810Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-12-18T00:12:47.1867939Z precision, but buffers are not. 2024-12-18T00:12:47.1867943Z 2024-12-18T00:12:47.1868146Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-12-18T00:12:47.1868366Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-12-18T00:12:47.1868593Z Disabling FSDP's mixed precision for those norm modules only means that 2024-12-18T00:12:47.1868804Z the affine parameters are kept in ``float32``. However, this incurs 2024-12-18T00:12:47.1869052Z separate all-gathers and reduce-scatters for those norm modules, which 2024-12-18T00:12:47.1869305Z may be inefficient, so if the workload permits, the user should prefer 2024-12-18T00:12:47.1869466Z to still apply mixed precision to those modules. 2024-12-18T00:12:47.1869472Z 2024-12-18T00:12:47.1869675Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-12-18T00:12:47.1869897Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-12-18T00:12:47.1870121Z modules will have FSDP applied to them separately with mixed precision 2024-12-18T00:12:47.1870296Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-12-18T00:12:47.1870312Z 2024-12-18T00:12:47.1870519Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-12-18T00:12:47.1870729Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-12-18T00:12:47.1870915Z its ``cast_root_forward_inputs`` takes precedence over its 2024-12-18T00:12:47.1871095Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-12-18T00:12:47.1871324Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-12-18T00:12:47.1871544Z sufficient for the typical case where each FSDP instance has the same 2024-12-18T00:12:47.1871782Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-12-18T00:12:47.1871969Z ``param_dtype`` at the beginning of the model's forward pass. 2024-12-18T00:12:47.1871973Z 2024-12-18T00:12:47.1872181Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-12-18T00:12:47.1872429Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-12-18T00:12:47.1872634Z values to configure casting inputs or not before each instance's 2024-12-18T00:12:47.1872844Z forward. In such a case, since the casts happen before each FSDP 2024-12-18T00:12:47.1873060Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-12-18T00:12:47.1873306Z submodules run before its FSDP submodules to avoid the activation dtype 2024-12-18T00:12:47.1873516Z being changed due to a different ``MixedPrecision`` configuration. 2024-12-18T00:12:47.1873520Z 2024-12-18T00:12:47.1873616Z Example:: 2024-12-18T00:12:47.1873636Z 2024-12-18T00:12:47.1873770Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.1873944Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-12-18T00:12:47.1874054Z >>> model[1] = FSDP( 2024-12-18T00:12:47.1874147Z >>> model[1], 2024-12-18T00:12:47.1874465Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-12-18T00:12:47.1874553Z >>> ) 2024-12-18T00:12:47.1874648Z >>> model = FSDP( 2024-12-18T00:12:47.1874747Z >>> model, 2024-12-18T00:12:47.1875050Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-12-18T00:12:47.1875180Z >>> ) 2024-12-18T00:12:47.1875185Z 2024-12-18T00:12:47.1875398Z The above shows a working example. On the other hand, if ``model[1]`` 2024-12-18T00:12:47.1875609Z were replaced with ``model[0]``, meaning that the submodule using 2024-12-18T00:12:47.1875831Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-12-18T00:12:47.1876101Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-12-18T00:12:47.1876201Z ones. 2024-12-18T00:12:47.1876206Z 2024-12-18T00:12:47.1876211Z 2024-12-18T00:12:47.1876461Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.1876466Z 2024-12-18T00:12:47.1983207Z 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=649. 2024-12-18T00:12:47.1983518Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.1983781Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-12-18T00:12:47.1983881Z 2024-12-18T00:12:47.1984147Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-12-18T00:12:47.1984370Z The target module does not have to be a FSDP module. If the target 2024-12-18T00:12:47.1984587Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-12-18T00:12:47.1984592Z 2024-12-18T00:12:47.1984809Z .. note:: This API should be called for only the top-level (root) 2024-12-18T00:12:47.1984903Z module. 2024-12-18T00:12:47.1984907Z 2024-12-18T00:12:47.1985129Z .. note:: This API enables users to transparently use the conventional 2024-12-18T00:12:47.1985319Z ``state_dict`` API to take model checkpoints in cases where the 2024-12-18T00:12:47.1985538Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-12-18T00:12:47.1985749Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-12-18T00:12:47.1985981Z instances, while dispatching into `sharded_state_dict` implementation 2024-12-18T00:12:47.1986093Z for FSDP: 2024-12-18T00:12:47.1986097Z 2024-12-18T00:12:47.1986189Z Example:: 2024-12-18T00:12:47.1986194Z 2024-12-18T00:12:47.1986352Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.1986463Z >>> model = DDP(FSDP(...)) 2024-12-18T00:12:47.1986588Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:47.1986683Z >>> model, 2024-12-18T00:12:47.1986845Z >>> StateDictType.SHARDED_STATE_DICT, 2024-12-18T00:12:47.1987096Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-12-18T00:12:47.1987321Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-12-18T00:12:47.1987437Z >>> ) 2024-12-18T00:12:47.1987566Z >>> param_state_dict = model.state_dict() 2024-12-18T00:12:47.1987753Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-12-18T00:12:47.1987758Z 2024-12-18T00:12:47.1987846Z Args: 2024-12-18T00:12:47.1987972Z module (torch.nn.Module): Root module. 2024-12-18T00:12:47.1988218Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-12-18T00:12:47.1988454Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-12-18T00:12:47.1988579Z target ``state_dict_type``. 2024-12-18T00:12:47.1988825Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-12-18T00:12:47.1988956Z for the optimizer state dict. 2024-12-18T00:12:47.1988960Z 2024-12-18T00:12:47.1989053Z Returns: 2024-12-18T00:12:47.1989288Z A StateDictSettings that include the previous state_dict type and 2024-12-18T00:12:47.1989458Z configuration for the module. 2024-12-18T00:12:47.1989545Z 2024-12-18T00:12:47.1989812Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.1989816Z 2024-12-18T00:12:47.1990679Z 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=805. 2024-12-18T00:12:47.1991492Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.1991739Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-12-18T00:12:47.1991743Z 2024-12-18T00:12:47.1992071Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-12-18T00:12:47.1992204Z :meth:`set_state_dict_type` for the detail. 2024-12-18T00:12:47.1992209Z 2024-12-18T00:12:47.1992318Z Example:: 2024-12-18T00:12:47.1992322Z 2024-12-18T00:12:47.1992455Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.1992607Z >>> model = DDP(FSDP(...)) 2024-12-18T00:12:47.1992722Z >>> with FSDP.state_dict_type( 2024-12-18T00:12:47.1992814Z >>> model, 2024-12-18T00:12:47.1992960Z >>> StateDictType.SHARDED_STATE_DICT, 2024-12-18T00:12:47.1993047Z >>> ): 2024-12-18T00:12:47.1993182Z >>> checkpoint = model.state_dict() 2024-12-18T00:12:47.1993186Z 2024-12-18T00:12:47.1993272Z Args: 2024-12-18T00:12:47.1993395Z module (torch.nn.Module): Root module. 2024-12-18T00:12:47.1993635Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-12-18T00:12:47.1993862Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-12-18T00:12:47.1994032Z configuration for the target ``state_dict_type``. 2024-12-18T00:12:47.1994264Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-12-18T00:12:47.1994479Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-12-18T00:12:47.1994565Z 2024-12-18T00:12:47.1994816Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.1994832Z 2024-12-18T00:12:47.2042636Z 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=1818. 2024-12-18T00:12:47.2042939Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2042944Z 2024-12-18T00:12:47.2043181Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-12-18T00:12:47.2043186Z 2024-12-18T00:12:47.2043390Z The given state-dict can be transformed to one of three types: 2024-12-18T00:12:47.2043692Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-12-18T00:12:47.2043697Z 2024-12-18T00:12:47.2043943Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-12-18T00:12:47.2044153Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-12-18T00:12:47.2044244Z avoid OOM. 2024-12-18T00:12:47.2044262Z 2024-12-18T00:12:47.2044499Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-12-18T00:12:47.2044702Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-12-18T00:12:47.2044801Z memory. 2024-12-18T00:12:47.2044806Z 2024-12-18T00:12:47.2045020Z For local state_dict, no transformation will be performed. But a state 2024-12-18T00:12:47.2045268Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-12-18T00:12:47.2045382Z nature (this is not supported yet). 2024-12-18T00:12:47.2045387Z 2024-12-18T00:12:47.2045494Z Example:: 2024-12-18T00:12:47.2045556Z 2024-12-18T00:12:47.2045686Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.2045923Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-12-18T00:12:47.2046107Z >>> from torch.distributed.fsdp import StateDictType 2024-12-18T00:12:47.2046431Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-12-18T00:12:47.2046838Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-12-18T00:12:47.2047033Z >>> # Save a checkpoint 2024-12-18T00:12:47.2047145Z >>> model, optim = ... 2024-12-18T00:12:47.2047251Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:47.2047339Z >>> model, 2024-12-18T00:12:47.2047472Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:47.2047603Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2047761Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2047847Z >>> ) 2024-12-18T00:12:47.2047958Z >>> state_dict = model.state_dict() 2024-12-18T00:12:47.2048141Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-12-18T00:12:47.2048286Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-12-18T00:12:47.2048427Z >>> # Load a checkpoint 2024-12-18T00:12:47.2048534Z >>> model, optim = ... 2024-12-18T00:12:47.2048698Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-12-18T00:12:47.2048806Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:47.2048898Z >>> model, 2024-12-18T00:12:47.2049027Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:47.2049158Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2049314Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2049398Z >>> ) 2024-12-18T00:12:47.2049513Z >>> model.load_state_dict(state_dict) 2024-12-18T00:12:47.2049673Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:47.2049786Z >>> model, optim, optim_state_dict 2024-12-18T00:12:47.2049887Z >>> ) 2024-12-18T00:12:47.2050011Z >>> optim.load_state_dict(optim_state_dict) 2024-12-18T00:12:47.2050016Z 2024-12-18T00:12:47.2050114Z Args: 2024-12-18T00:12:47.2050307Z model (torch.nn.Module): Root module (which may or may not be a 2024-12-18T00:12:47.2050507Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-12-18T00:12:47.2050650Z were passed into the optimizer ``optim``. 2024-12-18T00:12:47.2050835Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-12-18T00:12:47.2050941Z parameters. 2024-12-18T00:12:47.2051150Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-12-18T00:12:47.2051369Z transform. If the value is None, optim.state_dict() will be used. ( 2024-12-18T00:12:47.2051467Z Default: ``None``) 2024-12-18T00:12:47.2051705Z group (dist.ProcessGroup): Model's process group across which parameters 2024-12-18T00:12:47.2051904Z are sharded or ``None`` if using the default process group. ( 2024-12-18T00:12:47.2052005Z Default: ``None``) 2024-12-18T00:12:47.2052009Z 2024-12-18T00:12:47.2052108Z Returns: 2024-12-18T00:12:47.2052303Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-12-18T00:12:47.2052472Z ``model``. The sharding of the optimizer state is based on 2024-12-18T00:12:47.2052582Z ``state_dict_type``. 2024-12-18T00:12:47.2052586Z 2024-12-18T00:12:47.2052841Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2052846Z 2024-12-18T00:12:47.2053701Z 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=1916. 2024-12-18T00:12:47.2053974Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2053979Z 2024-12-18T00:12:47.2054328Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-12-18T00:12:47.2054364Z 2024-12-18T00:12:47.2054546Z Given a ``optim_state_dict`` that is transformed through 2024-12-18T00:12:47.2054761Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-12-18T00:12:47.2054971Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-12-18T00:12:47.2055174Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-12-18T00:12:47.2055233Z 2024-12-18T00:12:47.2055361Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.2055610Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-12-18T00:12:47.2055766Z >>> from torch.distributed.fsdp import StateDictType 2024-12-18T00:12:47.2055953Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-12-18T00:12:47.2056154Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-12-18T00:12:47.2056252Z >>> # Save a checkpoint 2024-12-18T00:12:47.2056369Z >>> model, optim = ... 2024-12-18T00:12:47.2056474Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:47.2056572Z >>> model, 2024-12-18T00:12:47.2056719Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:47.2056863Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2057006Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2057091Z >>> ) 2024-12-18T00:12:47.2057220Z >>> state_dict = model.state_dict() 2024-12-18T00:12:47.2057341Z >>> original_osd = optim.state_dict() 2024-12-18T00:12:47.2057488Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-12-18T00:12:47.2057576Z >>> model, 2024-12-18T00:12:47.2057663Z >>> optim, 2024-12-18T00:12:47.2057786Z >>> optim_state_dict=original_osd 2024-12-18T00:12:47.2057870Z >>> ) 2024-12-18T00:12:47.2058207Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-12-18T00:12:47.2058305Z >>> # Load a checkpoint 2024-12-18T00:12:47.2058418Z >>> model, optim = ... 2024-12-18T00:12:47.2058570Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-12-18T00:12:47.2058675Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:47.2058779Z >>> model, 2024-12-18T00:12:47.2058898Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:47.2059041Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2059185Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:47.2059280Z >>> ) 2024-12-18T00:12:47.2059408Z >>> model.load_state_dict(state_dict) 2024-12-18T00:12:47.2059557Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:47.2059682Z >>> model, optim, optim_state_dict 2024-12-18T00:12:47.2059767Z >>> ) 2024-12-18T00:12:47.2059895Z >>> optim.load_state_dict(optim_state_dict) 2024-12-18T00:12:47.2059912Z 2024-12-18T00:12:47.2059996Z Args: 2024-12-18T00:12:47.2060189Z model (torch.nn.Module): Root module (which may or may not be a 2024-12-18T00:12:47.2060403Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-12-18T00:12:47.2060535Z were passed into the optimizer ``optim``. 2024-12-18T00:12:47.2060730Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-12-18T00:12:47.2060823Z parameters. 2024-12-18T00:12:47.2061034Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-12-18T00:12:47.2061245Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-12-18T00:12:47.2061441Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-12-18T00:12:47.2061628Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-12-18T00:12:47.2061821Z load_directly (bool): If this is set to True, this API will also 2024-12-18T00:12:47.2062032Z call optim.load_state_dict(result) before returning the result. 2024-12-18T00:12:47.2062250Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-12-18T00:12:47.2062416Z (Default: ``False``) 2024-12-18T00:12:47.2062670Z group (dist.ProcessGroup): Model's process group across which parameters 2024-12-18T00:12:47.2062859Z are sharded or ``None`` if using the default process group. ( 2024-12-18T00:12:47.2062974Z Default: ``None``) 2024-12-18T00:12:47.2062978Z 2024-12-18T00:12:47.2063230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2063271Z 2024-12-18T00:12:47.2485876Z 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. 2024-12-18T00:12:47.2486176Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2486197Z 2024-12-18T00:12:47.2486424Z RemoteModule instance can only be created after RPC initialization. 2024-12-18T00:12:47.2486429Z 2024-12-18T00:12:47.2486624Z It creates a user-specified module on a specified remote node. 2024-12-18T00:12:47.2486872Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-12-18T00:12:47.2486981Z executed on the remote node. 2024-12-18T00:12:47.2487272Z It takes care of autograd recording to ensure the backward pass propagates 2024-12-18T00:12:47.2487428Z gradients back to the corresponding remote module. 2024-12-18T00:12:47.2487797Z It can be shared across processors using `RPC framework `__, 2024-12-18T00:12:47.2488000Z without incurring any overheads of copying the actual module, 2024-12-18T00:12:47.2488200Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-12-18T00:12:47.2488331Z pointing to the remote module. 2024-12-18T00:12:47.2488335Z 2024-12-18T00:12:47.2488534Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-12-18T00:12:47.2488753Z the ``forward`` method of the module returned by the ``module_cls``. 2024-12-18T00:12:47.2488757Z 2024-12-18T00:12:47.2489063Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-12-18T00:12:47.2489070Z 2024-12-18T00:12:47.2489338Z Particularly, to create a hybrid model, typically the local modules should be 2024-12-18T00:12:47.2489710Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-12-18T00:12:47.2489822Z Hybrid Example: 2024-12-18T00:12:47.2489941Z >>> class HybridModel(nn.Module): 2024-12-18T00:12:47.2490060Z >>> def __init__(self) -> None: 2024-12-18T00:12:47.2490183Z >>> nn.Module.__init__(self) 2024-12-18T00:12:47.2490328Z >>> self.remote_embedding = RemoteModule(...) 2024-12-18T00:12:47.2490469Z >>> self.local_linear = nn.Linear(...) 2024-12-18T00:12:47.2490474Z 2024-12-18T00:12:47.2490672Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-12-18T00:12:47.2490936Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-12-18T00:12:47.2491144Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-12-18T00:12:47.2491276Z ``def forward(input: Tensor) -> Tensor:`` and 2024-12-18T00:12:47.2491452Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-12-18T00:12:47.2491457Z 2024-12-18T00:12:47.2491561Z .. note:: 2024-12-18T00:12:47.2491718Z If the remote module is placed on a cuda device, 2024-12-18T00:12:47.2491953Z any input CPU tensors will be automatically moved to the same cuda device, 2024-12-18T00:12:47.2492354Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-12-18T00:12:47.2492359Z 2024-12-18T00:12:47.2492444Z Args: 2024-12-18T00:12:47.2492741Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:47.2493043Z The device can be a local device or a remote device specified by one of the following remote 2024-12-18T00:12:47.2493136Z formats: 2024-12-18T00:12:47.2493209Z 2024-12-18T00:12:47.2493366Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-12-18T00:12:47.2493517Z 2. "/" (ex: "trainer0/cuda:0"). 2024-12-18T00:12:47.2493522Z 2024-12-18T00:12:47.2493782Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:47.2493898Z module_cls (nn.Module): For example, 2024-12-18T00:12:47.2494088Z >>> class MyModule(nn.Module): 2024-12-18T00:12:47.2494192Z >>> def forward(input): 2024-12-18T00:12:47.2494301Z >>> return input + 1 2024-12-18T00:12:47.2494450Z >>> 2024-12-18T00:12:47.2494566Z >>> module_cls = MyModule 2024-12-18T00:12:47.2494777Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-12-18T00:12:47.2494968Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-12-18T00:12:47.2495245Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-12-18T00:12:47.2495494Z to be created. The type object should be decorated by @torch.jit.interface. 2024-12-18T00:12:47.2495742Z If not provided, the generated RemoteModule is not torchscript-able. 2024-12-18T00:12:47.2495989Z Warning, this is an experimental API and susceptible to frequent changes. 2024-12-18T00:12:47.2495993Z 2024-12-18T00:12:47.2496080Z Returns: 2024-12-18T00:12:47.2496342Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:47.2496571Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-12-18T00:12:47.2496850Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:47.2496992Z on the user-provided module on the remote side. 2024-12-18T00:12:47.2496997Z 2024-12-18T00:12:47.2497089Z Example:: 2024-12-18T00:12:47.2497254Z Run the following code in two different processes: 2024-12-18T00:12:47.2497261Z 2024-12-18T00:12:47.2497376Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.2497486Z >>> # On worker 0: 2024-12-18T00:12:47.2497579Z >>> import torch 2024-12-18T00:12:47.2497720Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2497828Z >>> from torch import nn, Tensor 2024-12-18T00:12:47.2498050Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:47.2498152Z >>> 2024-12-18T00:12:47.2498293Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:47.2498424Z >>> remote_linear_module = RemoteModule( 2024-12-18T00:12:47.2498551Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:47.2498635Z >>> ) 2024-12-18T00:12:47.2498752Z >>> input = torch.randn(128, 20) 2024-12-18T00:12:47.2498906Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-12-18T00:12:47.2499020Z >>> ret = ret_fut.wait() 2024-12-18T00:12:47.2499115Z >>> rpc.shutdown() 2024-12-18T00:12:47.2499122Z 2024-12-18T00:12:47.2499224Z >>> # On worker 1: 2024-12-18T00:12:47.2499315Z >>> import torch 2024-12-18T00:12:47.2499438Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2499538Z >>> 2024-12-18T00:12:47.2499678Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:47.2499786Z >>> rpc.shutdown() 2024-12-18T00:12:47.2499791Z 2024-12-18T00:12:47.2500044Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2500050Z 2024-12-18T00:12:47.2500774Z 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. 2024-12-18T00:12:47.2501036Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2501040Z 2024-12-18T00:12:47.2501375Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-12-18T00:12:47.2501379Z 2024-12-18T00:12:47.2501734Z This alternate initialization method can be particularly useful if we want to create multiple 2024-12-18T00:12:47.2502066Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-12-18T00:12:47.2502070Z 2024-12-18T00:12:47.2502344Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-12-18T00:12:47.2502536Z which is not supported. The recommended way is as follows: 2024-12-18T00:12:47.2502595Z 2024-12-18T00:12:47.2502718Z 1. the sender creates a RemoteModule; 2024-12-18T00:12:47.2502878Z 2. the sender sends its ``module_rref`` over RPC; 2024-12-18T00:12:47.2503222Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-12-18T00:12:47.2503230Z 2024-12-18T00:12:47.2503371Z Example:: 2024-12-18T00:12:47.2503548Z Run the following code in two different processes: 2024-12-18T00:12:47.2503553Z 2024-12-18T00:12:47.2503670Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.2503783Z >>> # On worker 0: 2024-12-18T00:12:47.2503877Z >>> import torch 2024-12-18T00:12:47.2504015Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2504155Z >>> from torch import nn, Tensor 2024-12-18T00:12:47.2504376Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:47.2504478Z >>> 2024-12-18T00:12:47.2504616Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:47.2504747Z >>> remote_module = RemoteModule( 2024-12-18T00:12:47.2504876Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:47.2504962Z >>> ) 2024-12-18T00:12:47.2505059Z >>> 2024-12-18T00:12:47.2505168Z >>> remote_module1 = rpc.rpc_sync( 2024-12-18T00:12:47.2505277Z >>> "worker1/cpu", 2024-12-18T00:12:47.2505401Z >>> RemoteModule.init_from_module_rref, 2024-12-18T00:12:47.2505566Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-12-18T00:12:47.2505652Z >>> ) 2024-12-18T00:12:47.2505747Z >>> rpc.shutdown() 2024-12-18T00:12:47.2505751Z 2024-12-18T00:12:47.2505853Z >>> # On worker 1: 2024-12-18T00:12:47.2505943Z >>> import torch 2024-12-18T00:12:47.2506079Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2506164Z >>> 2024-12-18T00:12:47.2506302Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:47.2506407Z >>> rpc.shutdown() 2024-12-18T00:12:47.2506413Z 2024-12-18T00:12:47.2506498Z Args: 2024-12-18T00:12:47.2506802Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:47.2507090Z The device can be a local device or a remote device specified by one of the following remote 2024-12-18T00:12:47.2507190Z formats: 2024-12-18T00:12:47.2507195Z 2024-12-18T00:12:47.2507332Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-12-18T00:12:47.2507483Z 2. "/" (ex: "trainer0/cuda:0"). 2024-12-18T00:12:47.2507502Z 2024-12-18T00:12:47.2507744Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:47.2507994Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-12-18T00:12:47.2508114Z the created remote module. 2024-12-18T00:12:47.2508386Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-12-18T00:12:47.2508635Z to be created. The type object should be decorated by @torch.jit.interface. 2024-12-18T00:12:47.2508853Z If not provided, the generated RemoteModule is not torchscript-able. 2024-12-18T00:12:47.2509096Z Warning, this is an experimental API and susceptible to frequent changes. 2024-12-18T00:12:47.2509100Z 2024-12-18T00:12:47.2509187Z Returns: 2024-12-18T00:12:47.2509428Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:47.2509669Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-12-18T00:12:47.2509969Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:47.2510125Z on the user-provided module on the remote side. 2024-12-18T00:12:47.2510129Z 2024-12-18T00:12:47.2510377Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2510382Z 2024-12-18T00:12:47.2511043Z 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. 2024-12-18T00:12:47.2511328Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2511332Z 2024-12-18T00:12:47.2511571Z A RemoteModule instance can only be created after RPC initialization. 2024-12-18T00:12:47.2511576Z 2024-12-18T00:12:47.2511769Z It creates a user-specified module on a specified remote node. 2024-12-18T00:12:47.2512010Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-12-18T00:12:47.2512122Z executed on the remote node. 2024-12-18T00:12:47.2512367Z It takes care of autograd recording to ensure the backward pass propagates 2024-12-18T00:12:47.2512550Z gradients back to the corresponding remote module. 2024-12-18T00:12:47.2512556Z 2024-12-18T00:12:47.2512786Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-12-18T00:12:47.2513003Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-12-18T00:12:47.2513249Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-12-18T00:12:47.2513457Z and ``forward`` are the same as the ``forward`` method of the module 2024-12-18T00:12:47.2513567Z returned by the ``module_cls``. 2024-12-18T00:12:47.2513572Z 2024-12-18T00:12:47.2513783Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-12-18T00:12:47.2514031Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-12-18T00:12:47.2514274Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-12-18T00:12:47.2514279Z 2024-12-18T00:12:47.2514405Z | ``def forward(input: Tensor) -> Tensor:`` 2024-12-18T00:12:47.2514584Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-12-18T00:12:47.2514589Z 2024-12-18T00:12:47.2514676Z Args: 2024-12-18T00:12:47.2514969Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:47.2515321Z The format should be "/", where the device field can be parsed as torch.device type. 2024-12-18T00:12:47.2515458Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-12-18T00:12:47.2515708Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:47.2515953Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-12-18T00:12:47.2515958Z 2024-12-18T00:12:47.2516083Z >>> class MyModule(nn.Module): 2024-12-18T00:12:47.2516185Z >>> def forward(input): 2024-12-18T00:12:47.2516285Z >>> return input + 1 2024-12-18T00:12:47.2516388Z >>> 2024-12-18T00:12:47.2516488Z >>> module_cls = MyModule 2024-12-18T00:12:47.2516493Z 2024-12-18T00:12:47.2516705Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-12-18T00:12:47.2516900Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-12-18T00:12:47.2516905Z 2024-12-18T00:12:47.2517005Z Returns: 2024-12-18T00:12:47.2517245Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:47.2517472Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-12-18T00:12:47.2517768Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:47.2517911Z on the user-provided module on the remote side. 2024-12-18T00:12:47.2517945Z 2024-12-18T00:12:47.2518053Z Example:: 2024-12-18T00:12:47.2518206Z Run the following code in two different processes: 2024-12-18T00:12:47.2518211Z 2024-12-18T00:12:47.2518343Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.2518437Z >>> # On worker 0: 2024-12-18T00:12:47.2518531Z >>> import torch 2024-12-18T00:12:47.2518672Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2518779Z >>> from torch import nn, Tensor 2024-12-18T00:12:47.2519064Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:47.2519151Z >>> 2024-12-18T00:12:47.2519304Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:47.2519424Z >>> remote_linear_module = RemoteModule( 2024-12-18T00:12:47.2519554Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:47.2519661Z >>> ) 2024-12-18T00:12:47.2519769Z >>> input = torch.randn(128, 20) 2024-12-18T00:12:47.2519938Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-12-18T00:12:47.2520044Z >>> ret = ret_fut.wait() 2024-12-18T00:12:47.2520141Z >>> rpc.shutdown() 2024-12-18T00:12:47.2520146Z 2024-12-18T00:12:47.2520252Z >>> # On worker 1: 2024-12-18T00:12:47.2520392Z >>> import torch 2024-12-18T00:12:47.2520534Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2520622Z >>> 2024-12-18T00:12:47.2520777Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:47.2520882Z >>> rpc.shutdown() 2024-12-18T00:12:47.2520886Z 2024-12-18T00:12:47.2521080Z Furthermore, a more practical example that is combined with 2024-12-18T00:12:47.2521647Z `DistributedDataParallel `__ (DDP) 2024-12-18T00:12:47.2521974Z can be found in this `tutorial `__. 2024-12-18T00:12:47.2521979Z 2024-12-18T00:12:47.2522246Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2522252Z 2024-12-18T00:12:47.2654651Z 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. 2024-12-18T00:12:47.2654932Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2654936Z 2024-12-18T00:12:47.2655176Z DistributedOptimizer takes remote references to parameters scattered 2024-12-18T00:12:47.2655435Z across workers and applies the given optimizer locally for each parameter. 2024-12-18T00:12:47.2655440Z 2024-12-18T00:12:47.2655672Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-12-18T00:12:47.2655838Z to retrieve the gradients for specific parameters. 2024-12-18T00:12:47.2655843Z 2024-12-18T00:12:47.2655942Z Concurrent calls to 2024-12-18T00:12:47.2656170Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-12-18T00:12:47.2656315Z either from the same or different clients, will 2024-12-18T00:12:47.2656544Z be serialized on each worker -- as each worker's optimizer can only work 2024-12-18T00:12:47.2656759Z on one set of gradients at a time. However, there is no guarantee that 2024-12-18T00:12:47.2657000Z the full forward-backward-optimizer sequence will execute for one client 2024-12-18T00:12:47.2657229Z at a time. This means that the gradients being applied may not correspond 2024-12-18T00:12:47.2657453Z to the latest forward pass executed on a given worker. Also, there is no 2024-12-18T00:12:47.2657583Z guaranteed ordering across workers. 2024-12-18T00:12:47.2657588Z 2024-12-18T00:12:47.2657847Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-12-18T00:12:47.2658192Z by default, so that optimizer updates are not blocked by the Python Global 2024-12-18T00:12:47.2658448Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-12-18T00:12:47.2658687Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-12-18T00:12:47.2659041Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-12-18T00:12:47.2659151Z for your own custom optimizers. 2024-12-18T00:12:47.2659158Z 2024-12-18T00:12:47.2659258Z Args: 2024-12-18T00:12:47.2659456Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-12-18T00:12:47.2659563Z instantiate on each worker. 2024-12-18T00:12:47.2659825Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-12-18T00:12:47.2659951Z to optimize. 2024-12-18T00:12:47.2660176Z args: arguments to pass to the optimizer constructor on each worker. 2024-12-18T00:12:47.2660395Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-12-18T00:12:47.2660400Z 2024-12-18T00:12:47.2660509Z Example:: 2024-12-18T00:12:47.2660624Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.2660815Z >>> import torch.distributed.autograd as dist_autograd 2024-12-18T00:12:47.2660942Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:47.2661045Z >>> from torch import optim 2024-12-18T00:12:47.2661246Z >>> from torch.distributed.optim import DistributedOptimizer 2024-12-18T00:12:47.2661396Z >>> 2024-12-18T00:12:47.2661546Z >>> with dist_autograd.context() as context_id: 2024-12-18T00:12:47.2661644Z >>> # Forward pass. 2024-12-18T00:12:47.2661844Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-12-18T00:12:47.2662054Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-12-18T00:12:47.2662180Z >>> loss = rref1.to_here() + rref2.to_here() 2024-12-18T00:12:47.2662282Z >>> 2024-12-18T00:12:47.2662381Z >>> # Backward pass. 2024-12-18T00:12:47.2662545Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-12-18T00:12:47.2662629Z >>> 2024-12-18T00:12:47.2662720Z >>> # Optimizer. 2024-12-18T00:12:47.2662856Z >>> dist_optim = DistributedOptimizer( 2024-12-18T00:12:47.2662950Z >>> optim.SGD, 2024-12-18T00:12:47.2663057Z >>> [rref1, rref2], 2024-12-18T00:12:47.2663147Z >>> lr=0.05, 2024-12-18T00:12:47.2663232Z >>> ) 2024-12-18T00:12:47.2663358Z >>> dist_optim.step(context_id) 2024-12-18T00:12:47.2663363Z 2024-12-18T00:12:47.2663517Z __ https://github.com/pytorch/tutorials/pull/1465 2024-12-18T00:12:47.2663521Z 2024-12-18T00:12:47.2663788Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2663794Z 2024-12-18T00:12:47.2667962Z 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. 2024-12-18T00:12:47.2668243Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2668248Z 2024-12-18T00:12:47.2668632Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-12-18T00:12:47.2668803Z This optimizer runs local optimizer at every step. 2024-12-18T00:12:47.2669130Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-12-18T00:12:47.2669137Z 2024-12-18T00:12:47.2669238Z Args: 2024-12-18T00:12:47.2669345Z optim: The local optimizer. 2024-12-18T00:12:47.2669595Z averager: A model averager instance to run post-localSGD algorithm. 2024-12-18T00:12:47.2669602Z 2024-12-18T00:12:47.2669699Z Example:: 2024-12-18T00:12:47.2669703Z 2024-12-18T00:12:47.2669842Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:47.2669936Z >>> import torch 2024-12-18T00:12:47.2670054Z >>> import torch.distributed as dist 2024-12-18T00:12:47.2670336Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-12-18T00:12:47.2670439Z >>> import torch.nn as nn 2024-12-18T00:12:47.2670650Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-12-18T00:12:47.2670919Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-12-18T00:12:47.2671078Z >>> PostLocalSGDState, 2024-12-18T00:12:47.2671195Z >>> post_localSGD_hook, 2024-12-18T00:12:47.2671286Z >>> ) 2024-12-18T00:12:47.2671387Z >>> 2024-12-18T00:12:47.2671542Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:47.2671700Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:47.2671816Z >>> ) 2024-12-18T00:12:47.2671928Z >>> 2024-12-18T00:12:47.2672086Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:47.2672379Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-12-18T00:12:47.2672554Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:47.2672639Z >>> 2024-12-18T00:12:47.2672840Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-12-18T00:12:47.2673100Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-12-18T00:12:47.2673269Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:47.2673518Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-12-18T00:12:47.2673634Z >>> opt = PostLocalSGDOptimizer( 2024-12-18T00:12:47.2673748Z >>> optim=local_optim, 2024-12-18T00:12:47.2673992Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-12-18T00:12:47.2674081Z >>> ) 2024-12-18T00:12:47.2674176Z >>> 2024-12-18T00:12:47.2674396Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-12-18T00:12:47.2674703Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-12-18T00:12:47.2675071Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-12-18T00:12:47.2675187Z >>> for step in range(0, 200): 2024-12-18T00:12:47.2675288Z >>> opt.zero_grad() 2024-12-18T00:12:47.2675400Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:47.2675509Z >>> loss.backward() 2024-12-18T00:12:47.2675601Z >>> opt.step() 2024-12-18T00:12:47.2675608Z 2024-12-18T00:12:47.2675872Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2675876Z 2024-12-18T00:12:47.2770531Z 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. 2024-12-18T00:12:47.2770814Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2770819Z 2024-12-18T00:12:47.2771215Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-12-18T00:12:47.2771220Z 2024-12-18T00:12:47.2771363Z The sharing is done as described by ZeRO_. 2024-12-18T00:12:47.2771367Z 2024-12-18T00:12:47.2771514Z The local optimizer instance in each rank is only 2024-12-18T00:12:47.2771769Z responsible for updating approximately ``1 / world_size`` parameters and 2024-12-18T00:12:47.2771973Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-12-18T00:12:47.2772215Z parameters are updated locally, each rank will broadcast its parameters to 2024-12-18T00:12:47.2772409Z all other peers to keep all model replicas in the same state. 2024-12-18T00:12:47.2772642Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-12-18T00:12:47.2772901Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-12-18T00:12:47.2773001Z memory consumption. 2024-12-18T00:12:47.2773006Z 2024-12-18T00:12:47.2773273Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-12-18T00:12:47.2773502Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-12-18T00:12:47.2773754Z not divided among ranks. The partition is arbitrary and might not match the 2024-12-18T00:12:47.2773971Z the parameter registration or usage order. 2024-12-18T00:12:47.2773976Z 2024-12-18T00:12:47.2774079Z Arguments: 2024-12-18T00:12:47.2774272Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-12-18T00:12:47.2774460Z or :class:`dict` s giving all parameters, which will be sharded 2024-12-18T00:12:47.2774568Z across ranks. 2024-12-18T00:12:47.2774572Z 2024-12-18T00:12:47.2774705Z Keyword Args: 2024-12-18T00:12:47.2775012Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-12-18T00:12:47.2775106Z optimizer. 2024-12-18T00:12:47.2775332Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-12-18T00:12:47.2775530Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-12-18T00:12:47.2775682Z :meth:`torch.distributed.init_process_group`). 2024-12-18T00:12:47.2775925Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-12-18T00:12:47.2776141Z packed into buckets to speed up communication, and ``param.data`` 2024-12-18T00:12:47.2776356Z fields point to bucket views at different offsets; if ``False``, 2024-12-18T00:12:47.2776599Z each individual parameter is communicated separately, and each 2024-12-18T00:12:47.2776768Z ``params.data`` stays intact (default: ``False``). 2024-12-18T00:12:47.2776966Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-12-18T00:12:47.2777167Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-12-18T00:12:47.2777392Z synchronization; this requires (1) either a functional optimizer 2024-12-18T00:12:47.2777573Z for the ``optimizer_class`` argument or one with a functional 2024-12-18T00:12:47.2777759Z equivalent and (2) registering a DDP communication hook 2024-12-18T00:12:47.2777960Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-12-18T00:12:47.2787499Z parameters are packed into buckets matching those in 2024-12-18T00:12:47.2787787Z :class:`DistributedDataParallel`, meaning that the 2024-12-18T00:12:47.2787952Z ``parameters_as_bucket_view`` argument is ignored. 2024-12-18T00:12:47.2788164Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-12-18T00:12:47.2788263Z (per normal). 2024-12-18T00:12:47.2788377Z (default: ``False``) 2024-12-18T00:12:47.2788601Z **defaults: any trailing arguments, which are forwarded to the local 2024-12-18T00:12:47.2788694Z optimizer. 2024-12-18T00:12:47.2788715Z 2024-12-18T00:12:47.2788817Z Example:: 2024-12-18T00:12:47.2788822Z 2024-12-18T00:12:47.2788923Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.2789043Z >>> import torch.nn as nn 2024-12-18T00:12:47.2789251Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-12-18T00:12:47.2789468Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-12-18T00:12:47.2789698Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-12-18T00:12:47.2789816Z >>> ddp = DDP(model, device_ids=[rank]) 2024-12-18T00:12:47.2789951Z >>> opt = ZeroRedundancyOptimizer( 2024-12-18T00:12:47.2790057Z >>> ddp.parameters(), 2024-12-18T00:12:47.2790193Z >>> optimizer_class=torch.optim.Adam, 2024-12-18T00:12:47.2790282Z >>> lr=0.01 2024-12-18T00:12:47.2790384Z >>> ) 2024-12-18T00:12:47.2790498Z >>> ddp(inputs).sum().backward() 2024-12-18T00:12:47.2790589Z >>> opt.step() 2024-12-18T00:12:47.2790594Z 2024-12-18T00:12:47.2790700Z .. warning:: 2024-12-18T00:12:47.2790909Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-12-18T00:12:47.2791068Z passed-in parameters are the same dense type. 2024-12-18T00:12:47.2791073Z 2024-12-18T00:12:47.2791164Z .. warning:: 2024-12-18T00:12:47.2791391Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-12-18T00:12:47.2791596Z the way that overlapping :class:`DistributedDataParallel` with 2024-12-18T00:12:47.2791914Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-12-18T00:12:47.2792147Z two or three training iterations do not perform parameter updates in 2024-12-18T00:12:47.2792338Z the optimizer step, depending on if ``static_graph=False`` or 2024-12-18T00:12:47.2792537Z ``static_graph=True``, respectively. This is because it needs 2024-12-18T00:12:47.2792789Z information about the gradient bucketing strategy used by 2024-12-18T00:12:47.2793026Z :class:`DistributedDataParallel`, which is not finalized until the 2024-12-18T00:12:47.2793226Z second forward pass if ``static_graph=False`` or until the third 2024-12-18T00:12:47.2793432Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-12-18T00:12:47.2793556Z is to prepend dummy inputs. 2024-12-18T00:12:47.2793560Z 2024-12-18T00:12:47.2793812Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-12-18T00:12:47.2793819Z 2024-12-18T00:12:47.2793970Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-12-18T00:12:47.2793975Z 2024-12-18T00:12:47.2793979Z 2024-12-18T00:12:47.2794260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2794265Z 2024-12-18T00:12:47.2947621Z 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. 2024-12-18T00:12:47.2947906Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.2947912Z 2024-12-18T00:12:47.2948152Z Custom reducer class that can be used to specify a custom operation that 2024-12-18T00:12:47.2948326Z reduces losses of multiple microbatches into one value. 2024-12-18T00:12:47.2948330Z 2024-12-18T00:12:47.2948436Z Example: 2024-12-18T00:12:47.2948532Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.2948642Z >>> sum_reducer = _CustomReducer( 2024-12-18T00:12:47.2948761Z >>> torch.tensor(0.0), 2024-12-18T00:12:47.2948858Z >>> lambda a, b: a + b 2024-12-18T00:12:47.2948956Z >>> ) 2024-12-18T00:12:47.2948960Z 2024-12-18T00:12:47.2949210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.2949214Z 2024-12-18T00:12:47.3387158Z 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. 2024-12-18T00:12:47.3388386Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.3388765Z 2024-12-18T00:12:47.3389022Z A decorator for a function indicating that the return value of the function 2024-12-18T00:12:47.3389601Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-12-18T00:12:47.3390158Z function can run asynchronously on the RPC callee. More specifically, the 2024-12-18T00:12:47.3390758Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-12-18T00:12:47.3391357Z function and installs subsequent processing steps as a callback to that 2024-12-18T00:12:47.3391947Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-12-18T00:12:47.3392504Z from the :class:`~torch.futures.Future` when completed and send the 2024-12-18T00:12:47.3393008Z value back as the RPC response. That also means the returned 2024-12-18T00:12:47.3393523Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-12-18T00:12:47.3394105Z sent through RPC. This decorator is useful when the wrapped function's 2024-12-18T00:12:47.3394650Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-12-18T00:12:47.3395192Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-12-18T00:12:47.3395527Z 2024-12-18T00:12:47.3395776Z .. note:: To enable asynchronous execution, applications must pass the 2024-12-18T00:12:47.3396338Z function object returned by this decorator to RPC APIs. If RPC detected 2024-12-18T00:12:47.3397034Z attributes installed by this decorator, it knows that this function 2024-12-18T00:12:47.3397560Z returns a ``Future`` object and will handle that accordingly. 2024-12-18T00:12:47.3398081Z However, this does not mean this decorator has to be outmost one when 2024-12-18T00:12:47.3398639Z defining a function. For example, when combined with ``@staticmethod`` 2024-12-18T00:12:47.3399252Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-12-18T00:12:47.3399857Z inner decorator to allow the target function be recognized as a static 2024-12-18T00:12:47.3400417Z or class function. This target function can still execute asynchronously 2024-12-18T00:12:47.3401005Z because, when accessed, the static or class method preserves attributes 2024-12-18T00:12:47.3401596Z installed by ``@rpc.functions.async_execution``. 2024-12-18T00:12:47.3401859Z 2024-12-18T00:12:47.3401863Z 2024-12-18T00:12:47.3401976Z Example:: 2024-12-18T00:12:47.3402316Z The returned :class:`~torch.futures.Future` object can come from 2024-12-18T00:12:47.3402756Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-12-18T00:12:47.3403366Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-12-18T00:12:47.3403891Z constructor. The example below shows directly using the 2024-12-18T00:12:47.3404320Z :class:`~torch.futures.Future` returned by 2024-12-18T00:12:47.3404697Z :meth:`~torch.futures.Future.then`. 2024-12-18T00:12:47.3404920Z 2024-12-18T00:12:47.3405058Z >>> from torch.distributed import rpc 2024-12-18T00:12:47.3405364Z >>> 2024-12-18T00:12:47.3405607Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:47.3405920Z >>> 2024-12-18T00:12:47.3406139Z >>> # On all workers 2024-12-18T00:12:47.3406427Z >>> @rpc.functions.async_execution 2024-12-18T00:12:47.3406752Z >>> def async_add_chained(to, x, y, z): 2024-12-18T00:12:47.3407171Z >>> # This function runs on "worker1" and returns immediately when 2024-12-18T00:12:47.3407679Z >>> # the callback is installed through the `then(cb)` API. In the 2024-12-18T00:12:47.3408178Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-12-18T00:12:47.3408648Z >>> # When the return value of that `rpc_async` arrives at 2024-12-18T00:12:47.3409102Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-12-18T00:12:47.3409606Z >>> # and set the value for the previously returned `Future`, which 2024-12-18T00:12:47.3410103Z >>> # will then trigger RPC to send the result back to "worker0". 2024-12-18T00:12:47.3410581Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:47.3410986Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:47.3411299Z >>> ) 2024-12-18T00:12:47.3411508Z >>> 2024-12-18T00:12:47.3411722Z >>> # On worker0 2024-12-18T00:12:47.3411977Z >>> # xdoctest: +SKIP 2024-12-18T00:12:47.3412256Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:47.3412519Z >>> "worker1", 2024-12-18T00:12:47.3412781Z >>> async_add_chained, 2024-12-18T00:12:47.3413092Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-12-18T00:12:47.3413417Z >>> ) 2024-12-18T00:12:47.3413668Z >>> print(ret) # prints tensor([3., 3.]) 2024-12-18T00:12:47.3413894Z 2024-12-18T00:12:47.3414132Z When combined with TorchScript decorators, this decorator must be the 2024-12-18T00:12:47.3414564Z outmost one. 2024-12-18T00:12:47.3414722Z 2024-12-18T00:12:47.3414828Z >>> from torch import Tensor 2024-12-18T00:12:47.3415146Z >>> from torch.futures import Future 2024-12-18T00:12:47.3415496Z >>> from torch.distributed import rpc 2024-12-18T00:12:47.3415816Z >>> 2024-12-18T00:12:47.3416041Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:47.3416355Z >>> 2024-12-18T00:12:47.3416574Z >>> # On all workers 2024-12-18T00:12:47.3416846Z >>> @torch.jit.script 2024-12-18T00:12:47.3417160Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-12-18T00:12:47.3417556Z >>> return x + y 2024-12-18T00:12:47.3417820Z >>> 2024-12-18T00:12:47.3418061Z >>> @rpc.functions.async_execution 2024-12-18T00:12:47.3418390Z >>> @torch.jit.script 2024-12-18T00:12:47.3418742Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-12-18T00:12:47.3419196Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-12-18T00:12:47.3419597Z >>> 2024-12-18T00:12:47.3419813Z >>> # On worker0 2024-12-18T00:12:47.3420068Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:47.3420325Z >>> "worker1", 2024-12-18T00:12:47.3420573Z >>> async_add, 2024-12-18T00:12:47.3420849Z >>> args=("worker2", torch.ones(2), 1) 2024-12-18T00:12:47.3421171Z >>> ) 2024-12-18T00:12:47.3421418Z >>> print(ret) # prints tensor([2., 2.]) 2024-12-18T00:12:47.3421652Z 2024-12-18T00:12:47.3421869Z When combined with static or class method, this decorator must be the 2024-12-18T00:12:47.3422299Z inner one. 2024-12-18T00:12:47.3422433Z 2024-12-18T00:12:47.3422562Z >>> from torch.distributed import rpc 2024-12-18T00:12:47.3422879Z >>> 2024-12-18T00:12:47.3423133Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:47.3423444Z >>> 2024-12-18T00:12:47.3423656Z >>> # On all workers 2024-12-18T00:12:47.3423934Z >>> class AsyncExecutionClass: 2024-12-18T00:12:47.3424230Z >>> 2024-12-18T00:12:47.3424437Z >>> @staticmethod 2024-12-18T00:12:47.3424726Z >>> @rpc.functions.async_execution 2024-12-18T00:12:47.3425122Z >>> def static_async_add(to, x, y, z): 2024-12-18T00:12:47.3425733Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:47.3426476Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:47.3426790Z >>> ) 2024-12-18T00:12:47.3427033Z >>> 2024-12-18T00:12:47.3427252Z >>> @classmethod 2024-12-18T00:12:47.3427549Z >>> @rpc.functions.async_execution 2024-12-18T00:12:47.3427904Z >>> def class_async_add(cls, to, x, y, z): 2024-12-18T00:12:47.3428252Z >>> ret_fut = torch.futures.Future() 2024-12-18T00:12:47.3428641Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:47.3429060Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-12-18T00:12:47.3429416Z >>> ) 2024-12-18T00:12:47.3429657Z >>> return ret_fut 2024-12-18T00:12:47.3429922Z >>> 2024-12-18T00:12:47.3430162Z >>> @rpc.functions.async_execution 2024-12-18T00:12:47.3430514Z >>> def bound_async_add(self, to, x, y, z): 2024-12-18T00:12:47.3430921Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:47.3431325Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:47.3431633Z >>> ) 2024-12-18T00:12:47.3431862Z >>> 2024-12-18T00:12:47.3432076Z >>> # On worker0 2024-12-18T00:12:47.3432333Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:47.3432608Z >>> "worker1", 2024-12-18T00:12:47.3432889Z >>> AsyncExecutionClass.static_async_add, 2024-12-18T00:12:47.3433255Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:47.3433577Z >>> ) 2024-12-18T00:12:47.3433823Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:47.3434122Z >>> 2024-12-18T00:12:47.3434342Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:47.3434616Z >>> "worker1", 2024-12-18T00:12:47.3434904Z >>> AsyncExecutionClass.class_async_add, 2024-12-18T00:12:47.3435268Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:47.3435575Z >>> ) 2024-12-18T00:12:47.3435820Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:47.3436055Z 2024-12-18T00:12:47.3436217Z This decorator also works with RRef helpers, i.e., . 2024-12-18T00:12:47.3436634Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-12-18T00:12:47.3437046Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-12-18T00:12:47.3437521Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-12-18T00:12:47.3437766Z 2024-12-18T00:12:47.3437887Z >>> from torch.distributed import rpc 2024-12-18T00:12:47.3438209Z >>> 2024-12-18T00:12:47.3438470Z >>> # reuse the AsyncExecutionClass class above 2024-12-18T00:12:47.3438874Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:47.3439351Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:47.3439874Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:47.3440192Z >>> 2024-12-18T00:12:47.3440466Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:47.3440966Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-12-18T00:12:47.3441511Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:47.3441834Z >>> 2024-12-18T00:12:47.3442115Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:47.3442622Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-12-18T00:12:47.3443102Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:47.3443327Z 2024-12-18T00:12:47.3443623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.3443987Z 2024-12-18T00:12:47.3444726Z 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. 2024-12-18T00:12:47.3445792Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.3446164Z 2024-12-18T00:12:47.3446367Z Set device mapping between each RPC caller and callee pair. This 2024-12-18T00:12:47.3446872Z function can be called multiple times to incrementally add 2024-12-18T00:12:47.3447286Z device placement configurations. 2024-12-18T00:12:47.3447490Z 2024-12-18T00:12:47.3447591Z Args: 2024-12-18T00:12:47.3447818Z to (str): Callee name. 2024-12-18T00:12:47.3448187Z device_map (Dict of int, str, or torch.device): Device placement 2024-12-18T00:12:47.3448685Z mappings from this worker to the callee. This map must be 2024-12-18T00:12:47.3449075Z invertible. 2024-12-18T00:12:47.3449220Z 2024-12-18T00:12:47.3449321Z Example: 2024-12-18T00:12:47.3449563Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.3449869Z >>> # both workers 2024-12-18T00:12:47.3450128Z >>> def add(x, y): 2024-12-18T00:12:47.3450423Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-12-18T00:12:47.3450783Z >>> return x + y, (x + y).to(2) 2024-12-18T00:12:47.3451088Z >>> 2024-12-18T00:12:47.3451292Z >>> # on worker 0 2024-12-18T00:12:47.3451585Z >>> options = TensorPipeRpcBackendOptions( 2024-12-18T00:12:47.3451934Z >>> num_worker_threads=8, 2024-12-18T00:12:47.3452245Z >>> device_maps={"worker1": {0: 1}} 2024-12-18T00:12:47.3452596Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-12-18T00:12:47.3452918Z >>> ) 2024-12-18T00:12:47.3453175Z >>> options.set_device_map("worker1", {1: 2}) 2024-12-18T00:12:47.3453545Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-12-18T00:12:47.3453876Z >>> 2024-12-18T00:12:47.3454092Z >>> rpc.init_rpc( 2024-12-18T00:12:47.3454331Z >>> "worker0", 2024-12-18T00:12:47.3454580Z >>> rank=0, 2024-12-18T00:12:47.3454825Z >>> world_size=2, 2024-12-18T00:12:47.3455135Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-12-18T00:12:47.3455493Z >>> rpc_backend_options=options 2024-12-18T00:12:47.3455789Z >>> ) 2024-12-18T00:12:47.3456000Z >>> 2024-12-18T00:12:47.3456222Z >>> x = torch.ones(2) 2024-12-18T00:12:47.3456555Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-12-18T00:12:47.3457017Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-12-18T00:12:47.3457494Z >>> # sending the return value back, it will follow the invert of 2024-12-18T00:12:47.3458165Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-12-18T00:12:47.3458561Z >>> # cuda:1 on worker0 2024-12-18T00:12:47.3458896Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-12-18T00:12:47.3459311Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-12-18T00:12:47.3459568Z 2024-12-18T00:12:47.3459836Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.3460321Z 2024-12-18T00:12:47.5568787Z 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=32. 2024-12-18T00:12:47.5570040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.5570433Z 2024-12-18T00:12:47.5570698Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2024-12-18T00:12:47.5571363Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2024-12-18T00:12:47.5572039Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2024-12-18T00:12:47.5572706Z :class:`DTensor` according to the ``out_placements``. 2024-12-18T00:12:47.5572975Z 2024-12-18T00:12:47.5573077Z Args: 2024-12-18T00:12:47.5573419Z func (Callable): the function to be applied on each local shard of 2024-12-18T00:12:47.5573833Z :class:`DTensor` s. 2024-12-18T00:12:47.5574255Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2024-12-18T00:12:47.5574856Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2024-12-18T00:12:47.5575468Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2024-12-18T00:12:47.5576072Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2024-12-18T00:12:47.5576690Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2024-12-18T00:12:47.5577171Z mapping to the flattened ``output``. 2024-12-18T00:12:47.5577607Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2024-12-18T00:12:47.5578207Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2024-12-18T00:12:47.5578703Z should be `None`. 2024-12-18T00:12:47.5579112Z Note that the only exception is when no :class:`DTensor` argument is passed 2024-12-18T00:12:47.5579692Z in. In this case, even if `out_placements` is not `None`, the result function 2024-12-18T00:12:47.5580345Z should ignore the desired placements because the function is not running with 2024-12-18T00:12:47.5580823Z :class:`DTensor` s. 2024-12-18T00:12:47.5581306Z in_placements (Tuple[`PlacementType`, ...], optional): 2024-12-18T00:12:47.5582292Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2024-12-18T00:12:47.5582929Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2024-12-18T00:12:47.5583503Z placements of each :class:`DTensor` argument is the same as the required 2024-12-18T00:12:47.5584036Z placements or not. If the placements are not the same and 2024-12-18T00:12:47.5584577Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2024-12-18T00:12:47.5585189Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2024-12-18T00:12:47.5585816Z the required sharding placements before passing its local tensor to ``func``. 2024-12-18T00:12:47.5586419Z The only exception is when required placements are not ``None`` and the 2024-12-18T00:12:47.5586994Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2024-12-18T00:12:47.5587579Z will be skipped and the argument will be directly passed to ``func``. 2024-12-18T00:12:47.5588140Z If ``in_placements`` is ``None``, no placements examination will be performed. 2024-12-18T00:12:47.5588664Z Default: None 2024-12-18T00:12:47.5588963Z device_mesh (:class:`DeviceMesh`, optional): 2024-12-18T00:12:47.5589429Z the device mesh that all the :class:`DTensor` s are placed on. If not 2024-12-18T00:12:47.5589987Z specified, this will be inferred from the input :class:`DTensor` s' device 2024-12-18T00:12:47.5590619Z mesh. `local_map` requires every :class:`DTensor` s to be placed on the same 2024-12-18T00:12:47.5591142Z device mesh. Default: None. 2024-12-18T00:12:47.5591483Z redistribute_inputs (bool, optional): 2024-12-18T00:12:47.5591975Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2024-12-18T00:12:47.5592587Z their placements are different from the required input placements. If this 2024-12-18T00:12:47.5593189Z value is ``False`` and some :class:`DTensor` input has a different placement, 2024-12-18T00:12:47.5593684Z an exception will be raised. Default: False. 2024-12-18T00:12:47.5593946Z 2024-12-18T00:12:47.5594036Z Returns: 2024-12-18T00:12:47.5594456Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2024-12-18T00:12:47.5595075Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2024-12-18T00:12:47.5595429Z 2024-12-18T00:12:47.5595519Z Raises: 2024-12-18T00:12:47.5595903Z AssertionError: If the input :class:`DTensor` is not placed on the same device 2024-12-18T00:12:47.5596516Z mesh, or if they are placed on a different device mesh than the ``device_mesh`` 2024-12-18T00:12:47.5596979Z argument passed in. 2024-12-18T00:12:47.5597157Z 2024-12-18T00:12:47.5597409Z AssertionError: For any non-DTensor output, we require its corresponding 2024-12-18T00:12:47.5598029Z output placement in ``out_placements`` be None. An AssertionError will be raised 2024-12-18T00:12:47.5598494Z if this is not the case. 2024-12-18T00:12:47.5598704Z 2024-12-18T00:12:47.5598963Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2024-12-18T00:12:47.5599504Z a redistribution according to ``in_placements``. 2024-12-18T00:12:47.5599779Z 2024-12-18T00:12:47.5599867Z Example: 2024-12-18T00:12:47.5600112Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.5600479Z >>> def mm_allreduce_forward(device_mesh, W, X): 2024-12-18T00:12:47.5600845Z >>> partial_sum_tensor = torch.mm(W, X) 2024-12-18T00:12:47.5601325Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2024-12-18T00:12:47.5601864Z >>> return reduced_tensor 2024-12-18T00:12:47.5602157Z >>> 2024-12-18T00:12:47.5602410Z >>> W = torch.randn(12, 8, requires_grad=False) 2024-12-18T00:12:47.5602767Z >>> X = torch.randn(8, 16, requires_grad=False) 2024-12-18T00:12:47.5603106Z >>> Y = torch.mm(W, X) 2024-12-18T00:12:47.5603472Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2024-12-18T00:12:47.5603966Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2024-12-18T00:12:47.5604355Z >>> 2024-12-18T00:12:47.5604734Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2024-12-18T00:12:47.5605243Z >>> local_mm_allreduce_forward = local_map( 2024-12-18T00:12:47.5605583Z >>> mm_allreduce_forward, 2024-12-18T00:12:47.5605903Z >>> out_placements=[Replicate()], 2024-12-18T00:12:47.5606254Z >>> in_placements=[col_wise, row_wise], 2024-12-18T00:12:47.5606582Z >>> device_mesh=device_mesh, 2024-12-18T00:12:47.5606887Z >>> ) 2024-12-18T00:12:47.5607098Z >>> 2024-12-18T00:12:47.5607477Z >>> W_dt = distribute_tensor(W, device_mesh, (col_wise)) # col-wisely sharded W tensor 2024-12-18T00:12:47.5608103Z >>> X_dt = distribute_tensor(X, device_mesh, (row_wise)) # row-wisely sharded X tensor 2024-12-18T00:12:47.5608798Z >>> Y_dt = local_mm_allreduce_forward(device_mesh, W_dt, X_dt) # apply local_mm_allreduce_forward to DTensors 2024-12-18T00:12:47.5609273Z 2024-12-18T00:12:47.5609495Z .. note:: This API is currently experimental and subject to change 2024-12-18T00:12:47.5609811Z 2024-12-18T00:12:47.5610060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.5610438Z 2024-12-18T00:12:47.5611194Z 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. 2024-12-18T00:12:47.5612304Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.5612692Z 2024-12-18T00:12:47.5612968Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2024-12-18T00:12:47.5613608Z strategies for an operator when the tensor inputs and outputs are DTensor. 2024-12-18T00:12:47.5614217Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2024-12-18T00:12:47.5614839Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2024-12-18T00:12:47.5615496Z when users would like to overwrite default sharding strategies of existing operators. 2024-12-18T00:12:47.5615896Z 2024-12-18T00:12:47.5615983Z Args: 2024-12-18T00:12:47.5616238Z op (Union[OpOverload, List[OpOverload]]): 2024-12-18T00:12:47.5616679Z An op or a list of ops to register the customized sharding function. 2024-12-18T00:12:47.5616986Z 2024-12-18T00:12:47.5617086Z Returns: 2024-12-18T00:12:47.5617479Z A function decorator which can be used to wrap a function that defines the sharding 2024-12-18T00:12:47.5618122Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2024-12-18T00:12:47.5618782Z registered to DTensor and will override the default sharding strategy if DTensor has 2024-12-18T00:12:47.5619476Z already implemented the operator. The customized sharding function takes the same inputs 2024-12-18T00:12:47.5620139Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2024-12-18T00:12:47.5620767Z replaced by a tensor-like object that DTensor uses internally). The function should 2024-12-18T00:12:47.5621430Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2024-12-18T00:12:47.5621925Z corresponding intput placements. 2024-12-18T00:12:47.5622153Z 2024-12-18T00:12:47.5622242Z Example: 2024-12-18T00:12:47.5622485Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:47.5622849Z >>> @register_sharding(aten._softmax.default) 2024-12-18T00:12:47.5623253Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2024-12-18T00:12:47.5623657Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2024-12-18T00:12:47.5624030Z >>> acceptable_shardings = [] 2024-12-18T00:12:47.5624332Z >>> 2024-12-18T00:12:47.5624631Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2024-12-18T00:12:47.5625073Z >>> acceptable_shardings.append(all_replicate) 2024-12-18T00:12:47.5625404Z >>> 2024-12-18T00:12:47.5625647Z >>> for sharding_dim in range(x.ndim): 2024-12-18T00:12:47.5625997Z >>> if sharding_dim != softmax_dim: 2024-12-18T00:12:47.5626328Z >>> all_sharded = ( 2024-12-18T00:12:47.5626645Z >>> [Shard(sharding_dim)], 2024-12-18T00:12:47.5626986Z >>> [Shard(sharding_dim), None, None], 2024-12-18T00:12:47.5627313Z >>> ) 2024-12-18T00:12:47.5627610Z >>> acceptable_shardings.append(all_sharded) 2024-12-18T00:12:47.5627955Z >>> 2024-12-18T00:12:47.5628193Z >>> return acceptable_shardings 2024-12-18T00:12:47.5628410Z 2024-12-18T00:12:47.5628605Z .. note:: This API is currently experimental and subject to change 2024-12-18T00:12:47.5628920Z 2024-12-18T00:12:47.5629170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.5629590Z 2024-12-18T00:12:47.5788312Z 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. 2024-12-18T00:12:47.5789350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.5789732Z 2024-12-18T00:12:47.5790237Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-12-18T00:12:47.5791094Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-12-18T00:12:47.5791533Z 2024-12-18T00:12:47.5791626Z Keyword Args: 2024-12-18T00:12:47.5791974Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-12-18T00:12:47.5792718Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-12-18T00:12:47.5793945Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-12-18T00:12:47.5794622Z as a placeholder. default: None. 2024-12-18T00:12:47.5795137Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-12-18T00:12:47.5795867Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-12-18T00:12:47.5796756Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2024-12-18T00:12:47.5797402Z input_kwarg_layouts (Dict[str, Placement]): 2024-12-18T00:12:47.5798018Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2024-12-18T00:12:47.5798614Z default: None 2024-12-18T00:12:47.5798941Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2024-12-18T00:12:47.5799589Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-12-18T00:12:47.5800231Z have the desired DTensor layouts. default: None. 2024-12-18T00:12:47.5800613Z use_local_output (bool, optional): 2024-12-18T00:12:47.5801182Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-12-18T00:12:47.5801818Z Returns: 2024-12-18T00:12:47.5802267Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-12-18T00:12:47.5802691Z 2024-12-18T00:12:47.5802807Z Example:: 2024-12-18T00:12:47.5803043Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:47.5803549Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-12-18T00:12:47.5804178Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-12-18T00:12:47.5804571Z >>> ... 2024-12-18T00:12:47.5805007Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-12-18T00:12:47.5805562Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-12-18T00:12:47.5805888Z >>> 2024-12-18T00:12:47.5806332Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-12-18T00:12:47.5806928Z >>> # and then redistributed to Replicated DTensor. 2024-12-18T00:12:47.5807288Z >>> parallelize_module( 2024-12-18T00:12:47.5807608Z >>> block, # this can be a submodule or module 2024-12-18T00:12:47.5807950Z >>> tp_mesh, 2024-12-18T00:12:47.5808198Z >>> parallelize_plan={ 2024-12-18T00:12:47.5808513Z >>> "attn": PrepareModuleInput( 2024-12-18T00:12:47.5808879Z >>> input_layouts=(Shard(0), None, None, ...), 2024-12-18T00:12:47.5809305Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-12-18T00:12:47.5809682Z >>> ), 2024-12-18T00:12:47.5809901Z >>> } 2024-12-18T00:12:47.5810124Z >>> ) 2024-12-18T00:12:47.5810256Z 2024-12-18T00:12:47.5810576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.5810940Z 2024-12-18T00:12:47.5811626Z 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. 2024-12-18T00:12:47.5812643Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.5813046Z 2024-12-18T00:12:47.5813477Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-12-18T00:12:47.5814311Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-12-18T00:12:47.5814750Z 2024-12-18T00:12:47.5814856Z Keyword Args: 2024-12-18T00:12:47.5815151Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-12-18T00:12:47.5815767Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-12-18T00:12:47.5816596Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-12-18T00:12:47.5817264Z ``None`` need to be specified as a placeholder. 2024-12-18T00:12:47.5817719Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-12-18T00:12:47.5818403Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-12-18T00:12:47.5819026Z have the desired DTensor layouts. 2024-12-18T00:12:47.5819370Z use_local_output (bool, optional): 2024-12-18T00:12:47.5819952Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-12-18T00:12:47.5820519Z Returns: 2024-12-18T00:12:47.5820939Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-12-18T00:12:47.5821343Z 2024-12-18T00:12:47.5821437Z Example:: 2024-12-18T00:12:47.5821674Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:47.5822194Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-12-18T00:12:47.5822821Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-12-18T00:12:47.5823213Z >>> ... 2024-12-18T00:12:47.5823632Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-12-18T00:12:47.5824183Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-12-18T00:12:47.5824509Z >>> 2024-12-18T00:12:47.5825026Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-12-18T00:12:47.5825677Z >>> # and then redistributed to Sharded DTensor. 2024-12-18T00:12:47.5826029Z >>> parallelize_module( 2024-12-18T00:12:47.5826332Z >>> block, # this can be a submodule or module 2024-12-18T00:12:47.5826668Z >>> tp_mesh, 2024-12-18T00:12:47.5826963Z >>> parallelize_plan = PrepareModuleOutput( 2024-12-18T00:12:47.5827336Z >>> output_layouts=Replicate(), 2024-12-18T00:12:47.5827682Z >>> desired_output_layouts=Shard(0) 2024-12-18T00:12:47.5827992Z >>> ) 2024-12-18T00:12:47.5828214Z >>> ) 2024-12-18T00:12:47.5828345Z 2024-12-18T00:12:47.5828595Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.5828957Z 2024-12-18T00:12:47.6358772Z 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. 2024-12-18T00:12:47.6359786Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.6360183Z 2024-12-18T00:12:47.6360421Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-12-18T00:12:47.6361006Z distribution where all component are from different parameterizations of 2024-12-18T00:12:47.6361643Z the same distribution type. It is parameterized by a `Categorical` 2024-12-18T00:12:47.6362333Z "selecting distribution" (over `k` component) and a component 2024-12-18T00:12:47.6362857Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-12-18T00:12:47.6363342Z (equal to `[k]`) which indexes each (batch of) component. 2024-12-18T00:12:47.6363609Z 2024-12-18T00:12:47.6363732Z Examples:: 2024-12-18T00:12:47.6363859Z 2024-12-18T00:12:47.6364090Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:47.6364517Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-12-18T00:12:47.6364953Z >>> # weighted normal distributions 2024-12-18T00:12:47.6365295Z >>> mix = D.Categorical(torch.ones(5,)) 2024-12-18T00:12:47.6365674Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-12-18T00:12:47.6366055Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:47.6366279Z 2024-12-18T00:12:47.6366492Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-12-18T00:12:47.6366932Z >>> # weighted bivariate normal distributions 2024-12-18T00:12:47.6367298Z >>> mix = D.Categorical(torch.ones(5,)) 2024-12-18T00:12:47.6367695Z >>> comp = D.Independent(D.Normal( 2024-12-18T00:12:47.6368046Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-12-18T00:12:47.6368412Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:47.6368638Z 2024-12-18T00:12:47.6368825Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-12-18T00:12:47.6369335Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-12-18T00:12:47.6369785Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-12-18T00:12:47.6370128Z >>> comp = D.Independent(D.Normal( 2024-12-18T00:12:47.6370486Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-12-18T00:12:47.6370857Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:47.6371080Z 2024-12-18T00:12:47.6371167Z Args: 2024-12-18T00:12:47.6371500Z mixture_distribution: `torch.distributions.Categorical`-like 2024-12-18T00:12:47.6372017Z instance. Manages the probability of selecting component. 2024-12-18T00:12:47.6372501Z The number of categories must match the rightmost batch 2024-12-18T00:12:47.6372981Z dimension of the `component_distribution`. Must have either 2024-12-18T00:12:47.6373419Z scalar `batch_shape` or `batch_shape` matching 2024-12-18T00:12:47.6373817Z `component_distribution.batch_shape[:-1]` 2024-12-18T00:12:47.6374288Z component_distribution: `torch.distributions.Distribution`-like 2024-12-18T00:12:47.6374800Z instance. Right-most batch dimension indexes component. 2024-12-18T00:12:47.6375088Z 2024-12-18T00:12:47.6375349Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.6375708Z 2024-12-18T00:12:47.6470152Z 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. 2024-12-18T00:12:47.6471158Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.6471533Z 2024-12-18T00:12:47.6471720Z Creates a RelaxedBernoulli distribution, parametrized by 2024-12-18T00:12:47.6472211Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-12-18T00:12:47.6472735Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-12-18T00:12:47.6473261Z so the values are in (0, 1), and has reparametrizable samples. 2024-12-18T00:12:47.6473551Z 2024-12-18T00:12:47.6473660Z Example:: 2024-12-18T00:12:47.6473784Z 2024-12-18T00:12:47.6473935Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:47.6474309Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-12-18T00:12:47.6474680Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-12-18T00:12:47.6475015Z >>> m.sample() 2024-12-18T00:12:47.6475283Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-12-18T00:12:47.6475611Z 2024-12-18T00:12:47.6475710Z Args: 2024-12-18T00:12:47.6475961Z temperature (Tensor): relaxation temperature 2024-12-18T00:12:47.6476389Z probs (Number, Tensor): the probability of sampling `1` 2024-12-18T00:12:47.6476840Z logits (Number, Tensor): the log-odds of sampling `1` 2024-12-18T00:12:47.6477126Z 2024-12-18T00:12:47.6477379Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.6477790Z 2024-12-18T00:12:47.6484970Z 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. 2024-12-18T00:12:47.6486024Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.6486397Z 2024-12-18T00:12:47.6486627Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-12-18T00:12:47.6487140Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-12-18T00:12:47.6487688Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-12-18T00:12:47.6488209Z its samples are on simplex, and are reparametrizable. 2024-12-18T00:12:47.6488494Z 2024-12-18T00:12:47.6488636Z Example:: 2024-12-18T00:12:47.6488759Z 2024-12-18T00:12:47.6488911Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:47.6489322Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-12-18T00:12:47.6489717Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-12-18T00:12:47.6490063Z >>> m.sample() 2024-12-18T00:12:47.6490334Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-12-18T00:12:47.6490559Z 2024-12-18T00:12:47.6490661Z Args: 2024-12-18T00:12:47.6490931Z temperature (Tensor): relaxation temperature 2024-12-18T00:12:47.6491289Z probs (Tensor): event probabilities 2024-12-18T00:12:47.6491702Z logits (Tensor): unnormalized log probability for each event 2024-12-18T00:12:47.6492012Z 2024-12-18T00:12:47.6492265Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.6492642Z 2024-12-18T00:12:47.9539804Z 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=245. 2024-12-18T00:12:47.9541050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.9542052Z Return a new dict with new, potentially nested, key value pair 2024-12-18T00:12:47.9542378Z 2024-12-18T00:12:47.9542475Z >>> purchase = { 2024-12-18T00:12:47.9542739Z ... "name": "Alice", 2024-12-18T00:12:47.9543161Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:47.9543736Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:47.9544325Z ... } 2024-12-18T00:12:47.9544666Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2024-12-18T00:12:47.9545101Z {'credit card': '5555-1234-1234-1234', 2024-12-18T00:12:47.9545424Z 'name': 'Alice', 2024-12-18T00:12:47.9545753Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-12-18T00:12:47.9546177Z 2024-12-18T00:12:47.9546664Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.9547353Z 2024-12-18T00:12:47.9548033Z 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=261. 2024-12-18T00:12:47.9549049Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.9549577Z Update value in a (potentially) nested dictionary 2024-12-18T00:12:47.9549848Z 2024-12-18T00:12:47.9549936Z inputs: 2024-12-18T00:12:47.9550188Z d - dictionary on which to operate 2024-12-18T00:12:47.9550627Z keys - list or tuple giving the location of the value to be changed in d 2024-12-18T00:12:47.9551083Z func - function to operate on that value 2024-12-18T00:12:47.9551521Z 2024-12-18T00:12:47.9551713Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-12-18T00:12:47.9552260Z original dictionary with v replaced by func(v), but does not mutate the 2024-12-18T00:12:47.9552715Z original dictionary. 2024-12-18T00:12:47.9552885Z 2024-12-18T00:12:47.9553106Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-12-18T00:12:47.9553754Z specified by the keys, with the innermost value set to func(default). 2024-12-18T00:12:47.9554080Z 2024-12-18T00:12:47.9554213Z >>> inc = lambda x: x + 1 2024-12-18T00:12:47.9554498Z >>> update_in({"a": 0}, ["a"], inc) 2024-12-18T00:12:47.9554808Z {'a': 1} 2024-12-18T00:12:47.9554950Z 2024-12-18T00:12:47.9555048Z >>> transaction = { 2024-12-18T00:12:47.9555315Z ... "name": "Alice", 2024-12-18T00:12:47.9555691Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:47.9556120Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:47.9556424Z ... } 2024-12-18T00:12:47.9556767Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2024-12-18T00:12:47.9557255Z {'credit card': '5555-1234-1234-1234', 2024-12-18T00:12:47.9557572Z 'name': 'Alice', 2024-12-18T00:12:47.9557906Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-12-18T00:12:47.9558393Z 2024-12-18T00:12:47.9558523Z >>> # updating a value when k0 is not in d 2024-12-18T00:12:47.9558894Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-12-18T00:12:47.9559235Z {1: {2: {3: 'bar'}}} 2024-12-18T00:12:47.9559522Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2024-12-18T00:12:47.9559848Z {1: 'foo', 2: {3: {4: 1}}} 2024-12-18T00:12:47.9560103Z 2024-12-18T00:12:47.9560474Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.9560850Z 2024-12-18T00:12:47.9561531Z 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=320. 2024-12-18T00:12:47.9562535Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.9563079Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-12-18T00:12:47.9563356Z 2024-12-18T00:12:47.9563549Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-12-18T00:12:47.9564041Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-12-18T00:12:47.9564363Z 2024-12-18T00:12:47.9564577Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-12-18T00:12:47.9565030Z structures such as dictionaries and lists. 2024-12-18T00:12:47.9565281Z 2024-12-18T00:12:47.9565377Z >>> transaction = { 2024-12-18T00:12:47.9565640Z ... "name": "Alice", 2024-12-18T00:12:47.9566007Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:47.9566421Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:47.9566734Z ... } 2024-12-18T00:12:47.9567002Z >>> get_in(["purchase", "items", 0], transaction) 2024-12-18T00:12:47.9567344Z 'Apple' 2024-12-18T00:12:47.9567585Z >>> get_in(["name"], transaction) 2024-12-18T00:12:47.9567873Z 'Alice' 2024-12-18T00:12:47.9568131Z >>> get_in(["purchase", "total"], transaction) 2024-12-18T00:12:47.9568530Z >>> get_in(["purchase", "items", "apple"], transaction) 2024-12-18T00:12:47.9568934Z >>> get_in(["purchase", "items", 10], transaction) 2024-12-18T00:12:47.9569321Z >>> get_in(["purchase", "total"], transaction, 0) 2024-12-18T00:12:47.9569647Z 0 2024-12-18T00:12:47.9569877Z >>> get_in(["y"], {}, no_default=True) 2024-12-18T00:12:47.9570214Z Traceback (most recent call last): 2024-12-18T00:12:47.9570522Z ... 2024-12-18T00:12:47.9570742Z KeyError: 'y' 2024-12-18T00:12:47.9570884Z 2024-12-18T00:12:47.9570973Z See Also: 2024-12-18T00:12:47.9571294Z itertoolz.get 2024-12-18T00:12:47.9571561Z operator.getitem 2024-12-18T00:12:47.9571826Z 2024-12-18T00:12:47.9572201Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.9572565Z 2024-12-18T00:12:47.9573205Z 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=373. 2024-12-18T00:12:47.9574310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:47.9574809Z Group a collection by a key function 2024-12-18T00:12:47.9575038Z 2024-12-18T00:12:47.9575206Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2024-12-18T00:12:47.9575616Z >>> groupby(len, names) # doctest: +SKIP 2024-12-18T00:12:47.9576019Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-12-18T00:12:47.9576289Z 2024-12-18T00:12:47.9576397Z >>> iseven = lambda x: x % 2 == 0 2024-12-18T00:12:47.9576786Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-12-18T00:12:47.9577183Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-12-18T00:12:47.9577452Z 2024-12-18T00:12:47.9577595Z Non-callable keys imply grouping on a member. 2024-12-18T00:12:47.9577847Z 2024-12-18T00:12:47.9577948Z >>> groupby( 2024-12-18T00:12:47.9578185Z ... "gender", 2024-12-18T00:12:47.9578417Z ... [ 2024-12-18T00:12:47.9578670Z ... {"name": "Alice", "gender": "F"}, 2024-12-18T00:12:47.9579024Z ... {"name": "Bob", "gender": "M"}, 2024-12-18T00:12:47.9579375Z ... {"name": "Charlie", "gender": "M"}, 2024-12-18T00:12:47.9579697Z ... ], 2024-12-18T00:12:47.9579921Z ... ) # doctest:+SKIP 2024-12-18T00:12:47.9580209Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-12-18T00:12:47.9580542Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-12-18T00:12:47.9580874Z {'gender': 'M', 'name': 'Charlie'}]} 2024-12-18T00:12:47.9581096Z 2024-12-18T00:12:47.9581246Z Not to be confused with ``itertools.groupby`` 2024-12-18T00:12:47.9581490Z 2024-12-18T00:12:47.9581578Z See Also: 2024-12-18T00:12:47.9581801Z countby 2024-12-18T00:12:47.9582023Z 2024-12-18T00:12:47.9582394Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:47.9582757Z 2024-12-18T00:12:48.2774777Z 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. 2024-12-18T00:12:48.2775772Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.2776333Z Applies Batch Normalization over a N-Dimensional input. 2024-12-18T00:12:48.2776617Z 2024-12-18T00:12:48.2776971Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-12-18T00:12:48.2777724Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-12-18T00:12:48.2778333Z Internal Covariate Shift `__ . 2024-12-18T00:12:48.2778690Z 2024-12-18T00:12:48.2778803Z .. math:: 2024-12-18T00:12:48.2778955Z 2024-12-18T00:12:48.2779176Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-12-18T00:12:48.2779509Z 2024-12-18T00:12:48.2779746Z The mean and standard-deviation are calculated per-dimension over all 2024-12-18T00:12:48.2780328Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-12-18T00:12:48.2780920Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-12-18T00:12:48.2781449Z By default, the elements of :math:`\gamma` are sampled from 2024-12-18T00:12:48.2781944Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-12-18T00:12:48.2782522Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-12-18T00:12:48.2783210Z `torch.var(input, unbiased=False)`. 2024-12-18T00:12:48.2783430Z 2024-12-18T00:12:48.2783682Z Also by default, during training this layer keeps running estimates of its 2024-12-18T00:12:48.2784282Z computed mean and variance, which are then used for normalization during 2024-12-18T00:12:48.2784867Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-12-18T00:12:48.2785323Z of 0.1. 2024-12-18T00:12:48.2785515Z 2024-12-18T00:12:48.2785789Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-12-18T00:12:48.2786359Z keep running estimates, and batch statistics are instead used during 2024-12-18T00:12:48.2786810Z evaluation time as well. 2024-12-18T00:12:48.2786996Z 2024-12-18T00:12:48.2787103Z .. note:: 2024-12-18T00:12:48.2787454Z This :attr:`momentum` argument is different from one used in optimizer 2024-12-18T00:12:48.2788029Z classes and the conventional notion of momentum. Mathematically, the 2024-12-18T00:12:48.2788514Z update rule for running statistics here is 2024-12-18T00:12:48.2789080Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-12-18T00:12:48.2789678Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-12-18T00:12:48.2790098Z new observed value. 2024-12-18T00:12:48.2790290Z 2024-12-18T00:12:48.2790590Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-12-18T00:12:48.2791259Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-12-18T00:12:48.2791808Z Normalization or Spatio-temporal Batch Normalization. 2024-12-18T00:12:48.2792092Z 2024-12-18T00:12:48.2792251Z Currently :class:`SyncBatchNorm` only supports 2024-12-18T00:12:48.2792794Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-12-18T00:12:48.2793400Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-12-18T00:12:48.2793942Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-12-18T00:12:48.2794360Z Network with DDP. 2024-12-18T00:12:48.2794533Z 2024-12-18T00:12:48.2794621Z Args: 2024-12-18T00:12:48.2794914Z num_features: :math:`C` from an expected input of size 2024-12-18T00:12:48.2795291Z :math:`(N, C, +)` 2024-12-18T00:12:48.2795655Z eps: a value added to the denominator for numerical stability. 2024-12-18T00:12:48.2796058Z Default: ``1e-5`` 2024-12-18T00:12:48.2796436Z momentum: the value used for the running_mean and running_var 2024-12-18T00:12:48.2796958Z computation. Can be set to ``None`` for cumulative moving average 2024-12-18T00:12:48.2797408Z (i.e. simple average). Default: 0.1 2024-12-18T00:12:48.2797838Z affine: a boolean value that when set to ``True``, this module has 2024-12-18T00:12:48.2798311Z learnable affine parameters. Default: ``True`` 2024-12-18T00:12:48.2798795Z track_running_stats: a boolean value that when set to ``True``, this 2024-12-18T00:12:48.2799358Z module tracks the running mean and variance, and when set to ``False``, 2024-12-18T00:12:48.2799929Z this module does not track such statistics, and initializes statistics 2024-12-18T00:12:48.2800473Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-12-18T00:12:48.2801016Z When these buffers are ``None``, this module always uses batch statistics. 2024-12-18T00:12:48.2801609Z in both training and eval modes. Default: ``True`` 2024-12-18T00:12:48.2802125Z process_group: synchronization of stats happen within each process group 2024-12-18T00:12:48.2802719Z individually. Default behavior is synchronization across the whole 2024-12-18T00:12:48.2803152Z world 2024-12-18T00:12:48.2803291Z 2024-12-18T00:12:48.2803393Z Shape: 2024-12-18T00:12:48.2803665Z - Input: :math:`(N, C, +)` 2024-12-18T00:12:48.2804021Z - Output: :math:`(N, C, +)` (same shape as input) 2024-12-18T00:12:48.2804288Z 2024-12-18T00:12:48.2804384Z .. note:: 2024-12-18T00:12:48.2804771Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-12-18T00:12:48.2805335Z synchronization is disabled when ``model.eval()`` is set or if 2024-12-18T00:12:48.2805838Z ``self.training`` is otherwise ``False``. 2024-12-18T00:12:48.2806086Z 2024-12-18T00:12:48.2806181Z Examples:: 2024-12-18T00:12:48.2806332Z 2024-12-18T00:12:48.2806435Z >>> # xdoctest: +SKIP 2024-12-18T00:12:48.2806743Z >>> # With Learnable Parameters 2024-12-18T00:12:48.2807077Z >>> m = nn.SyncBatchNorm(100) 2024-12-18T00:12:48.2807403Z >>> # creating process group (optional) 2024-12-18T00:12:48.2807781Z >>> # ranks is a list of int identifying rank ids. 2024-12-18T00:12:48.2808139Z >>> ranks = list(range(8)) 2024-12-18T00:12:48.2808451Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-12-18T00:12:48.2808814Z >>> # Note: every rank calls into new_group for every 2024-12-18T00:12:48.2809294Z >>> # process group created, even if that rank is not 2024-12-18T00:12:48.2809652Z >>> # part of the group. 2024-12-18T00:12:48.2810098Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-12-18T00:12:48.2810676Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-12-18T00:12:48.2811119Z >>> # Without Learnable Parameters 2024-12-18T00:12:48.2811550Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-12-18T00:12:48.2811985Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-12-18T00:12:48.2812321Z >>> output = m(input) 2024-12-18T00:12:48.2812514Z 2024-12-18T00:12:48.2812628Z >>> # network is nn.BatchNorm layer 2024-12-18T00:12:48.2813131Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-12-18T00:12:48.2813694Z >>> # only single gpu per process is currently supported 2024-12-18T00:12:48.2814198Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-12-18T00:12:48.2814636Z >>> sync_bn_network, 2024-12-18T00:12:48.2814993Z >>> device_ids=[args.local_rank], 2024-12-18T00:12:48.2815380Z >>> output_device=args.local_rank) 2024-12-18T00:12:48.2815716Z 2024-12-18T00:12:48.2816085Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.2816443Z 2024-12-18T00:12:48.2817120Z 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. 2024-12-18T00:12:48.2818125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.2818796Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-12-18T00:12:48.2819228Z 2024-12-18T00:12:48.2819328Z Args: 2024-12-18T00:12:48.2819713Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-12-18T00:12:48.2820303Z process_group (optional): process group to scope synchronization, 2024-12-18T00:12:48.2820756Z default is the whole world 2024-12-18T00:12:48.2820978Z 2024-12-18T00:12:48.2821080Z Returns: 2024-12-18T00:12:48.2821464Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-12-18T00:12:48.2822052Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-12-18T00:12:48.2822596Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-12-18T00:12:48.2823012Z instead. 2024-12-18T00:12:48.2823160Z 2024-12-18T00:12:48.2823265Z Example:: 2024-12-18T00:12:48.2823449Z 2024-12-18T00:12:48.2823571Z >>> # Network with nn.BatchNorm layer 2024-12-18T00:12:48.2823952Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:48.2824336Z >>> module = torch.nn.Sequential( 2024-12-18T00:12:48.2824710Z >>> torch.nn.Linear(20, 100), 2024-12-18T00:12:48.2825073Z >>> torch.nn.BatchNorm1d(100), 2024-12-18T00:12:48.2825477Z >>> ).cuda() 2024-12-18T00:12:48.2825787Z >>> # creating process group (optional) 2024-12-18T00:12:48.2826180Z >>> # ranks is a list of int identifying rank ids. 2024-12-18T00:12:48.2826553Z >>> ranks = list(range(8)) 2024-12-18T00:12:48.2826880Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-12-18T00:12:48.2827257Z >>> # Note: every rank calls into new_group for every 2024-12-18T00:12:48.2827667Z >>> # process group created, even if that rank is not 2024-12-18T00:12:48.2828054Z >>> # part of the group. 2024-12-18T00:12:48.2828390Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:48.2828907Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-12-18T00:12:48.2829485Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-12-18T00:12:48.2830093Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-12-18T00:12:48.2830523Z 2024-12-18T00:12:48.2830612Z 2024-12-18T00:12:48.2830994Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.2831367Z 2024-12-18T00:12:48.3016967Z 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. 2024-12-18T00:12:48.3017872Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.3018265Z 2024-12-18T00:12:48.3018579Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-12-18T00:12:48.3018996Z 2024-12-18T00:12:48.3019277Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-12-18T00:12:48.3019897Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-12-18T00:12:48.3020233Z 2024-12-18T00:12:48.3020554Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-12-18T00:12:48.3021232Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-12-18T00:12:48.3021775Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-12-18T00:12:48.3022062Z 2024-12-18T00:12:48.3022148Z Shape: 2024-12-18T00:12:48.3022489Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-12-18T00:12:48.3023072Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-12-18T00:12:48.3023662Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-12-18T00:12:48.3024115Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-12-18T00:12:48.3024363Z 2024-12-18T00:12:48.3024450Z Args: 2024-12-18T00:12:48.3024726Z dim (Union[int, str]): Dimension to be unflattened 2024-12-18T00:12:48.3025333Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-12-18T00:12:48.3025787Z 2024-12-18T00:12:48.3025893Z Examples: 2024-12-18T00:12:48.3026119Z >>> input = torch.randn(2, 50) 2024-12-18T00:12:48.3026436Z >>> # With tuple of ints 2024-12-18T00:12:48.3026723Z >>> m = nn.Sequential( 2024-12-18T00:12:48.3027003Z >>> nn.Linear(50, 50), 2024-12-18T00:12:48.3027294Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-12-18T00:12:48.3027582Z >>> ) 2024-12-18T00:12:48.3027806Z >>> output = m(input) 2024-12-18T00:12:48.3028075Z >>> output.size() 2024-12-18T00:12:48.3028469Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:48.3028750Z >>> # With torch.Size 2024-12-18T00:12:48.3029010Z >>> m = nn.Sequential( 2024-12-18T00:12:48.3029290Z >>> nn.Linear(50, 50), 2024-12-18T00:12:48.3029605Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-12-18T00:12:48.3029939Z >>> ) 2024-12-18T00:12:48.3030167Z >>> output = m(input) 2024-12-18T00:12:48.3030425Z >>> output.size() 2024-12-18T00:12:48.3030769Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:48.3031075Z >>> # With namedshape (tuple of tuples) 2024-12-18T00:12:48.3031460Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-12-18T00:12:48.3031935Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-12-18T00:12:48.3032353Z >>> output = unflatten(input) 2024-12-18T00:12:48.3032654Z >>> output.size() 2024-12-18T00:12:48.3032912Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:48.3033088Z 2024-12-18T00:12:48.3033348Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.3033714Z 2024-12-18T00:12:48.3361899Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1698. 2024-12-18T00:12:48.3362933Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.3363511Z Creates a criterion that measures the triplet loss given input 2024-12-18T00:12:48.3364035Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-12-18T00:12:48.3364564Z positive, and negative examples, respectively), and a nonnegative, 2024-12-18T00:12:48.3365143Z real-valued function ("distance function") used to compute the relationship 2024-12-18T00:12:48.3365731Z between the anchor and positive example ("positive distance") and the 2024-12-18T00:12:48.3366223Z anchor and negative example ("negative distance"). 2024-12-18T00:12:48.3366488Z 2024-12-18T00:12:48.3366712Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-12-18T00:12:48.3367126Z can be described as: 2024-12-18T00:12:48.3367308Z 2024-12-18T00:12:48.3367415Z .. math:: 2024-12-18T00:12:48.3367694Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-12-18T00:12:48.3368106Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-12-18T00:12:48.3368366Z 2024-12-18T00:12:48.3368625Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-12-18T00:12:48.3369281Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-12-18T00:12:48.3378982Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-12-18T00:12:48.3379729Z between the positive and negative distances that is required for the loss to 2024-12-18T00:12:48.3380342Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-12-18T00:12:48.3380820Z that the distance function can handle. 2024-12-18T00:12:48.3381061Z 2024-12-18T00:12:48.3381195Z If :attr:`reduction` is not ``'none'`` 2024-12-18T00:12:48.3381512Z (default ``'mean'``), then: 2024-12-18T00:12:48.3381714Z 2024-12-18T00:12:48.3381816Z .. math:: 2024-12-18T00:12:48.3382044Z \ell(x, y) = 2024-12-18T00:12:48.3382295Z \begin{cases} 2024-12-18T00:12:48.3382659Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-12-18T00:12:48.3383182Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-12-18T00:12:48.3383572Z \end{cases} 2024-12-18T00:12:48.3383727Z 2024-12-18T00:12:48.3383961Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-12-18T00:12:48.3384567Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-12-18T00:12:48.3384928Z 2024-12-18T00:12:48.3385032Z Args: 2024-12-18T00:12:48.3385436Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-12-18T00:12:48.3386152Z quantifies the closeness of two tensors. If not specified, 2024-12-18T00:12:48.3386626Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-12-18T00:12:48.3387187Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-12-18T00:12:48.3387856Z between the positive and negative distances required for the loss to be 0. Larger 2024-12-18T00:12:48.3388691Z margins penalize cases where the negative examples are not distant enough from the 2024-12-18T00:12:48.3389267Z anchors, relative to the positives. Default: :math:`1`. 2024-12-18T00:12:48.3389814Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-12-18T00:12:48.3390432Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-12-18T00:12:48.3391046Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-12-18T00:12:48.3391671Z negative example than the anchor is, swaps the positive example and the anchor in 2024-12-18T00:12:48.3392231Z the loss computation. Default: ``False``. 2024-12-18T00:12:48.3392758Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-12-18T00:12:48.3393343Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-12-18T00:12:48.3393826Z ``'mean'``: the sum of the output will be divided by the number of 2024-12-18T00:12:48.3394369Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-12-18T00:12:48.3394734Z 2024-12-18T00:12:48.3394739Z 2024-12-18T00:12:48.3394828Z Shape: 2024-12-18T00:12:48.3395209Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-12-18T00:12:48.3395702Z as supported by the distance function. 2024-12-18T00:12:48.3396200Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-12-18T00:12:48.3396658Z otherwise. 2024-12-18T00:12:48.3396823Z 2024-12-18T00:12:48.3396925Z Examples:: 2024-12-18T00:12:48.3397075Z 2024-12-18T00:12:48.3397178Z >>> # Initialize embeddings 2024-12-18T00:12:48.3397477Z >>> embedding = nn.Embedding(1000, 128) 2024-12-18T00:12:48.3397837Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:48.3398200Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:48.3398575Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:48.3398932Z >>> anchor = embedding(anchor_ids) 2024-12-18T00:12:48.3399274Z >>> positive = embedding(positive_ids) 2024-12-18T00:12:48.3399622Z >>> negative = embedding(negative_ids) 2024-12-18T00:12:48.3399924Z >>> 2024-12-18T00:12:48.3400153Z >>> # Built-in Distance Function 2024-12-18T00:12:48.3400465Z >>> triplet_loss = \ 2024-12-18T00:12:48.3400922Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-12-18T00:12:48.3401569Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:48.3401941Z >>> output.backward() 2024-12-18T00:12:48.3402209Z >>> 2024-12-18T00:12:48.3402447Z >>> # Custom Distance Function 2024-12-18T00:12:48.3402759Z >>> def l_infinity(x1, x2): 2024-12-18T00:12:48.3403114Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-12-18T00:12:48.3403463Z >>> 2024-12-18T00:12:48.3403775Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-12-18T00:12:48.3404179Z >>> triplet_loss = ( 2024-12-18T00:12:48.3404634Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-12-18T00:12:48.3405190Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:48.3405550Z >>> output.backward() 2024-12-18T00:12:48.3405815Z >>> 2024-12-18T00:12:48.3406060Z >>> # Custom Distance Function (Lambda) 2024-12-18T00:12:48.3406439Z >>> triplet_loss = ( 2024-12-18T00:12:48.3406746Z >>> nn.TripletMarginWithDistanceLoss( 2024-12-18T00:12:48.3407201Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-12-18T00:12:48.3407693Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:48.3408067Z >>> output.backward() 2024-12-18T00:12:48.3408286Z 2024-12-18T00:12:48.3408404Z Reference: 2024-12-18T00:12:48.3408851Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-12-18T00:12:48.3409503Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2024-12-18T00:12:48.3409909Z 2024-12-18T00:12:48.3410284Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-12-18T00:12:48.3410664Z 2024-12-18T00:12:48.3940776Z 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. 2024-12-18T00:12:48.3941692Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.3942381Z Computes a partial inverse of :class:`MaxPool2d`. 2024-12-18T00:12:48.3942647Z 2024-12-18T00:12:48.3942920Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-12-18T00:12:48.3943296Z 2024-12-18T00:12:48.3943540Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-12-18T00:12:48.3944127Z including the indices of the maximal values and computes a partial inverse 2024-12-18T00:12:48.3944639Z in which all non-maximal values are set to zero. 2024-12-18T00:12:48.3944907Z 2024-12-18T00:12:48.3944995Z Note: 2024-12-18T00:12:48.3945443Z This operation may behave nondeterministically when the input indices has repeat values. 2024-12-18T00:12:48.3946257Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-12-18T00:12:48.3946746Z 2024-12-18T00:12:48.3947001Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-12-18T00:12:48.3947530Z sizes. Hence, the inversion process can get ambiguous. 2024-12-18T00:12:48.3948005Z To accommodate this, you can provide the needed output size 2024-12-18T00:12:48.3948523Z as an additional argument :attr:`output_size` in the forward call. 2024-12-18T00:12:48.3948987Z See the Inputs and Example below. 2024-12-18T00:12:48.3949218Z 2024-12-18T00:12:48.3949318Z Args: 2024-12-18T00:12:48.3949633Z kernel_size (int or tuple): Size of the max pooling window. 2024-12-18T00:12:48.3950098Z stride (int or tuple): Stride of the max pooling window. 2024-12-18T00:12:48.3950525Z It is set to :attr:`kernel_size` by default. 2024-12-18T00:12:48.3950962Z padding (int or tuple): Padding that was added to the input 2024-12-18T00:12:48.3951270Z 2024-12-18T00:12:48.3951362Z Inputs: 2024-12-18T00:12:48.3951624Z - `input`: the input Tensor to invert 2024-12-18T00:12:48.3952068Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-12-18T00:12:48.3952540Z - `output_size` (optional): the targeted output size 2024-12-18T00:12:48.3952824Z 2024-12-18T00:12:48.3952911Z Shape: 2024-12-18T00:12:48.3953231Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-12-18T00:12:48.3953758Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-12-18T00:12:48.3954087Z 2024-12-18T00:12:48.3954191Z .. math:: 2024-12-18T00:12:48.3954608Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-12-18T00:12:48.3954983Z 2024-12-18T00:12:48.3955073Z .. math:: 2024-12-18T00:12:48.3955477Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-12-18T00:12:48.3955923Z 2024-12-18T00:12:48.3956087Z or as given by :attr:`output_size` in the call operator 2024-12-18T00:12:48.3956376Z 2024-12-18T00:12:48.3956473Z Example:: 2024-12-18T00:12:48.3956609Z 2024-12-18T00:12:48.3956805Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-12-18T00:12:48.3957210Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-12-18T00:12:48.3957674Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-12-18T00:12:48.3958193Z [ 5., 6., 7., 8.], 2024-12-18T00:12:48.3958538Z [ 9., 10., 11., 12.], 2024-12-18T00:12:48.3958876Z [13., 14., 15., 16.]]]]) 2024-12-18T00:12:48.3959225Z >>> output, indices = pool(input) 2024-12-18T00:12:48.3959559Z >>> unpool(output, indices) 2024-12-18T00:12:48.3959861Z tensor([[[[ 0., 0., 0., 0.], 2024-12-18T00:12:48.3960175Z [ 0., 6., 0., 8.], 2024-12-18T00:12:48.3960484Z [ 0., 0., 0., 0.], 2024-12-18T00:12:48.3960795Z [ 0., 14., 0., 16.]]]]) 2024-12-18T00:12:48.3961258Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-12-18T00:12:48.3961799Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-12-18T00:12:48.3962166Z [ 6., 7., 8., 9., 10.], 2024-12-18T00:12:48.3962512Z [11., 12., 13., 14., 15.], 2024-12-18T00:12:48.3962855Z [16., 17., 18., 19., 20.]]]]) 2024-12-18T00:12:48.3963197Z >>> output, indices = pool(input) 2024-12-18T00:12:48.3963588Z >>> # This call will not work without specifying output_size 2024-12-18T00:12:48.3964017Z >>> unpool(output, indices, output_size=input.size()) 2024-12-18T00:12:48.3964390Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-12-18T00:12:48.3964703Z [ 0., 7., 0., 9., 0.], 2024-12-18T00:12:48.3965010Z [ 0., 0., 0., 0., 0.], 2024-12-18T00:12:48.3965321Z [ 0., 17., 0., 19., 0.]]]]) 2024-12-18T00:12:48.3965531Z 2024-12-18T00:12:48.3965535Z 2024-12-18T00:12:48.3965633Z 2024-12-18T00:12:48.3965987Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.3966359Z 2024-12-18T00:12:48.4224647Z 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. 2024-12-18T00:12:48.4225638Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.4226334Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-12-18T00:12:48.4226770Z 2024-12-18T00:12:48.4227087Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-12-18T00:12:48.4227630Z and with 2D inputs, this class 2024-12-18T00:12:48.4227837Z 2024-12-18T00:12:48.4228152Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-12-18T00:12:48.4228887Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-12-18T00:12:48.4229617Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-12-18T00:12:48.4230034Z 2024-12-18T00:12:48.4230387Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-12-18T00:12:48.4230946Z operations. 2024-12-18T00:12:48.4231098Z 2024-12-18T00:12:48.4231356Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-12-18T00:12:48.4231964Z pass. This scales the output of the Embedding before performing a weighted 2024-12-18T00:12:48.4232570Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-12-18T00:12:48.4233289Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-12-18T00:12:48.4233745Z :attr:`per_sample_weights`. 2024-12-18T00:12:48.4233956Z 2024-12-18T00:12:48.4234044Z Args: 2024-12-18T00:12:48.4234364Z num_embeddings (int): size of the dictionary of embeddings 2024-12-18T00:12:48.4234836Z embedding_dim (int): the size of each embedding vector 2024-12-18T00:12:48.4235560Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-12-18T00:12:48.4236156Z is renormalized to have norm :attr:`max_norm`. 2024-12-18T00:12:48.4236768Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-12-18T00:12:48.4237552Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-12-18T00:12:48.4238168Z the words in the mini-batch. Default ``False``. 2024-12-18T00:12:48.4238697Z Note: this option is not supported when ``mode="max"``. 2024-12-18T00:12:48.4239251Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-12-18T00:12:48.4239841Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-12-18T00:12:48.4240402Z into consideration. ``"mean"`` computes the average of the values 2024-12-18T00:12:48.4240902Z in the bag, ``"max"`` computes the max value over each bag. 2024-12-18T00:12:48.4241313Z Default: ``"mean"`` 2024-12-18T00:12:48.4241931Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-12-18T00:12:48.4242627Z Notes for more details regarding sparse gradients. Note: this option is not 2024-12-18T00:12:48.4243136Z supported when ``mode="max"``. 2024-12-18T00:12:48.4243756Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-12-18T00:12:48.4244458Z is equivalent to the size of `indices`. This matches the CSR format. 2024-12-18T00:12:48.4245131Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-12-18T00:12:48.4245853Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-12-18T00:12:48.4246495Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-12-18T00:12:48.4247129Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-12-18T00:12:48.4247762Z zeros, but can be updated to another value to be used as the padding vector. 2024-12-18T00:12:48.4248375Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-12-18T00:12:48.4248837Z reduction. 2024-12-18T00:12:48.4249063Z 2024-12-18T00:12:48.4249155Z Attributes: 2024-12-18T00:12:48.4249621Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-12-18T00:12:48.4250201Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-12-18T00:12:48.4250455Z 2024-12-18T00:12:48.4250573Z Examples:: 2024-12-18T00:12:48.4250709Z 2024-12-18T00:12:48.4250891Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-12-18T00:12:48.4251326Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-12-18T00:12:48.4251747Z >>> # a batch of 2 samples of 4 indices each 2024-12-18T00:12:48.4252217Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-12-18T00:12:48.4252677Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-12-18T00:12:48.4253075Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:48.4253453Z >>> embedding_sum(input, offsets) 2024-12-18T00:12:48.4253803Z tensor([[-0.8861, -5.4350, -0.0523], 2024-12-18T00:12:48.4254188Z [ 1.1306, -2.5798, -1.0044]]) 2024-12-18T00:12:48.4254400Z 2024-12-18T00:12:48.4254522Z >>> # Example with padding_idx 2024-12-18T00:12:48.4254947Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-12-18T00:12:48.4255445Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-12-18T00:12:48.4255904Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-12-18T00:12:48.4256287Z >>> embedding_sum(input, offsets) 2024-12-18T00:12:48.4256627Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-12-18T00:12:48.4256950Z [-0.7082, 3.2145, -2.6251]]) 2024-12-18T00:12:48.4257159Z 2024-12-18T00:12:48.4257373Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-12-18T00:12:48.4257815Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-12-18T00:12:48.4258398Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-12-18T00:12:48.4258783Z embedding.weight, 2024-12-18T00:12:48.4259121Z padding_idx=embedding.padding_idx, 2024-12-18T00:12:48.4259470Z mode='sum') 2024-12-18T00:12:48.4259717Z 2024-12-18T00:12:48.4260086Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.4260457Z 2024-12-18T00:12:48.4566573Z 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. 2024-12-18T00:12:48.4567620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.4568004Z 2024-12-18T00:12:48.4568242Z Context manager for training with uneven inputs across processes in DDP. 2024-12-18T00:12:48.4568599Z 2024-12-18T00:12:48.4568819Z This context manager will keep track of already-joined DDP processes, 2024-12-18T00:12:48.4569370Z and "shadow" the forward and backward passes by inserting collective 2024-12-18T00:12:48.4569928Z communication operations to match with the ones created by non-joined 2024-12-18T00:12:48.4570493Z DDP processes. This will ensure each collective call has a corresponding 2024-12-18T00:12:48.4571058Z call by already-joined DDP processes, preventing hangs or errors that 2024-12-18T00:12:48.4571591Z would otherwise happen when training with uneven inputs across 2024-12-18T00:12:48.4572143Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-12-18T00:12:48.4572705Z specified to be ``True``, all trainers will throw an error once one rank 2024-12-18T00:12:48.4573238Z runs out of inputs, allowing these errors to be caught and handled 2024-12-18T00:12:48.4573653Z according to application logic. 2024-12-18T00:12:48.4573865Z 2024-12-18T00:12:48.4574084Z Once all DDP processes have joined, the context manager will broadcast 2024-12-18T00:12:48.4574644Z the model corresponding to the last joined process to all processes to 2024-12-18T00:12:48.4575131Z ensure the model is the same across all processes 2024-12-18T00:12:48.4575503Z (which is guaranteed by DDP). 2024-12-18T00:12:48.4575692Z 2024-12-18T00:12:48.4575894Z To use this to enable training with uneven inputs across processes, 2024-12-18T00:12:48.4576430Z simply wrap this context manager around your training loop. No further 2024-12-18T00:12:48.4576944Z modifications to the model or data loading is required. 2024-12-18T00:12:48.4577234Z 2024-12-18T00:12:48.4577337Z .. warning:: 2024-12-18T00:12:48.4577680Z If the model or training loop this context manager is wrapped around 2024-12-18T00:12:48.4578323Z has additional distributed collective operations, such as 2024-12-18T00:12:48.4578801Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-12-18T00:12:48.4579314Z ``throw_on_early_termination`` must be enabled. This is because this 2024-12-18T00:12:48.4579853Z context manager is not aware of non-DDP collective communication. 2024-12-18T00:12:48.4580349Z This flag will cause all ranks to throw when any one rank 2024-12-18T00:12:48.4580934Z exhausts inputs, allowing these errors to be caught and recovered 2024-12-18T00:12:48.4581354Z from across all ranks. 2024-12-18T00:12:48.4581541Z 2024-12-18T00:12:48.4581627Z Args: 2024-12-18T00:12:48.4581939Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-12-18T00:12:48.4582445Z gradients by the initial ``world_size`` DDP training was launched 2024-12-18T00:12:48.4582937Z with. If ``False``, will compute the effective world size 2024-12-18T00:12:48.4583405Z (number of ranks that have not depleted their inputs yet) and 2024-12-18T00:12:48.4583844Z divide gradients by that during allreduce. Set 2024-12-18T00:12:48.4584322Z ``divide_by_initial_world_size=True`` to ensure every input 2024-12-18T00:12:48.4584825Z sample including the uneven inputs have equal weight in terms of 2024-12-18T00:12:48.4585322Z how much they contribute to the global gradient. This is 2024-12-18T00:12:48.4585786Z achieved by always dividing the gradient by the initial 2024-12-18T00:12:48.4586262Z ``world_size`` even when we encounter uneven inputs. If you set 2024-12-18T00:12:48.4586727Z this to ``False``, we divide the gradient by the remaining 2024-12-18T00:12:48.4587208Z number of nodes. This ensures parity with training on a smaller 2024-12-18T00:12:48.4587705Z ``world_size`` although it also means the uneven inputs would 2024-12-18T00:12:48.4588198Z contribute more towards the global gradient. Typically, you 2024-12-18T00:12:48.4588693Z would want to set this to ``True`` for cases where the last few 2024-12-18T00:12:48.4589184Z inputs of your training job are uneven. In extreme cases, where 2024-12-18T00:12:48.4589682Z there is a large discrepancy in the number of inputs, setting 2024-12-18T00:12:48.4590123Z this to ``False`` might provide better results. 2024-12-18T00:12:48.4590592Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-12-18T00:12:48.4591094Z in ``enable=False`` to disable in cases where you know that 2024-12-18T00:12:48.4591568Z inputs are even across participating processes. Default is 2024-12-18T00:12:48.4591949Z ``True``. 2024-12-18T00:12:48.4592277Z throw_on_early_termination (bool): Whether to throw an error 2024-12-18T00:12:48.4592752Z or continue training when at least one rank has exhausted 2024-12-18T00:12:48.4593227Z inputs. If ``True``, will throw upon the first rank reaching end 2024-12-18T00:12:48.4593707Z of data. If ``False``, will continue training with a smaller 2024-12-18T00:12:48.4594258Z effective world size until all ranks are joined. Note that if 2024-12-18T00:12:48.4594739Z this flag is specified, then the flag 2024-12-18T00:12:48.4595281Z ``divide_by_initial_world_size`` would be ignored. Default 2024-12-18T00:12:48.4595665Z is ``False``. 2024-12-18T00:12:48.4595824Z 2024-12-18T00:12:48.4595830Z 2024-12-18T00:12:48.4595937Z Example:: 2024-12-18T00:12:48.4596060Z 2024-12-18T00:12:48.4596186Z >>> # xdoctest: +SKIP("Distributed") 2024-12-18T00:12:48.4596493Z >>> import torch 2024-12-18T00:12:48.4596769Z >>> import torch.distributed as dist 2024-12-18T00:12:48.4597086Z >>> import os 2024-12-18T00:12:48.4597357Z >>> import torch.multiprocessing as mp 2024-12-18T00:12:48.4597692Z >>> import torch.nn as nn 2024-12-18T00:12:48.4597975Z >>> # On each spawned worker 2024-12-18T00:12:48.4598271Z >>> def worker(rank): 2024-12-18T00:12:48.4598684Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-12-18T00:12:48.4599095Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:48.4599464Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-12-18T00:12:48.4599879Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-12-18T00:12:48.4600318Z >>> model, device_ids=[rank], output_device=rank 2024-12-18T00:12:48.4600732Z >>> ) 2024-12-18T00:12:48.4601003Z >>> # Rank 1 gets one more input than rank 0. 2024-12-18T00:12:48.4601515Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-12-18T00:12:48.4601921Z >>> with model.join(): 2024-12-18T00:12:48.4602217Z >>> for _ in range(5): 2024-12-18T00:12:48.4602528Z >>> for inp in inputs: 2024-12-18T00:12:48.4602862Z >>> loss = model(inp).sum() 2024-12-18T00:12:48.4603201Z >>> loss.backward() 2024-12-18T00:12:48.4603599Z >>> # Without the join() API, the below synchronization will hang 2024-12-18T00:12:48.4604057Z >>> # blocking for rank 1's allreduce to complete. 2024-12-18T00:12:48.4604475Z >>> torch.cuda.synchronize(device=rank) 2024-12-18T00:12:48.4604725Z 2024-12-18T00:12:48.4604978Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.4605340Z 2024-12-18T00:12:48.4606091Z 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. 2024-12-18T00:12:48.4607168Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.4607544Z 2024-12-18T00:12:48.4607864Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-12-18T00:12:48.4608285Z 2024-12-18T00:12:48.4608503Z Registers an optimizer with DDP such that the optimization for a 2024-12-18T00:12:48.4609021Z parameter will run immediately when that parameter's gradient is 2024-12-18T00:12:48.4609543Z finished with reduction, instead of waiting for all parameters' 2024-12-18T00:12:48.4610082Z gradients to finish reduction. This can result in a training speedup 2024-12-18T00:12:48.4610635Z depending on your workload since the optimizer can run while gradient 2024-12-18T00:12:48.4611195Z reduction for other parameters are still ongoing. In addition, this has 2024-12-18T00:12:48.4611765Z the potential to reduce peak memory consumption during training, as it 2024-12-18T00:12:48.4612296Z only needs to load the per-parameter optimizer states of a single 2024-12-18T00:12:48.4612822Z parameter at a time, instead of loading all per-parameter optimizer 2024-12-18T00:12:48.4613245Z states at once. 2024-12-18T00:12:48.4613385Z 2024-12-18T00:12:48.4613483Z Args: 2024-12-18T00:12:48.4613803Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-12-18T00:12:48.4614206Z as a fused optimizer. 2024-12-18T00:12:48.4614555Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-12-18T00:12:48.4615051Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-12-18T00:12:48.4615607Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-12-18T00:12:48.4616151Z Optimizers. If this is omitted, all DDP model parameters will be 2024-12-18T00:12:48.4616564Z optimized. 2024-12-18T00:12:48.4616898Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-12-18T00:12:48.4617219Z 2024-12-18T00:12:48.4617314Z .. warning :: 2024-12-18T00:12:48.4617667Z _register_fused_optim should only be called once on a DDP instance, 2024-12-18T00:12:48.4618207Z and registering multiple fused optimizers for the same DDP model 2024-12-18T00:12:48.4618663Z is not currently supported. Please ping 2024-12-18T00:12:48.4619134Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:48.4619617Z for your use case. 2024-12-18T00:12:48.4619793Z 2024-12-18T00:12:48.4619885Z .. warning :: 2024-12-18T00:12:48.4620221Z _register_fused_optim and register_comm_hook currently do not 2024-12-18T00:12:48.4620752Z compose together, meaning that custom DDP communication hooks are 2024-12-18T00:12:48.4621247Z not supported with overlapped optimizers. Please ping 2024-12-18T00:12:48.4621822Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:48.4622299Z for your use case. 2024-12-18T00:12:48.4622474Z 2024-12-18T00:12:48.4622566Z .. warning :: 2024-12-18T00:12:48.4622932Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-12-18T00:12:48.4623402Z with overlapped optimizer. Please ping 2024-12-18T00:12:48.4623854Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:48.4624296Z for your use case. 2024-12-18T00:12:48.4624465Z 2024-12-18T00:12:48.4624554Z Example:: 2024-12-18T00:12:48.4624677Z 2024-12-18T00:12:48.4624820Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-12-18T00:12:48.4625365Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-12-18T00:12:48.4626004Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-12-18T00:12:48.4626411Z >>> lr = 1e-2 2024-12-18T00:12:48.4626651Z >>> betas = (0.9, 0.99) 2024-12-18T00:12:48.4626922Z >>> eps = 1e-6 2024-12-18T00:12:48.4627296Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-12-18T00:12:48.4627763Z >>> # Example with subset of parameters 2024-12-18T00:12:48.4628119Z >>> params_to_opt = [list(net.parameters())[0]] 2024-12-18T00:12:48.4628478Z >>> net._register_fused_optim( 2024-12-18T00:12:48.4628916Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-12-18T00:12:48.4629352Z ... ) 2024-12-18T00:12:48.4629473Z 2024-12-18T00:12:48.4629734Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.4630098Z 2024-12-18T00:12:48.4852967Z 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. 2024-12-18T00:12:48.4853984Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.4854572Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-12-18T00:12:48.4854920Z 2024-12-18T00:12:48.4855192Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-12-18T00:12:48.4855852Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-12-18T00:12:48.4856500Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-12-18T00:12:48.4857183Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-12-18T00:12:48.4857690Z 2024-12-18T00:12:48.4857851Z .. note:: 2024-12-18T00:12:48.4858393Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-12-18T00:12:48.4859048Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-12-18T00:12:48.4859603Z layer with 4d weight will be affected by ``model.to``, which does not 2024-12-18T00:12:48.4860161Z necessarily benefit from conversion to specified ``memory_format``. 2024-12-18T00:12:48.4860730Z One place we are confident in is that NHWC(channels_last) conversion for 2024-12-18T00:12:48.4861289Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2024-12-18T00:12:48.4861818Z even in cases where we have to apply permutation to input tensors. 2024-12-18T00:12:48.4862142Z 2024-12-18T00:12:48.4862367Z Hence our strategy here is to convert only the weight of convolution to 2024-12-18T00:12:48.4862827Z channels_last. This ensures that; 2024-12-18T00:12:48.4863422Z 1. Fast convolution kernels will be used, the benefit of which could 2024-12-18T00:12:48.4863999Z outweigh overhead of permutation (if input is not in the same format). 2024-12-18T00:12:48.4864593Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-12-18T00:12:48.4865049Z from memory_format conversion. 2024-12-18T00:12:48.4865277Z 2024-12-18T00:12:48.4865544Z The optimal case is that, layers between convolution layers are channels 2024-12-18T00:12:48.4866173Z last compatible. Input tensor would be permuted to channels last when it 2024-12-18T00:12:48.4866761Z encounters the first convolution layer and stay in that memory format. 2024-12-18T00:12:48.4867353Z Hence following convolutions will not need to permute its input tensor. 2024-12-18T00:12:48.4867705Z 2024-12-18T00:12:48.4867943Z In case where a channels last incompatible layer is between convolution 2024-12-18T00:12:48.4868485Z layers, we need to permute the input tensor back to contiguous format 2024-12-18T00:12:48.4869053Z for that layer. The input tensor will go through the remaining layers in 2024-12-18T00:12:48.4869664Z contiguous format and be permuted to channels last when it encounters 2024-12-18T00:12:48.4870225Z another convolution layer. There's no point in propagating that 2024-12-18T00:12:48.4870778Z permutation to an earlier layer, as most layers are quite agnostic to 2024-12-18T00:12:48.4871222Z ``memory_format``. 2024-12-18T00:12:48.4871397Z 2024-12-18T00:12:48.4871628Z This claim might change when PyTorch supports fusion of permutation, as 2024-12-18T00:12:48.4872197Z there might have been a better spot to fuse the permutation other than 2024-12-18T00:12:48.4872657Z immediately before a convolution. 2024-12-18T00:12:48.4872894Z 2024-12-18T00:12:48.4872981Z Args: 2024-12-18T00:12:48.4873332Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-12-18T00:12:48.4873772Z ``nn.Module`` 2024-12-18T00:12:48.4874127Z memory_format: user specified ``memory_format``, 2024-12-18T00:12:48.4874575Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-12-18T00:12:48.4874879Z 2024-12-18T00:12:48.4874967Z Returns: 2024-12-18T00:12:48.4875245Z The original module with updated ``nn.Conv2d`` 2024-12-18T00:12:48.4875498Z 2024-12-18T00:12:48.4875600Z Example: 2024-12-18T00:12:48.4875863Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:48.4876271Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-12-18T00:12:48.4876768Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-12-18T00:12:48.4877221Z >>> model = nn.Sequential( 2024-12-18T00:12:48.4877543Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-12-18T00:12:48.4877869Z >>> # This is identical to: 2024-12-18T00:12:48.4878320Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-12-18T00:12:48.4878947Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-12-18T00:12:48.4879429Z >>> out = model(input) 2024-12-18T00:12:48.4879705Z 2024-12-18T00:12:48.4880080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.4880449Z 2024-12-18T00:12:48.4881106Z 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. 2024-12-18T00:12:48.4882157Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.4882751Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-12-18T00:12:48.4883357Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-12-18T00:12:48.4884021Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-12-18T00:12:48.4884715Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-12-18T00:12:48.4885399Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-12-18T00:12:48.4885816Z 2024-12-18T00:12:48.4885931Z .. note:: 2024-12-18T00:12:48.4886336Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2024-12-18T00:12:48.4886961Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-12-18T00:12:48.4887513Z layer with 4d weight will be affected by ``model.to``, which does not 2024-12-18T00:12:48.4888075Z necessarily benefit from conversion to specified ``memory_format``. 2024-12-18T00:12:48.4888657Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2024-12-18T00:12:48.4889229Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2024-12-18T00:12:48.4889781Z even in cases where we have to apply permutation to input tensors. 2024-12-18T00:12:48.4890107Z 2024-12-18T00:12:48.4890359Z Hence our strategy here is to convert only the weight of convolution to 2024-12-18T00:12:48.4890829Z channels_last_3d. This ensures that; 2024-12-18T00:12:48.4891271Z 1. Fast convolution kernels will be used, the benefit of which could 2024-12-18T00:12:48.4891841Z outweigh overhead of permutation (if input is not in the same format). 2024-12-18T00:12:48.4892410Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-12-18T00:12:48.4892873Z from memory_format conversion. 2024-12-18T00:12:48.4893097Z 2024-12-18T00:12:48.4893320Z The optimal case is that, layers between convolution layers are channels 2024-12-18T00:12:48.4893893Z last compatible. Input tensor would be permuted to channels last when it 2024-12-18T00:12:48.4894472Z encounters the first convolution layer and stay in that memory format. 2024-12-18T00:12:48.4895061Z Hence following convolutions will not need to permute its input tensor. 2024-12-18T00:12:48.4895410Z 2024-12-18T00:12:48.4895632Z In case where a channels last incompatible layer is between convolution 2024-12-18T00:12:48.4896182Z layers, we need to permute the input tensor back to contiguous format 2024-12-18T00:12:48.4896739Z for that layer. The input tensor will go through the remaining layers in 2024-12-18T00:12:48.4897309Z contiguous format and be permuted to channels last when it encounters 2024-12-18T00:12:48.4897864Z another convolution layer. There's no point in propagating that 2024-12-18T00:12:48.4898405Z permutation to an earlier layer, as most layers are quite agnostic to 2024-12-18T00:12:48.4898826Z ``memory_format``. 2024-12-18T00:12:48.4899009Z 2024-12-18T00:12:48.4899241Z This claim might change when PyTorch supports fusion of permutation, as 2024-12-18T00:12:48.4899813Z there might have been a better spot to fuse the permutation other than 2024-12-18T00:12:48.4900271Z immediately before a convolution. 2024-12-18T00:12:48.4900495Z 2024-12-18T00:12:48.4900594Z Args: 2024-12-18T00:12:48.4900937Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-12-18T00:12:48.4901366Z ``nn.Module`` 2024-12-18T00:12:48.4901737Z memory_format: user specified ``memory_format``, 2024-12-18T00:12:48.4902180Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-12-18T00:12:48.4902472Z 2024-12-18T00:12:48.4902574Z Returns: 2024-12-18T00:12:48.4902854Z The original module with updated ``nn.Conv3d`` 2024-12-18T00:12:48.4903105Z 2024-12-18T00:12:48.4903209Z Example: 2024-12-18T00:12:48.4903476Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:48.4903890Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-12-18T00:12:48.4904427Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-12-18T00:12:48.4904885Z >>> model = nn.Sequential( 2024-12-18T00:12:48.4905210Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-12-18T00:12:48.4905534Z >>> # This is identical to: 2024-12-18T00:12:48.4905992Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-12-18T00:12:48.4906693Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-12-18T00:12:48.4907182Z >>> out = model(input) 2024-12-18T00:12:48.4907462Z 2024-12-18T00:12:48.4907822Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.4908198Z 2024-12-18T00:12:48.5071763Z 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. 2024-12-18T00:12:48.5072680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.5073300Z Prune tensor by removing random channels along the specified dimension. 2024-12-18T00:12:48.5073656Z 2024-12-18T00:12:48.5073994Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-12-18T00:12:48.5074570Z by removing the specified ``amount`` of (currently unpruned) channels 2024-12-18T00:12:48.5075052Z along the specified ``dim`` selected at random. 2024-12-18T00:12:48.5075522Z Modifies module in place (and also return the modified module) 2024-12-18T00:12:48.5075976Z by: 2024-12-18T00:12:48.5076110Z 2024-12-18T00:12:48.5076321Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:48.5076949Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:48.5077503Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:48.5078046Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:48.5078466Z ``name+'_orig'``. 2024-12-18T00:12:48.5078646Z 2024-12-18T00:12:48.5078731Z Args: 2024-12-18T00:12:48.5079043Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:48.5079524Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:48.5079920Z will act. 2024-12-18T00:12:48.5080267Z amount (int or float): quantity of parameters to prune. 2024-12-18T00:12:48.5080726Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:48.5081220Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:48.5081755Z absolute number of parameters to prune. 2024-12-18T00:12:48.5082316Z dim (int): index of the dim along which we define channels to prune. 2024-12-18T00:12:48.5082628Z 2024-12-18T00:12:48.5082735Z Returns: 2024-12-18T00:12:48.5083078Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:48.5083427Z 2024-12-18T00:12:48.5083517Z Examples: 2024-12-18T00:12:48.5083754Z >>> # xdoctest: +SKIP 2024-12-18T00:12:48.5084062Z >>> m = prune.random_structured( 2024-12-18T00:12:48.5084430Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-12-18T00:12:48.5084769Z ... ) 2024-12-18T00:12:48.5085076Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-12-18T00:12:48.5085481Z >>> print(columns_pruned) 2024-12-18T00:12:48.5085770Z 3 2024-12-18T00:12:48.5085984Z 2024-12-18T00:12:48.5086387Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.5086759Z 2024-12-18T00:12:48.5087298Z 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. 2024-12-18T00:12:48.5088168Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.5088945Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-12-18T00:12:48.5089377Z 2024-12-18T00:12:48.5089614Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-12-18T00:12:48.5090184Z by removing the specified ``amount`` of (currently unpruned) channels 2024-12-18T00:12:48.5090695Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-12-18T00:12:48.5091269Z Modifies module in place (and also return the modified module) 2024-12-18T00:12:48.5091672Z by: 2024-12-18T00:12:48.5091792Z 2024-12-18T00:12:48.5092002Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:48.5092554Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:48.5093100Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:48.5093639Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:48.5094069Z ``name+'_orig'``. 2024-12-18T00:12:48.5094233Z 2024-12-18T00:12:48.5094321Z Args: 2024-12-18T00:12:48.5094655Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:48.5095135Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:48.5095528Z will act. 2024-12-18T00:12:48.5095870Z amount (int or float): quantity of parameters to prune. 2024-12-18T00:12:48.5096341Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:48.5096828Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:48.5097283Z absolute number of parameters to prune. 2024-12-18T00:12:48.5097728Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-12-18T00:12:48.5098196Z entries for argument ``p`` in :func:`torch.norm`. 2024-12-18T00:12:48.5098774Z dim (int): index of the dim along which we define channels to prune. 2024-12-18T00:12:48.5099318Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-12-18T00:12:48.5099868Z shape as module parameter) used to compute mask for pruning. 2024-12-18T00:12:48.5100402Z The values in this tensor indicate the importance of the corresponding 2024-12-18T00:12:48.5100878Z elements in the parameter being pruned. 2024-12-18T00:12:48.5101361Z If unspecified or None, the module parameter will be used in its place. 2024-12-18T00:12:48.5101704Z 2024-12-18T00:12:48.5101810Z Returns: 2024-12-18T00:12:48.5102156Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:48.5102502Z 2024-12-18T00:12:48.5102591Z Examples: 2024-12-18T00:12:48.5102851Z >>> from torch.nn.utils import prune 2024-12-18T00:12:48.5103190Z >>> m = prune.ln_structured( 2024-12-18T00:12:48.5103582Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-12-18T00:12:48.5103962Z ... ) 2024-12-18T00:12:48.5104185Z 2024-12-18T00:12:48.5104557Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.5104930Z 2024-12-18T00:12:48.5105464Z 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. 2024-12-18T00:12:48.5106371Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.5106742Z 2024-12-18T00:12:48.5107179Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-12-18T00:12:48.5107714Z 2024-12-18T00:12:48.5107843Z Modifies modules in place by: 2024-12-18T00:12:48.5108035Z 2024-12-18T00:12:48.5108243Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:48.5108793Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:48.5109382Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:48.5109917Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:48.5110340Z ``name+'_orig'``. 2024-12-18T00:12:48.5110492Z 2024-12-18T00:12:48.5110588Z Args: 2024-12-18T00:12:48.5110903Z parameters (Iterable of (module, name) tuples): parameters of 2024-12-18T00:12:48.5111472Z the model to prune in a global fashion, i.e. by aggregating all 2024-12-18T00:12:48.5111994Z weights prior to deciding which ones to prune. module must be of 2024-12-18T00:12:48.5112472Z type :class:`nn.Module`, and name must be a string. 2024-12-18T00:12:48.5112965Z pruning_method (function): a valid pruning function from this module, 2024-12-18T00:12:48.5113469Z or a custom one implemented by the user that satisfies the 2024-12-18T00:12:48.5114009Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-12-18T00:12:48.5114592Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-12-18T00:12:48.5115169Z the corresponding parameter's importance scores tensor. The tensor 2024-12-18T00:12:48.5115750Z should be the same shape as the parameter, and is used for computing 2024-12-18T00:12:48.5116181Z mask for pruning. 2024-12-18T00:12:48.5116558Z If unspecified or None, the parameter will be used in place of its 2024-12-18T00:12:48.5116995Z importance scores. 2024-12-18T00:12:48.5117309Z kwargs: other keyword arguments such as: 2024-12-18T00:12:48.5117745Z amount (int or float): quantity of parameters to prune across the 2024-12-18T00:12:48.5118174Z specified parameters. 2024-12-18T00:12:48.5118528Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:48.5119028Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:48.5119479Z absolute number of parameters to prune. 2024-12-18T00:12:48.5119716Z 2024-12-18T00:12:48.5119814Z Raises: 2024-12-18T00:12:48.5120097Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-12-18T00:12:48.5120352Z 2024-12-18T00:12:48.5120455Z Note: 2024-12-18T00:12:48.5120781Z Since global structured pruning doesn't make much sense unless the 2024-12-18T00:12:48.5121311Z norm is normalized by the size of the parameter, we now limit the 2024-12-18T00:12:48.5121875Z scope of global pruning to unstructured methods. 2024-12-18T00:12:48.5122132Z 2024-12-18T00:12:48.5122239Z Examples: 2024-12-18T00:12:48.5122492Z >>> from torch.nn.utils import prune 2024-12-18T00:12:48.5122832Z >>> from collections import OrderedDict 2024-12-18T00:12:48.5123185Z >>> net = nn.Sequential(OrderedDict([ 2024-12-18T00:12:48.5123517Z ... ('first', nn.Linear(10, 4)), 2024-12-18T00:12:48.5123836Z ... ('second', nn.Linear(4, 1)), 2024-12-18T00:12:48.5124135Z ... ])) 2024-12-18T00:12:48.5124360Z >>> parameters_to_prune = ( 2024-12-18T00:12:48.5124661Z ... (net.first, 'weight'), 2024-12-18T00:12:48.5124966Z ... (net.second, 'weight'), 2024-12-18T00:12:48.5125255Z ... ) 2024-12-18T00:12:48.5125497Z >>> prune.global_unstructured( 2024-12-18T00:12:48.5125796Z ... parameters_to_prune, 2024-12-18T00:12:48.5126128Z ... pruning_method=prune.L1Unstructured, 2024-12-18T00:12:48.5126466Z ... amount=10, 2024-12-18T00:12:48.5126714Z ... ) 2024-12-18T00:12:48.5127065Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-12-18T00:12:48.5127487Z tensor(10) 2024-12-18T00:12:48.5127635Z 2024-12-18T00:12:48.5127639Z 2024-12-18T00:12:48.5127891Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.5128263Z 2024-12-18T00:12:48.5128770Z 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. 2024-12-18T00:12:48.5129663Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.5130479Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-12-18T00:12:48.5130978Z 2024-12-18T00:12:48.5131206Z Modifies module in place (and also return the modified module) by: 2024-12-18T00:12:48.5131532Z 2024-12-18T00:12:48.5131754Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:48.5132347Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:48.5132900Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:48.5133445Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:48.5133874Z ``name+'_orig'``. 2024-12-18T00:12:48.5134039Z 2024-12-18T00:12:48.5134139Z Args: 2024-12-18T00:12:48.5134448Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:48.5134922Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:48.5135315Z will act. 2024-12-18T00:12:48.5135681Z mask (Tensor): binary mask to be applied to the parameter. 2024-12-18T00:12:48.5135968Z 2024-12-18T00:12:48.5136069Z Returns: 2024-12-18T00:12:48.5136421Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:48.5136751Z 2024-12-18T00:12:48.5136842Z Examples: 2024-12-18T00:12:48.5137105Z >>> from torch.nn.utils import prune 2024-12-18T00:12:48.5137447Z >>> m = prune.custom_from_mask( 2024-12-18T00:12:48.5137837Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-12-18T00:12:48.5138213Z ... ) 2024-12-18T00:12:48.5138437Z >>> print(m.bias_mask) 2024-12-18T00:12:48.5138724Z tensor([0., 1., 0.]) 2024-12-18T00:12:48.5138909Z 2024-12-18T00:12:48.5138992Z 2024-12-18T00:12:48.5139359Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.5139721Z 2024-12-18T00:12:48.6185221Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=116. 2024-12-18T00:12:48.6186411Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.6187181Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2024-12-18T00:12:48.6187661Z 2024-12-18T00:12:48.6187915Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-12-18T00:12:48.6188501Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-12-18T00:12:48.6189046Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-12-18T00:12:48.6189472Z (UAI 2018). 2024-12-18T00:12:48.6189620Z 2024-12-18T00:12:48.6189838Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-12-18T00:12:48.6190410Z but using exponential weights instead of equal weights across iterations. 2024-12-18T00:12:48.6190767Z 2024-12-18T00:12:48.6191015Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-12-18T00:12:48.6191598Z on the device :attr:`device` and allows to compute running averages of the 2024-12-18T00:12:48.6192043Z parameters of the :attr:`model`. 2024-12-18T00:12:48.6192265Z 2024-12-18T00:12:48.6192351Z Args: 2024-12-18T00:12:48.6192638Z model (torch.nn.Module): model to use with SWA/EMA 2024-12-18T00:12:48.6193150Z device (torch.device, optional): if provided, the averaged model will be 2024-12-18T00:12:48.6193620Z stored on the :attr:`device` 2024-12-18T00:12:48.6194035Z avg_fn (function, optional): the averaging function used to update 2024-12-18T00:12:48.6194569Z parameters; the function must take in the current value of the 2024-12-18T00:12:48.6195289Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-12-18T00:12:48.6196161Z parameter, and the number of models already averaged; if None, 2024-12-18T00:12:48.6196640Z an equally weighted average is used (default: None) 2024-12-18T00:12:48.6197144Z multi_avg_fn (function, optional): the averaging function used to update 2024-12-18T00:12:48.6197715Z parameters inplace; the function must take in the current values of the 2024-12-18T00:12:48.6198451Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-12-18T00:12:48.6199070Z parameters as a list, and the number of models already averaged; if None, 2024-12-18T00:12:48.6199588Z an equally weighted average is used (default: None) 2024-12-18T00:12:48.6200070Z use_buffers (bool): if ``True``, it will compute running averages for 2024-12-18T00:12:48.6200620Z both the parameters and the buffers of the model. (default: ``False``) 2024-12-18T00:12:48.6200959Z 2024-12-18T00:12:48.6201053Z Example: 2024-12-18T00:12:48.6201326Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:48.6201787Z >>> loader, optimizer, model, loss_fn = ... 2024-12-18T00:12:48.6202284Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-12-18T00:12:48.6202807Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-12-18T00:12:48.6203257Z >>> T_max=300) 2024-12-18T00:12:48.6203599Z >>> swa_start = 160 2024-12-18T00:12:48.6203929Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-12-18T00:12:48.6204294Z >>> for i in range(300): 2024-12-18T00:12:48.6204608Z >>> for input, target in loader: 2024-12-18T00:12:48.6204950Z >>> optimizer.zero_grad() 2024-12-18T00:12:48.6205303Z >>> loss_fn(model(input), target).backward() 2024-12-18T00:12:48.6205665Z >>> optimizer.step() 2024-12-18T00:12:48.6205981Z >>> if i > swa_start: 2024-12-18T00:12:48.6206311Z >>> swa_model.update_parameters(model) 2024-12-18T00:12:48.6206669Z >>> swa_scheduler.step() 2024-12-18T00:12:48.6206968Z >>> else: 2024-12-18T00:12:48.6207231Z >>> scheduler.step() 2024-12-18T00:12:48.6207526Z >>> 2024-12-18T00:12:48.6207812Z >>> # Update bn statistics for the swa_model at the end 2024-12-18T00:12:48.6208255Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-12-18T00:12:48.6208526Z 2024-12-18T00:12:48.6208822Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-12-18T00:12:48.6209430Z If no averaging function is provided, the default is to compute 2024-12-18T00:12:48.6209890Z equally-weighted average of the weights (SWA). 2024-12-18T00:12:48.6210155Z 2024-12-18T00:12:48.6210244Z Example: 2024-12-18T00:12:48.6210515Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:48.6210972Z >>> # Compute exponential moving averages of the weights and buffers 2024-12-18T00:12:48.6211463Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-12-18T00:12:48.6211969Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-12-18T00:12:48.6212314Z 2024-12-18T00:12:48.6212416Z .. note:: 2024-12-18T00:12:48.6212774Z When using SWA/EMA with models containing Batch Normalization you may 2024-12-18T00:12:48.6213325Z need to update the activation statistics for Batch Normalization. 2024-12-18T00:12:48.6213873Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-12-18T00:12:48.6214461Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-12-18T00:12:48.6215048Z statistics in a post-training step by passing data through the model. The 2024-12-18T00:12:48.6215644Z second does it during the parameter update phase by averaging all buffers. 2024-12-18T00:12:48.6216284Z Empirical evidence has shown that updating the statistics in normalization 2024-12-18T00:12:48.6216878Z layers increases accuracy, but you may wish to empirically test which 2024-12-18T00:12:48.6217370Z approach yields the best results in your problem. 2024-12-18T00:12:48.6217649Z 2024-12-18T00:12:48.6217739Z .. note:: 2024-12-18T00:12:48.6218168Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-12-18T00:12:48.6218582Z 2024-12-18T00:12:48.6218671Z .. note:: 2024-12-18T00:12:48.6219008Z When :meth:`update_parameters` is called for the first time (i.e. 2024-12-18T00:12:48.6219519Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-12-18T00:12:48.6220017Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-12-18T00:12:48.6220534Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-12-18T00:12:48.6220955Z to update the parameters. 2024-12-18T00:12:48.6221164Z 2024-12-18T00:12:48.6221387Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-12-18T00:12:48.6221892Z https://arxiv.org/abs/1803.05407 2024-12-18T00:12:48.6222358Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-12-18T00:12:48.6222790Z Average: 2024-12-18T00:12:48.6223059Z https://arxiv.org/abs/1806.05594 2024-12-18T00:12:48.6223494Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-12-18T00:12:48.6223931Z https://arxiv.org/abs/1904.11943 2024-12-18T00:12:48.6224384Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-12-18T00:12:48.6224813Z Generalizes Well: 2024-12-18T00:12:48.6225106Z https://arxiv.org/abs/2001.02312 2024-12-18T00:12:48.6225427Z .. _Polyak averaging: 2024-12-18T00:12:48.6225774Z https://paperswithcode.com/method/polyak-averaging 2024-12-18T00:12:48.6226146Z 2024-12-18T00:12:48.6226502Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.6226871Z 2024-12-18T00:12:48.6227360Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/swa_utils.py line=368. 2024-12-18T00:12:48.6228202Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:48.6228801Z Anneals the learning rate in each parameter group to a fixed value. 2024-12-18T00:12:48.6229137Z 2024-12-18T00:12:48.6229367Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-12-18T00:12:48.6229928Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-12-18T00:12:48.6230253Z 2024-12-18T00:12:48.6230355Z Args: 2024-12-18T00:12:48.6230642Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-12-18T00:12:48.6231134Z swa_lrs (float or list): the learning rate value for all param groups 2024-12-18T00:12:48.6231592Z together or separately for each group. 2024-12-18T00:12:48.6232039Z annealing_epochs (int): number of epochs in the annealing phase 2024-12-18T00:12:48.6232457Z (default: 10) 2024-12-18T00:12:48.6232849Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-12-18T00:12:48.6233381Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-12-18T00:12:48.6233816Z (default: "cos") 2024-12-18T00:12:48.6234187Z last_epoch (int): the index of the last epoch (default: -1) 2024-12-18T00:12:48.6234474Z 2024-12-18T00:12:48.6234667Z The :class:`SWALR` scheduler can be used together with other 2024-12-18T00:12:48.6235188Z schedulers to switch to a constant learning rate late in the training 2024-12-18T00:12:48.6235616Z as in the example below. 2024-12-18T00:12:48.6235811Z 2024-12-18T00:12:48.6235901Z Example: 2024-12-18T00:12:48.6236174Z >>> # xdoctest: +SKIP("Undefined variables") 2024-12-18T00:12:48.6236579Z >>> loader, optimizer, model = ... 2024-12-18T00:12:48.6236920Z >>> lr_lambda = lambda epoch: 0.9 2024-12-18T00:12:48.6237367Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-12-18T00:12:48.6237801Z >>> lr_lambda=lr_lambda) 2024-12-18T00:12:48.6238191Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-12-18T00:12:48.6238806Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-12-18T00:12:48.6239216Z >>> swa_start = 160 2024-12-18T00:12:48.6239517Z >>> for i in range(300): 2024-12-18T00:12:48.6239817Z >>> for input, target in loader: 2024-12-18T00:12:48.6240166Z >>> optimizer.zero_grad() 2024-12-18T00:12:48.6240528Z >>> loss_fn(model(input), target).backward() 2024-12-18T00:12:48.6240892Z >>> optimizer.step() 2024-12-18T00:12:48.6241209Z >>> if i > swa_start: 2024-12-18T00:12:48.6241588Z >>> swa_scheduler.step() 2024-12-18T00:12:48.6241904Z >>> else: 2024-12-18T00:12:48.6242173Z >>> scheduler.step() 2024-12-18T00:12:48.6242410Z 2024-12-18T00:12:48.6242649Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-12-18T00:12:48.6243120Z https://arxiv.org/abs/1803.05407 2024-12-18T00:12:48.6243423Z 2024-12-18T00:12:48.6243804Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:48.6244186Z 2024-12-18T00:12:49.0894570Z 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. 2024-12-18T00:12:49.0895547Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:49.0896081Z Asserts that ``actual`` and ``expected`` are close. 2024-12-18T00:12:49.0896341Z 2024-12-18T00:12:49.0896726Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-12-18T00:12:49.0897222Z 2024-12-18T00:12:49.0897332Z .. math:: 2024-12-18T00:12:49.0897475Z 2024-12-18T00:12:49.0897850Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-12-18T00:12:49.0898339Z 2024-12-18T00:12:49.0898683Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-12-18T00:12:49.0899352Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-12-18T00:12:49.0899666Z 2024-12-18T00:12:49.0899920Z In addition, they are only considered close if they have the same 2024-12-18T00:12:49.0900244Z 2024-12-18T00:12:49.0900439Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-12-18T00:12:49.0900883Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-12-18T00:12:49.0901272Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-12-18T00:12:49.0901657Z - stride (if ``check_stride`` is ``True``). 2024-12-18T00:12:49.0901889Z 2024-12-18T00:12:49.0902199Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-12-18T00:12:49.0902610Z 2024-12-18T00:12:49.0902967Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-12-18T00:12:49.0903817Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-12-18T00:12:49.0904532Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-12-18T00:12:49.0905254Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-12-18T00:12:49.0905758Z 2024-12-18T00:12:49.0906035Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-12-18T00:12:49.0906974Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-12-18T00:12:49.0907545Z definition above. 2024-12-18T00:12:49.0907705Z 2024-12-18T00:12:49.0908013Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-12-18T00:12:49.0908809Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-12-18T00:12:49.0909776Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-12-18T00:12:49.0910630Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-12-18T00:12:49.0911342Z their elements are considered close according to the above definition. 2024-12-18T00:12:49.0911682Z 2024-12-18T00:12:49.0911789Z .. note:: 2024-12-18T00:12:49.0911918Z 2024-12-18T00:12:49.0912260Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-12-18T00:12:49.0913072Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-12-18T00:12:49.0913786Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-12-18T00:12:49.0914185Z 2024-12-18T00:12:49.0914271Z Args: 2024-12-18T00:12:49.0914506Z actual (Any): Actual input. 2024-12-18T00:12:49.0914832Z expected (Any): Expected input. 2024-12-18T00:12:49.0915415Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-12-18T00:12:49.0916033Z are allowed. Otherwise type equality is required. 2024-12-18T00:12:49.0916664Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-12-18T00:12:49.0917404Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-12-18T00:12:49.0918143Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-12-18T00:12:49.0918888Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-12-18T00:12:49.0919511Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-12-18T00:12:49.0920154Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-12-18T00:12:49.0920809Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-12-18T00:12:49.0921499Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-12-18T00:12:49.0922209Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-12-18T00:12:49.0923017Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-12-18T00:12:49.0923643Z :func:`torch.promote_types`) before being compared. 2024-12-18T00:12:49.0924280Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-12-18T00:12:49.0925073Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-12-18T00:12:49.0925621Z compared. 2024-12-18T00:12:49.0926141Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-12-18T00:12:49.0926963Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-12-18T00:12:49.0927776Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-12-18T00:12:49.0928367Z should return the new message. 2024-12-18T00:12:49.0928627Z 2024-12-18T00:12:49.0928716Z Raises: 2024-12-18T00:12:49.0929080Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-12-18T00:12:49.0929606Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-12-18T00:12:49.0930218Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-12-18T00:12:49.0931088Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-12-18T00:12:49.0942345Z different types. 2024-12-18T00:12:49.0942927Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-12-18T00:12:49.0943779Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-12-18T00:12:49.0944583Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-12-18T00:12:49.0945335Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-12-18T00:12:49.0945967Z :attr:`~torch.Tensor.layout`. 2024-12-18T00:12:49.0946425Z AssertionError: If only one of corresponding tensors is quantized. 2024-12-18T00:12:49.0947145Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-12-18T00:12:49.0947954Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-12-18T00:12:49.0948491Z :attr:`~torch.Tensor.device`. 2024-12-18T00:12:49.0949055Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-12-18T00:12:49.0949862Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-12-18T00:12:49.0950705Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-12-18T00:12:49.0951178Z 2024-12-18T00:12:49.0951554Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-12-18T00:12:49.0952169Z ``dtype``'s, the maximum of both tolerances is used. 2024-12-18T00:12:49.0952443Z 2024-12-18T00:12:49.0952581Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0952961Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-12-18T00:12:49.0953315Z +===========================+============+==========+ 2024-12-18T00:12:49.0953686Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-12-18T00:12:49.0954057Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0954441Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-12-18T00:12:49.0954819Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0955196Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0955574Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0955952Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-12-18T00:12:49.0956314Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0956687Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-12-18T00:12:49.0957060Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0957446Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0957822Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0958375Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-12-18T00:12:49.0958755Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0959136Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0959513Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0959987Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0960352Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0960736Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0961116Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0961576Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0962005Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0962434Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:49.0962798Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0963165Z | other | ``0.0`` | ``0.0`` | 2024-12-18T00:12:49.0963531Z +---------------------------+------------+----------+ 2024-12-18T00:12:49.0963766Z 2024-12-18T00:12:49.0963882Z .. note:: 2024-12-18T00:12:49.0964014Z 2024-12-18T00:12:49.0964413Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-12-18T00:12:49.0965309Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-12-18T00:12:49.0966027Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-12-18T00:12:49.0966414Z 2024-12-18T00:12:49.0966515Z >>> import functools 2024-12-18T00:12:49.0966965Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-12-18T00:12:49.0967453Z >>> assert_equal(1e-9, 1e-10) 2024-12-18T00:12:49.0967784Z Traceback (most recent call last): 2024-12-18T00:12:49.0968101Z ... 2024-12-18T00:12:49.0968349Z AssertionError: Scalars are not equal! 2024-12-18T00:12:49.0968682Z 2024-12-18T00:12:49.0968944Z Expected 1e-10 but got 1e-09. 2024-12-18T00:12:49.0969287Z Absolute difference: 9.000000000000001e-10 2024-12-18T00:12:49.0969639Z Relative difference: 9.0 2024-12-18T00:12:49.0969839Z 2024-12-18T00:12:49.0969929Z Examples: 2024-12-18T00:12:49.0970181Z >>> # tensor to tensor comparison 2024-12-18T00:12:49.0970544Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-12-18T00:12:49.0970927Z >>> actual = torch.acos(torch.cos(expected)) 2024-12-18T00:12:49.0971328Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0971586Z 2024-12-18T00:12:49.0971701Z >>> # scalar to scalar comparison 2024-12-18T00:12:49.0972023Z >>> import math 2024-12-18T00:12:49.0972285Z >>> expected = math.sqrt(2.0) 2024-12-18T00:12:49.0972607Z >>> actual = 2.0 / math.sqrt(2.0) 2024-12-18T00:12:49.0972975Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0973228Z 2024-12-18T00:12:49.0973356Z >>> # numpy array to numpy array comparison 2024-12-18T00:12:49.0973703Z >>> import numpy as np 2024-12-18T00:12:49.0974017Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-12-18T00:12:49.0974378Z >>> actual = np.arccos(np.cos(expected)) 2024-12-18T00:12:49.0974767Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0975020Z 2024-12-18T00:12:49.0975157Z >>> # sequence to sequence comparison 2024-12-18T00:12:49.0975480Z >>> import numpy as np 2024-12-18T00:12:49.0975926Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-12-18T00:12:49.0976439Z >>> # length and their elements have to match. 2024-12-18T00:12:49.0976843Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-12-18T00:12:49.0977223Z >>> actual = tuple(expected) 2024-12-18T00:12:49.0977568Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0977831Z 2024-12-18T00:12:49.0977951Z >>> # mapping to mapping comparison 2024-12-18T00:12:49.0978311Z >>> from collections import OrderedDict 2024-12-18T00:12:49.0978701Z >>> import numpy as np 2024-12-18T00:12:49.0979002Z >>> foo = torch.tensor(1.0) 2024-12-18T00:12:49.0979290Z >>> bar = 2.0 2024-12-18T00:12:49.0979551Z >>> baz = np.array(3.0) 2024-12-18T00:12:49.0979999Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-12-18T00:12:49.0980577Z >>> # have to have the same set of keys and their elements have to match. 2024-12-18T00:12:49.0981178Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-12-18T00:12:49.0981643Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-12-18T00:12:49.0982030Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0982299Z 2024-12-18T00:12:49.0982428Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-12-18T00:12:49.0982782Z >>> actual = expected.clone() 2024-12-18T00:12:49.0983172Z >>> # By default, directly related instances can be compared 2024-12-18T00:12:49.0983681Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-12-18T00:12:49.0984200Z >>> # This check can be made more strict with allow_subclasses=False 2024-12-18T00:12:49.0984668Z >>> torch.testing.assert_close( 2024-12-18T00:12:49.0985094Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-12-18T00:12:49.0985507Z ... ) 2024-12-18T00:12:49.0985763Z Traceback (most recent call last): 2024-12-18T00:12:49.0986084Z ... 2024-12-18T00:12:49.0986410Z TypeError: No comparison pair was able to handle inputs of type 2024-12-18T00:12:49.0986964Z and . 2024-12-18T00:12:49.0987533Z >>> # If the inputs are not directly related, they are never considered close 2024-12-18T00:12:49.0988056Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-12-18T00:12:49.0988465Z Traceback (most recent call last): 2024-12-18T00:12:49.0988770Z ... 2024-12-18T00:12:49.0989190Z TypeError: No comparison pair was able to handle inputs of type 2024-12-18T00:12:49.0989705Z and . 2024-12-18T00:12:49.0990182Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-12-18T00:12:49.0990688Z >>> # their type if check_dtype=False. 2024-12-18T00:12:49.0991086Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-12-18T00:12:49.0991375Z 2024-12-18T00:12:49.0991482Z >>> # NaN != NaN by default. 2024-12-18T00:12:49.0991814Z >>> expected = torch.tensor(float("Nan")) 2024-12-18T00:12:49.0992167Z >>> actual = expected.clone() 2024-12-18T00:12:49.0992527Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:49.0992904Z Traceback (most recent call last): 2024-12-18T00:12:49.0993210Z ... 2024-12-18T00:12:49.0993462Z AssertionError: Scalars are not close! 2024-12-18T00:12:49.0993793Z 2024-12-18T00:12:49.0994048Z Expected nan but got nan. 2024-12-18T00:12:49.0994393Z Absolute difference: nan (up to 1e-05 allowed) 2024-12-18T00:12:49.0994782Z Relative difference: nan (up to 1.3e-06 allowed) 2024-12-18T00:12:49.0995240Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-12-18T00:12:49.0995564Z 2024-12-18T00:12:49.0995694Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-12-18T00:12:49.0996041Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-12-18T00:12:49.0996419Z >>> # The default error message can be overwritten. 2024-12-18T00:12:49.0996971Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-12-18T00:12:49.0997487Z Traceback (most recent call last): 2024-12-18T00:12:49.0997808Z ... 2024-12-18T00:12:49.0998091Z AssertionError: Argh, the tensors are not close! 2024-12-18T00:12:49.0998576Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-12-18T00:12:49.0999060Z >>> # extra information 2024-12-18T00:12:49.0999356Z >>> torch.testing.assert_close( 2024-12-18T00:12:49.0999784Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-12-18T00:12:49.1000191Z ... ) 2024-12-18T00:12:49.1000442Z Traceback (most recent call last): 2024-12-18T00:12:49.1000791Z ... 2024-12-18T00:12:49.1001045Z AssertionError: Header 2024-12-18T00:12:49.1001332Z 2024-12-18T00:12:49.1001687Z Tensor-likes are not close! 2024-12-18T00:12:49.1001995Z 2024-12-18T00:12:49.1002264Z Mismatched elements: 2 / 3 (66.7%) 2024-12-18T00:12:49.1002710Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-12-18T00:12:49.1003292Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-12-18T00:12:49.1003732Z 2024-12-18T00:12:49.1003973Z Footer 2024-12-18T00:12:49.1004194Z 2024-12-18T00:12:49.1004552Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:49.1004966Z 2024-12-18T00:12:50.2028048Z 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=110. 2024-12-18T00:12:50.2029026Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2029565Z Register a container-like type as pytree node. 2024-12-18T00:12:50.2029820Z 2024-12-18T00:12:50.2029911Z Args: 2024-12-18T00:12:50.2030229Z cls (type): A Python type to treat as an internal pytree node. 2024-12-18T00:12:50.2030810Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-12-18T00:12:50.2031461Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-12-18T00:12:50.2032132Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-12-18T00:12:50.2032655Z passed to the ``unflatten_fn``. 2024-12-18T00:12:50.2033170Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-12-18T00:12:50.2033826Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-12-18T00:12:50.2034373Z The function should return an instance of ``cls``. 2024-12-18T00:12:50.2034913Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-12-18T00:12:50.2035466Z qualified name used when serializing the tree spec. 2024-12-18T00:12:50.2036044Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-12-18T00:12:50.2036755Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-12-18T00:12:50.2037419Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-12-18T00:12:50.2038112Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-12-18T00:12:50.2038796Z how to convert the custom json dumpable representation of the context back to the 2024-12-18T00:12:50.2039431Z original context. This is used for json deserialization, which is being used in 2024-12-18T00:12:50.2039933Z :mod:`torch.export` right now. 2024-12-18T00:12:50.2040156Z 2024-12-18T00:12:50.2040268Z Example:: 2024-12-18T00:12:50.2040415Z 2024-12-18T00:12:50.2040520Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.2040854Z >>> # Registry a Python type with lambda functions 2024-12-18T00:12:50.2041222Z >>> register_pytree_node( 2024-12-18T00:12:50.2041584Z ... set, 2024-12-18T00:12:50.2041852Z ... lambda s: (sorted(s), None, None), 2024-12-18T00:12:50.2042218Z ... lambda children, _: set(children), 2024-12-18T00:12:50.2042778Z ... ) 2024-12-18T00:12:50.2043003Z 2024-12-18T00:12:50.2043375Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2043738Z 2024-12-18T00:12:50.2538856Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1201. 2024-12-18T00:12:50.2540112Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2540504Z 2024-12-18T00:12:50.2540719Z Context passed to policy function during selective checkpointing. 2024-12-18T00:12:50.2541055Z 2024-12-18T00:12:50.2541280Z This class is used to pass relevant metadata to the policy function during 2024-12-18T00:12:50.2541891Z selective checkpointing. The metadata includes whether the current invocation 2024-12-18T00:12:50.2542435Z of the policy function is during recomputation or not. 2024-12-18T00:12:50.2542710Z 2024-12-18T00:12:50.2542811Z Example: 2024-12-18T00:12:50.2543031Z >>> # xdoctest: +SKIP(stub) 2024-12-18T00:12:50.2543312Z >>> 2024-12-18T00:12:50.2543614Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-12-18T00:12:50.2543972Z >>> print(ctx.is_recompute) 2024-12-18T00:12:50.2544389Z >>> 2024-12-18T00:12:50.2544768Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-12-18T00:12:50.2545352Z >>> 2024-12-18T00:12:50.2545623Z >>> out = torch.utils.checkpoint.checkpoint( 2024-12-18T00:12:50.2545970Z >>> fn, x, y, 2024-12-18T00:12:50.2546235Z >>> use_reentrant=False, 2024-12-18T00:12:50.2546522Z >>> context_fn=context_fn, 2024-12-18T00:12:50.2546812Z >>> ) 2024-12-18T00:12:50.2546945Z 2024-12-18T00:12:50.2547196Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2547573Z 2024-12-18T00:12:50.2548208Z 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. 2024-12-18T00:12:50.2549197Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2549572Z 2024-12-18T00:12:50.2549819Z Helper to avoid recomputing certain ops during activation checkpointing. 2024-12-18T00:12:50.2550164Z 2024-12-18T00:12:50.2550391Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2024-12-18T00:12:50.2550890Z operations are recomputed during the backward pass. 2024-12-18T00:12:50.2551160Z 2024-12-18T00:12:50.2551244Z Args: 2024-12-18T00:12:50.2551486Z policy_fn_or_list (Callable or List): 2024-12-18T00:12:50.2551886Z - If a policy function is provided, it should accept a 2024-12-18T00:12:50.2552408Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2024-12-18T00:12:50.2552974Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2024-12-18T00:12:50.2553527Z indicating whether the execution of the op should be recomputed or not. 2024-12-18T00:12:50.2554082Z - If a list of operations is provided, it is equivalent to a policy 2024-12-18T00:12:50.2554589Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2024-12-18T00:12:50.2555109Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2024-12-18T00:12:50.2555537Z operations. 2024-12-18T00:12:50.2555912Z allow_cache_entry_mutation (bool, optional): By default, an error is 2024-12-18T00:12:50.2556447Z raised if any tensors cached by selective activation checkpoint are 2024-12-18T00:12:50.2556986Z mutated in order to ensure correctness. If set to `True`, this check 2024-12-18T00:12:50.2557407Z is disabled. 2024-12-18T00:12:50.2557650Z Returns: 2024-12-18T00:12:50.2557886Z A tuple of two context managers. 2024-12-18T00:12:50.2558279Z 2024-12-18T00:12:50.2558368Z Example: 2024-12-18T00:12:50.2558601Z >>> # xdoctest: +REQUIRES(LINUX) 2024-12-18T00:12:50.2559003Z >>> import functools 2024-12-18T00:12:50.2559261Z >>> 2024-12-18T00:12:50.2559509Z >>> x = torch.rand(10, 10, requires_grad=True) 2024-12-18T00:12:50.2559864Z >>> y = torch.rand(10, 10, requires_grad=True) 2024-12-18T00:12:50.2560192Z >>> 2024-12-18T00:12:50.2560416Z >>> ops_to_save = [ 2024-12-18T00:12:50.2560697Z >>> torch.ops.aten.mm.default, 2024-12-18T00:12:50.2561002Z >>> ] 2024-12-18T00:12:50.2561290Z >>> 2024-12-18T00:12:50.2561614Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-12-18T00:12:50.2561956Z >>> if op in ops_to_save: 2024-12-18T00:12:50.2562287Z >>> return CheckpointPolicy.MUST_SAVE 2024-12-18T00:12:50.2562604Z >>> else: 2024-12-18T00:12:50.2562897Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2024-12-18T00:12:50.2563240Z >>> 2024-12-18T00:12:50.2563631Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-12-18T00:12:50.2564104Z >>> 2024-12-18T00:12:50.2564314Z >>> # or equivalently 2024-12-18T00:12:50.2564761Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2024-12-18T00:12:50.2565290Z >>> 2024-12-18T00:12:50.2565507Z >>> def fn(x, y): 2024-12-18T00:12:50.2565869Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-12-18T00:12:50.2566276Z >>> 2024-12-18T00:12:50.2566535Z >>> out = torch.utils.checkpoint.checkpoint( 2024-12-18T00:12:50.2566889Z >>> fn, x, y, 2024-12-18T00:12:50.2567160Z >>> use_reentrant=False, 2024-12-18T00:12:50.2567465Z >>> context_fn=context_fn, 2024-12-18T00:12:50.2567747Z >>> ) 2024-12-18T00:12:50.2567879Z 2024-12-18T00:12:50.2568130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2568507Z 2024-12-18T00:12:50.2754276Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=957. 2024-12-18T00:12:50.2755204Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2755592Z 2024-12-18T00:12:50.2755744Z Create a :class:`setuptools.Extension` for C++. 2024-12-18T00:12:50.2756009Z 2024-12-18T00:12:50.2756250Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-12-18T00:12:50.2756835Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-12-18T00:12:50.2757180Z 2024-12-18T00:12:50.2757404Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-12-18T00:12:50.2757867Z constructor. Full list arguments can be found at 2024-12-18T00:12:50.2758606Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-12-18T00:12:50.2759059Z 2024-12-18T00:12:50.2759171Z .. note:: 2024-12-18T00:12:50.2759531Z The PyTorch python API (as provided in libtorch_python) cannot be built 2024-12-18T00:12:50.2760158Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2024-12-18T00:12:50.2760794Z the user's responsibility in their library to not use APIs from 2024-12-18T00:12:50.2761365Z libtorch_python (in particular pytorch/python bindings) and to only use 2024-12-18T00:12:50.2762448Z APIs from libtorch (aten objects, operators and the dispatcher). For 2024-12-18T00:12:50.2763062Z example, to give access to custom ops from python, the library should 2024-12-18T00:12:50.2763529Z register the ops through the dispatcher. 2024-12-18T00:12:50.2763763Z 2024-12-18T00:12:50.2763865Z Example: 2024-12-18T00:12:50.2764087Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.2764399Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:50.2764772Z >>> from setuptools import setup 2024-12-18T00:12:50.2765207Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-12-18T00:12:50.2765631Z >>> setup( 2024-12-18T00:12:50.2765873Z ... name='extension', 2024-12-18T00:12:50.2766262Z ... ext_modules=[ 2024-12-18T00:12:50.2766538Z ... CppExtension( 2024-12-18T00:12:50.2766829Z ... name='extension', 2024-12-18T00:12:50.2767161Z ... sources=['extension.cpp'], 2024-12-18T00:12:50.2767520Z ... extra_compile_args=['-g'], 2024-12-18T00:12:50.2767896Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2024-12-18T00:12:50.2768253Z ... ], 2024-12-18T00:12:50.2768571Z ... cmdclass={ 2024-12-18T00:12:50.2768849Z ... 'build_ext': BuildExtension 2024-12-18T00:12:50.2769180Z ... }) 2024-12-18T00:12:50.2769362Z 2024-12-18T00:12:50.2769700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2770080Z 2024-12-18T00:12:50.2770807Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1019. 2024-12-18T00:12:50.2771712Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2772106Z 2024-12-18T00:12:50.2772268Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-12-18T00:12:50.2772551Z 2024-12-18T00:12:50.2773354Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-12-18T00:12:50.2773926Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-12-18T00:12:50.2774475Z extension. This includes the CUDA include path, library path and runtime 2024-12-18T00:12:50.2774923Z library. 2024-12-18T00:12:50.2775045Z 2024-12-18T00:12:50.2775252Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-12-18T00:12:50.2775726Z constructor. Full list arguments can be found at 2024-12-18T00:12:50.2776309Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-12-18T00:12:50.2776752Z 2024-12-18T00:12:50.2776853Z .. note:: 2024-12-18T00:12:50.2777210Z The PyTorch python API (as provided in libtorch_python) cannot be built 2024-12-18T00:12:50.2777769Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2024-12-18T00:12:50.2778408Z the user's responsibility in their library to not use APIs from 2024-12-18T00:12:50.2779008Z libtorch_python (in particular pytorch/python bindings) and to only use 2024-12-18T00:12:50.2779578Z APIs from libtorch (aten objects, operators and the dispatcher). For 2024-12-18T00:12:50.2780126Z example, to give access to custom ops from python, the library should 2024-12-18T00:12:50.2780586Z register the ops through the dispatcher. 2024-12-18T00:12:50.2780820Z 2024-12-18T00:12:50.2780908Z Example: 2024-12-18T00:12:50.2781136Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.2781461Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:50.2781834Z >>> from setuptools import setup 2024-12-18T00:12:50.2782269Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-12-18T00:12:50.2782699Z >>> setup( 2024-12-18T00:12:50.2782932Z ... name='cuda_extension', 2024-12-18T00:12:50.2783231Z ... ext_modules=[ 2024-12-18T00:12:50.2783504Z ... CUDAExtension( 2024-12-18T00:12:50.2783813Z ... name='cuda_extension', 2024-12-18T00:12:50.2784194Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:50.2784613Z ... extra_compile_args={'cxx': ['-g'], 2024-12-18T00:12:50.2784983Z ... 'nvcc': ['-O2']}, 2024-12-18T00:12:50.2785379Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2024-12-18T00:12:50.2785744Z ... ], 2024-12-18T00:12:50.2785974Z ... cmdclass={ 2024-12-18T00:12:50.2786242Z ... 'build_ext': BuildExtension 2024-12-18T00:12:50.2786557Z ... }) 2024-12-18T00:12:50.2786705Z 2024-12-18T00:12:50.2786809Z Compute capabilities: 2024-12-18T00:12:50.2786972Z 2024-12-18T00:12:50.2787281Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-12-18T00:12:50.2788040Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-12-18T00:12:50.2788729Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-12-18T00:12:50.2789442Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2024-12-18T00:12:50.2790178Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-12-18T00:12:50.2790740Z support (see below for details on PTX). 2024-12-18T00:12:50.2790964Z 2024-12-18T00:12:50.2791285Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-12-18T00:12:50.2791829Z CCs you want the extension to support: 2024-12-18T00:12:50.2792048Z 2024-12-18T00:12:50.2792250Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-12-18T00:12:50.2792789Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-12-18T00:12:50.2793152Z 2024-12-18T00:12:50.2793469Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-12-18T00:12:50.2794276Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-12-18T00:12:50.2795009Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-12-18T00:12:50.2795729Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-12-18T00:12:50.2796458Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-12-18T00:12:50.2797158Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-12-18T00:12:50.2797871Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-12-18T00:12:50.2798624Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-12-18T00:12:50.2799161Z "8.0 8.6" would be better. 2024-12-18T00:12:50.2799333Z 2024-12-18T00:12:50.2799647Z Note that while it's possible to include all supported archs, the more archs get included the 2024-12-18T00:12:50.2800356Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-12-18T00:12:50.2800758Z 2024-12-18T00:12:50.2801101Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-12-18T00:12:50.2801861Z To workaround the issue, move python binding logic to pure C++ file. 2024-12-18T00:12:50.2802199Z 2024-12-18T00:12:50.2802291Z Example use: 2024-12-18T00:12:50.2802533Z #include 2024-12-18T00:12:50.2802873Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-12-18T00:12:50.2803129Z 2024-12-18T00:12:50.2803231Z Instead of: 2024-12-18T00:12:50.2803458Z #include 2024-12-18T00:12:50.2803815Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-12-18T00:12:50.2804092Z 2024-12-18T00:12:50.2804360Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-12-18T00:12:50.2805244Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-12-18T00:12:50.2805846Z 2024-12-18T00:12:50.2805967Z Relocatable device code linking: 2024-12-18T00:12:50.2806162Z 2024-12-18T00:12:50.2806455Z If you want to reference device symbols across compilation units (across object files), 2024-12-18T00:12:50.2807114Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-12-18T00:12:50.2807836Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-12-18T00:12:50.2808631Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-12-18T00:12:50.2809388Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-12-18T00:12:50.2810053Z helps reduce the protentional perf degradation of `-rdc`. 2024-12-18T00:12:50.2810520Z Note that it needs to be used at both steps to be useful. 2024-12-18T00:12:50.2810795Z 2024-12-18T00:12:50.2811169Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-12-18T00:12:50.2811842Z There is also a case where `-dlink` is used without `-rdc`: 2024-12-18T00:12:50.2812418Z when an extension is linked against a static lib containing rdc-compiled objects 2024-12-18T00:12:50.2813013Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-12-18T00:12:50.2813347Z 2024-12-18T00:12:50.2813554Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-12-18T00:12:50.2813868Z 2024-12-18T00:12:50.2813971Z Example: 2024-12-18T00:12:50.2814201Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.2814516Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:50.2814876Z >>> CUDAExtension( 2024-12-18T00:12:50.2815147Z ... name='cuda_extension', 2024-12-18T00:12:50.2815518Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:50.2815920Z ... dlink=True, 2024-12-18T00:12:50.2816203Z ... dlink_libraries=["dlink_lib"], 2024-12-18T00:12:50.2816559Z ... extra_compile_args={'cxx': ['-g'], 2024-12-18T00:12:50.2816927Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-12-18T00:12:50.2817165Z 2024-12-18T00:12:50.2817428Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2817789Z 2024-12-18T00:12:50.2818292Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1300. 2024-12-18T00:12:50.2819216Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2819603Z 2024-12-18T00:12:50.2819749Z Load a PyTorch C++ extension just-in-time (JIT). 2024-12-18T00:12:50.2820002Z 2024-12-18T00:12:50.2820224Z To load an extension, a Ninja build file is emitted, which is used to 2024-12-18T00:12:50.2820760Z compile the given sources into a dynamic library. This library is 2024-12-18T00:12:50.2821310Z subsequently loaded into the current Python process as a module and 2024-12-18T00:12:50.2821767Z returned from this function, ready for use. 2024-12-18T00:12:50.2822015Z 2024-12-18T00:12:50.2822227Z By default, the directory to which the build file is emitted and the 2024-12-18T00:12:50.2822785Z resulting library compiled to is ``/torch_extensions/``, where 2024-12-18T00:12:50.2823341Z ```` is the temporary folder on the current platform and ```` 2024-12-18T00:12:50.2823875Z the name of the extension. This location can be overridden in two ways. 2024-12-18T00:12:50.2824403Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-12-18T00:12:50.2824945Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-12-18T00:12:50.2825503Z into subfolders of this directory. Second, if the ``build_directory`` 2024-12-18T00:12:50.2826073Z argument to this function is supplied, it overrides the entire path, i.e. 2024-12-18T00:12:50.2826586Z the library will be compiled into that folder directly. 2024-12-18T00:12:50.2826854Z 2024-12-18T00:12:50.2827081Z To compile the sources, the default system compiler (``c++``) is used, 2024-12-18T00:12:50.2827636Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-12-18T00:12:50.2828218Z additional arguments to the compilation process, ``extra_cflags`` or 2024-12-18T00:12:50.2828778Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-12-18T00:12:50.2829326Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-12-18T00:12:50.2829811Z ``extra_cflags`` to pass further include directories. 2024-12-18T00:12:50.2830071Z 2024-12-18T00:12:50.2830318Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-12-18T00:12:50.2830885Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-12-18T00:12:50.2831431Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-12-18T00:12:50.2832003Z passing the CUDA lib64 directory as a library directory, and linking 2024-12-18T00:12:50.2832485Z ``cudart``. You can pass additional flags to nvcc via 2024-12-18T00:12:50.2833018Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-12-18T00:12:50.2833573Z heuristics for finding the CUDA install directory are used, which usually 2024-12-18T00:12:50.2834124Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-12-18T00:12:50.2834545Z safest option. 2024-12-18T00:12:50.2834695Z 2024-12-18T00:12:50.2834781Z Args: 2024-12-18T00:12:50.2835119Z name: The name of the extension to build. This MUST be the same as the 2024-12-18T00:12:50.2835559Z name of the pybind11 module! 2024-12-18T00:12:50.2835968Z sources: A list of relative or absolute paths to C++ source files. 2024-12-18T00:12:50.2836513Z extra_cflags: optional list of compiler flags to forward to the build. 2024-12-18T00:12:50.2837106Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-12-18T00:12:50.2837560Z when building CUDA sources. 2024-12-18T00:12:50.2837996Z extra_ldflags: optional list of linker flags to forward to the build. 2024-12-18T00:12:50.2838554Z extra_include_paths: optional list of include directories to forward 2024-12-18T00:12:50.2838970Z to the build. 2024-12-18T00:12:50.2839313Z build_directory: optional path to use as build workspace. 2024-12-18T00:12:50.2839790Z verbose: If ``True``, turns on verbose logging of load steps. 2024-12-18T00:12:50.2840304Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-12-18T00:12:50.2840805Z the build. If set to ``None`` (default), this value is 2024-12-18T00:12:50.2841276Z automatically determined based on the existence of ``.cu`` or 2024-12-18T00:12:50.2841852Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-12-18T00:12:50.2842264Z and libraries to be included. 2024-12-18T00:12:50.2842686Z is_python_module: If ``True`` (default), imports the produced shared 2024-12-18T00:12:50.2843200Z library as a Python module. If ``False``, behavior depends on 2024-12-18T00:12:50.2843614Z ``is_standalone``. 2024-12-18T00:12:50.2843989Z is_standalone: If ``False`` (default) loads the constructed extension 2024-12-18T00:12:50.2844516Z into the process as a plain dynamic library. If ``True``, build a 2024-12-18T00:12:50.2844939Z standalone executable. 2024-12-18T00:12:50.2845128Z 2024-12-18T00:12:50.2845235Z Returns: 2024-12-18T00:12:50.2845485Z If ``is_python_module`` is ``True``: 2024-12-18T00:12:50.2845876Z Returns the loaded PyTorch extension as a Python module. 2024-12-18T00:12:50.2846178Z 2024-12-18T00:12:50.2846382Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-12-18T00:12:50.2846920Z Returns nothing. (The shared library is loaded into the process as 2024-12-18T00:12:50.2847346Z a side effect.) 2024-12-18T00:12:50.2847503Z 2024-12-18T00:12:50.2847627Z If ``is_standalone`` is ``True``. 2024-12-18T00:12:50.2848043Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-12-18T00:12:50.2848535Z added to the PATH environment variable as a side effect.) 2024-12-18T00:12:50.2848834Z 2024-12-18T00:12:50.2848922Z Example: 2024-12-18T00:12:50.2849146Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.2849456Z >>> from torch.utils.cpp_extension import load 2024-12-18T00:12:50.2849809Z >>> module = load( 2024-12-18T00:12:50.2850055Z ... name='extension', 2024-12-18T00:12:50.2850402Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:50.2850779Z ... extra_cflags=['-O2'], 2024-12-18T00:12:50.2851122Z ... verbose=True) 2024-12-18T00:12:50.2851284Z 2024-12-18T00:12:50.2851551Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2851913Z 2024-12-18T00:12:50.2852447Z 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=1593. 2024-12-18T00:12:50.2853382Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.2853767Z 2024-12-18T00:12:50.2853974Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-12-18T00:12:50.2854306Z 2024-12-18T00:12:50.2854537Z This function behaves exactly like :func:`load`, but takes its sources as 2024-12-18T00:12:50.2855112Z strings rather than filenames. These strings are stored to files in the 2024-12-18T00:12:50.2855667Z build directory, after which the behavior of :func:`load_inline` is 2024-12-18T00:12:50.2856098Z identical to :func:`load`. 2024-12-18T00:12:50.2856279Z 2024-12-18T00:12:50.2856369Z See `the 2024-12-18T00:12:50.2856815Z tests `_ 2024-12-18T00:12:50.2857406Z for good examples of using this function. 2024-12-18T00:12:50.2857641Z 2024-12-18T00:12:50.2857883Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-12-18T00:12:50.2858635Z the necessary header includes, as well as the (pybind11) binding code. More 2024-12-18T00:12:50.2859240Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-12-18T00:12:50.2859775Z single ``.cpp`` file. This file is then prepended with ``#include 2024-12-18T00:12:50.2860185Z ``. 2024-12-18T00:12:50.2860362Z 2024-12-18T00:12:50.2860584Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-12-18T00:12:50.2861162Z automatically generated for each function specified. ``functions`` can 2024-12-18T00:12:50.2861735Z either be a list of function names, or a dictionary mapping from function 2024-12-18T00:12:50.2862291Z names to docstrings. If a list is given, the name of each function is used 2024-12-18T00:12:50.2862731Z as its docstring. 2024-12-18T00:12:50.2862888Z 2024-12-18T00:12:50.2863102Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-12-18T00:12:50.2863611Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-12-18T00:12:50.2864113Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-12-18T00:12:50.2864660Z separately, but ultimately linked into a single library. Note that no 2024-12-18T00:12:50.2865216Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-12-18T00:12:50.2865779Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-12-18T00:12:50.2866324Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-12-18T00:12:50.2866764Z include its name in ``functions``). 2024-12-18T00:12:50.2866972Z 2024-12-18T00:12:50.2867164Z See :func:`load` for a description of arguments omitted below. 2024-12-18T00:12:50.2867455Z 2024-12-18T00:12:50.2867554Z Args: 2024-12-18T00:12:50.2867883Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-12-18T00:12:50.2868436Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-12-18T00:12:50.2868985Z functions: A list of function names for which to generate function 2024-12-18T00:12:50.2869523Z bindings. If a dictionary is given, it should map function names to 2024-12-18T00:12:50.2870037Z docstrings (which are otherwise just the function names). 2024-12-18T00:12:50.2870559Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-12-18T00:12:50.2871046Z the build. If set to ``None`` (default), this value is 2024-12-18T00:12:50.2871525Z automatically determined based on whether ``cuda_sources`` is 2024-12-18T00:12:50.2871998Z provided. Set it to ``True`` to force CUDA headers 2024-12-18T00:12:50.2872465Z and libraries to be included. 2024-12-18T00:12:50.2872892Z with_pytorch_error_handling: Determines whether pytorch error and 2024-12-18T00:12:50.2873406Z warning macros are handled by pytorch instead of pybind. To do 2024-12-18T00:12:50.2873940Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-12-18T00:12:50.2874574Z function. This redirection might cause issues in obscure cases 2024-12-18T00:12:50.2875083Z of cpp. This flag should be set to ``False`` when this redirect 2024-12-18T00:12:50.2875479Z causes issues. 2024-12-18T00:12:50.2875637Z 2024-12-18T00:12:50.2875739Z Example: 2024-12-18T00:12:50.2876006Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:50.2876426Z >>> from torch.utils.cpp_extension import load_inline 2024-12-18T00:12:50.2876794Z >>> source = """ 2024-12-18T00:12:50.2877111Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-12-18T00:12:50.2877473Z return x.sin() + y.sin(); 2024-12-18T00:12:50.2877740Z } 2024-12-18T00:12:50.2877953Z """ 2024-12-18T00:12:50.2878257Z >>> module = load_inline(name='inline_extension', 2024-12-18T00:12:50.2878631Z ... cpp_sources=[source], 2024-12-18T00:12:50.2878988Z ... functions=['sin_add']) 2024-12-18T00:12:50.2879217Z 2024-12-18T00:12:50.2879309Z .. note:: 2024-12-18T00:12:50.2879678Z Since load_inline will just-in-time compile the source code, please ensure 2024-12-18T00:12:50.2880262Z that you have the right toolchains installed in the runtime. For example, 2024-12-18T00:12:50.2880827Z when loading C++, make sure a C++ compiler is available. If you're loading 2024-12-18T00:12:50.2881481Z a CUDA extension, you will need to additionally install the corresponding CUDA 2024-12-18T00:12:50.2882094Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2024-12-18T00:12:50.2882704Z are not included when you install torch and must be additionally installed. 2024-12-18T00:12:50.2883065Z 2024-12-18T00:12:50.2883320Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2024-12-18T00:12:50.2883915Z the extension. This may use up too many resources on some systems. One 2024-12-18T00:12:50.2884475Z can control the number of workers by setting the `MAX_JOBS` environment 2024-12-18T00:12:50.2884942Z variable to a non-negative number. 2024-12-18T00:12:50.2885157Z 2024-12-18T00:12:50.2885423Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.2885789Z 2024-12-18T00:12:50.4159745Z 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. 2024-12-18T00:12:50.4160760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.4161150Z 2024-12-18T00:12:50.4161515Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-12-18T00:12:50.4161920Z 2024-12-18T00:12:50.4162236Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-12-18T00:12:50.4162903Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-12-18T00:12:50.4163491Z server like load. It can emulate multiple calling threads to a single module 2024-12-18T00:12:50.4164098Z provided. In the future we plan to enhance this component to support inter and 2024-12-18T00:12:50.4164706Z intra-op parallelism as well as multiple models running in a single process. 2024-12-18T00:12:50.4165073Z 2024-12-18T00:12:50.4165324Z Please note that even though nn.Module is supported, it might incur an overhead 2024-12-18T00:12:50.4165919Z from the need to hold GIL every time we execute Python code or pass around 2024-12-18T00:12:50.4166502Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-12-18T00:12:50.4167270Z model for inference deployment it is better to switch to using it in this 2024-12-18T00:12:50.4167708Z benchmark. 2024-12-18T00:12:50.4167851Z 2024-12-18T00:12:50.4167946Z Example:: 2024-12-18T00:12:50.4168082Z 2024-12-18T00:12:50.4168203Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:50.4168577Z >>> from torch.utils import ThroughputBenchmark 2024-12-18T00:12:50.4168964Z >>> bench = ThroughputBenchmark(my_module) 2024-12-18T00:12:50.4169463Z >>> # Pre-populate benchmark's data set with the inputs 2024-12-18T00:12:50.4169848Z >>> for input in inputs: 2024-12-18T00:12:50.4170254Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-12-18T00:12:50.4170726Z ... bench.add_input(input[0], x2=input[1]) 2024-12-18T00:12:50.4171168Z >>> # Inputs supplied above are randomly used during the execution 2024-12-18T00:12:50.4171580Z >>> stats = bench.benchmark( 2024-12-18T00:12:50.4171890Z ... num_calling_threads=4, 2024-12-18T00:12:50.4172205Z ... num_warmup_iters = 100, 2024-12-18T00:12:50.4172508Z ... num_iters = 1000, 2024-12-18T00:12:50.4172781Z ... ) 2024-12-18T00:12:50.4173126Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-12-18T00:12:50.4173599Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-12-18T00:12:50.4173899Z 2024-12-18T00:12:50.4174152Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.4174523Z 2024-12-18T00:12:50.5101170Z 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. 2024-12-18T00:12:50.5102152Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:50.5102734Z Sampler that restricts data loading to a subset of the dataset. 2024-12-18T00:12:50.5103041Z 2024-12-18T00:12:50.5103187Z It is especially useful in conjunction with 2024-12-18T00:12:50.5103699Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-12-18T00:12:50.5104312Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-12-18T00:12:50.5104920Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-12-18T00:12:50.5105397Z original dataset that is exclusive to it. 2024-12-18T00:12:50.5105630Z 2024-12-18T00:12:50.5105760Z .. note:: 2024-12-18T00:12:50.5106131Z Dataset is assumed to be of constant size and that any instance of it always 2024-12-18T00:12:50.5106627Z returns the same elements in the same order. 2024-12-18T00:12:50.5106873Z 2024-12-18T00:12:50.5106961Z Args: 2024-12-18T00:12:50.5107214Z dataset: Dataset used for sampling. 2024-12-18T00:12:50.5107661Z num_replicas (int, optional): Number of processes participating in 2024-12-18T00:12:50.5108245Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-12-18T00:12:50.5108729Z current distributed group. 2024-12-18T00:12:50.5109177Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-12-18T00:12:50.5109745Z By default, :attr:`rank` is retrieved from the current distributed 2024-12-18T00:12:50.5110155Z group. 2024-12-18T00:12:50.5110525Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-12-18T00:12:50.5110964Z indices. 2024-12-18T00:12:50.5111296Z seed (int, optional): random seed used to shuffle the sampler if 2024-12-18T00:12:50.5111804Z :attr:`shuffle=True`. This number should be identical across all 2024-12-18T00:12:50.5112287Z processes in the distributed group. Default: ``0``. 2024-12-18T00:12:50.5112785Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-12-18T00:12:50.5113314Z tail of the data to make it evenly divisible across the number of 2024-12-18T00:12:50.5113968Z replicas. If ``False``, the sampler will add extra indices to make 2024-12-18T00:12:50.5114490Z the data evenly divisible across the replicas. Default: ``False``. 2024-12-18T00:12:50.5114827Z 2024-12-18T00:12:50.5114923Z .. warning:: 2024-12-18T00:12:50.5115265Z In distributed mode, calling the :meth:`set_epoch` method at 2024-12-18T00:12:50.5115870Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-12-18T00:12:50.5116553Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-12-18T00:12:50.5117061Z the same ordering will be always used. 2024-12-18T00:12:50.5117289Z 2024-12-18T00:12:50.5117383Z Example:: 2024-12-18T00:12:50.5117527Z 2024-12-18T00:12:50.5117628Z >>> # xdoctest: +SKIP 2024-12-18T00:12:50.5118035Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-12-18T00:12:50.5118551Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-12-18T00:12:50.5118965Z ... sampler=sampler) 2024-12-18T00:12:50.5119331Z >>> for epoch in range(start_epoch, n_epochs): 2024-12-18T00:12:50.5119719Z ... if is_distributed: 2024-12-18T00:12:50.5120039Z ... sampler.set_epoch(epoch) 2024-12-18T00:12:50.5120363Z ... train(loader) 2024-12-18T00:12:50.5120638Z 2024-12-18T00:12:50.5121015Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:50.5121379Z 2024-12-18T00:12:50.6952720Z gathering tests 2024-12-18T00:12:50.6965952Z running 705 test(s) 2024-12-18T00:12:50.6981252Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1045 <- wrt source file 2024-12-18T00:12:50.6988236Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::typename:0 2024-12-18T00:12:50.6989323Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1081 <- wrt source file 2024-12-18T00:12:50.6993014Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0 2024-12-18T00:12:50.6994136Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1150 <- wrt source file 2024-12-18T00:12:50.6995329Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0 2024-12-18T00:12:50.6996510Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1199 <- wrt source file 2024-12-18T00:12:50.6997725Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0 2024-12-18T00:12:50.6998895Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1236 <- wrt source file 2024-12-18T00:12:50.7000069Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0 2024-12-18T00:12:50.7001274Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1391 <- wrt source file 2024-12-18T00:12:50.7002631Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2024-12-18T00:12:50.7003787Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2488 <- wrt source file 2024-12-18T00:12:50.7004882Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::compile:0 2024-12-18T00:12:50.7006074Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2744 <- wrt source file 2024-12-18T00:12:50.7007510Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2024-12-18T00:12:50.7008812Z * 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 2024-12-18T00:12:50.7010239Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::Generator:0 2024-12-18T00:12:50.7011538Z * 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 2024-12-18T00:12:50.7012876Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_C.cpython-312-x86_64-linux-gnu.so::_LinAlgError:0 2024-12-18T00:12:50.7014073Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2024-12-18T00:12:50.7015239Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0 2024-12-18T00:12:50.7016318Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 137 <- wrt source file 2024-12-18T00:12:50.7017401Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0 2024-12-18T00:12:50.7018492Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 206 <- wrt source file 2024-12-18T00:12:50.7557812Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0 2024-12-18T00:12:50.7559157Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2024-12-18T00:12:50.7560457Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0 2024-12-18T00:12:50.7561718Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 650 <- wrt source file 2024-12-18T00:12:50.7566584Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0 2024-12-18T00:12:50.7567873Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 707 <- wrt source file 2024-12-18T00:12:50.7583820Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2024-12-18T00:12:50.7585084Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1336 <- wrt source file 2024-12-18T00:12:50.7702457Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0 2024-12-18T00:12:50.7705847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1381 <- wrt source file 2024-12-18T00:12:50.7710477Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0 2024-12-18T00:12:50.7711606Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1454 <- wrt source file 2024-12-18T00:12:50.7717504Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0 2024-12-18T00:12:50.7718651Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1484 <- wrt source file 2024-12-18T00:12:50.7722937Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2024-12-18T00:12:50.7724103Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2024-12-18T00:12:50.7742367Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0 2024-12-18T00:12:50.7743698Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 63 <- wrt source file 2024-12-18T00:12:50.7748782Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0 2024-12-18T00:12:50.7749966Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 91 <- wrt source file 2024-12-18T00:12:50.7751532Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0 2024-12-18T00:12:50.7752713Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0, line 178 <- wrt source file 2024-12-18T00:12:50.7763680Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::split:0 2024-12-18T00:12:50.7764760Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 292 <- wrt source file 2024-12-18T00:12:50.7816307Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::einsum:0 2024-12-18T00:12:50.7817483Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1019 <- wrt source file 2024-12-18T00:12:50.7827920Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0 2024-12-18T00:12:50.7829096Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1294 <- wrt source file 2024-12-18T00:12:50.7837944Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::tensordot:0 2024-12-18T00:12:50.7839096Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1378 <- wrt source file 2024-12-18T00:12:50.7845151Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0 2024-12-18T00:12:50.7846298Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1412 <- wrt source file 2024-12-18T00:12:50.7853437Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::block_diag:0 2024-12-18T00:12:50.7854544Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1463 <- wrt source file 2024-12-18T00:12:50.7866876Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::cdist:0 2024-12-18T00:12:50.7867961Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1504 <- wrt source file 2024-12-18T00:12:50.7882547Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0 2024-12-18T00:12:50.7883671Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1540 <- wrt source file 2024-12-18T00:12:50.7898372Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0 2024-12-18T00:12:50.7899495Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1578 <- wrt source file 2024-12-18T00:12:50.7918508Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0 2024-12-18T00:12:50.7919615Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1751 <- wrt source file 2024-12-18T00:12:50.7949783Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::norm:0 2024-12-18T00:12:50.7950960Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1918 <- wrt source file 2024-12-18T00:12:50.7975393Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::unravel_index:0 2024-12-18T00:12:50.7976549Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2018 <- wrt source file 2024-12-18T00:12:50.7977950Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0 2024-12-18T00:12:50.7979378Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2118 <- wrt source file 2024-12-18T00:12:50.7980509Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0 2024-12-18T00:12:50.7981558Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0, line 468 <- wrt source file 2024-12-18T00:12:50.7982744Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::list:0 2024-12-18T00:12:50.7983867Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0, line 528 <- wrt source file 2024-12-18T00:12:50.7984873Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::help:0 2024-12-18T00:12:50.7985897Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::_load_local:0, line 667 <- wrt source file 2024-12-18T00:12:50.7986969Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/hub.py::_load_local:0 2024-12-18T00:12:50.7988069Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 135 <- wrt source file 2024-12-18T00:12:50.7989229Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.define:0 2024-12-18T00:12:50.7990438Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 235 <- wrt source file 2024-12-18T00:12:50.7994475Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2024-12-18T00:12:50.7995670Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 290 <- wrt source file 2024-12-18T00:12:50.7998505Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::Library.impl:0 2024-12-18T00:12:50.7999596Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::define:0, line 483 <- wrt source file 2024-12-18T00:12:50.8009704Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::define:0 2024-12-18T00:12:50.8010754Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0, line 550 <- wrt source file 2024-12-18T00:12:50.8018743Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::impl:0 2024-12-18T00:12:50.8020037Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 674 <- wrt source file 2024-12-18T00:12:50.8021290Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_kernel:0 2024-12-18T00:12:50.8022471Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 995 <- wrt source file 2024-12-18T00:12:50.8118537Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0 2024-12-18T00:12:50.8119813Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1084 <- wrt source file 2024-12-18T00:12:50.8260396Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py::register_vmap:0 2024-12-18T00:12:50.8261578Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 111 <- wrt source file 2024-12-18T00:12:50.8266347Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0 2024-12-18T00:12:50.8267656Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 417 <- wrt source file 2024-12-18T00:12:50.8300296Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0 2024-12-18T00:12:50.8301516Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1570 <- wrt source file 2024-12-18T00:12:50.8303588Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0 2024-12-18T00:12:50.8304788Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1705 <- wrt source file 2024-12-18T00:12:50.8306328Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0 2024-12-18T00:12:50.8307582Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1953 <- wrt source file 2024-12-18T00:12:50.8333107Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2024-12-18T00:12:50.8334339Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1972 <- wrt source file 2024-12-18T00:12:50.8339683Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0 2024-12-18T00:12:50.8341089Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2024-12-18T00:12:50.8342410Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0 2024-12-18T00:12:50.8343695Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 289 <- wrt source file 2024-12-18T00:12:50.8344916Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0 2024-12-18T00:12:50.8346099Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 314 <- wrt source file 2024-12-18T00:12:50.8347497Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0 2024-12-18T00:12:50.8348818Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 388 <- wrt source file 2024-12-18T00:12:50.8349984Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::skip_data:0 2024-12-18T00:12:50.8351399Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 460 <- wrt source file 2024-12-18T00:12:50.8352639Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::register_package:0 2024-12-18T00:12:50.8353834Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0, line 923 <- wrt source file 2024-12-18T00:12:50.8355013Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/serialization.py::save:0 2024-12-18T00:12:50.8356134Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 18 <- wrt source file 2024-12-18T00:12:50.8357317Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0 2024-12-18T00:12:50.8358706Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 245 <- wrt source file 2024-12-18T00:12:50.8360201Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2024-12-18T00:12:50.8361514Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 277 <- wrt source file 2024-12-18T00:12:50.8362743Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0 2024-12-18T00:12:50.8364157Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1778 <- wrt source file 2024-12-18T00:12:50.8365665Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2024-12-18T00:12:50.8367011Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 45 <- wrt source file 2024-12-18T00:12:50.8369042Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2024-12-18T00:12:50.8370388Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 105 <- wrt source file 2024-12-18T00:12:50.8371630Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2024-12-18T00:12:50.8372857Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 159 <- wrt source file 2024-12-18T00:12:50.8823566Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2024-12-18T00:12:50.8824800Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 345 <- wrt source file 2024-12-18T00:12:50.8826037Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2024-12-18T00:12:50.8827349Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 376 <- wrt source file 2024-12-18T00:12:50.8828574Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0 2024-12-18T00:12:50.8829930Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 397 <- wrt source file 2024-12-18T00:12:50.8831499Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2024-12-18T00:12:50.8833031Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 409 <- wrt source file 2024-12-18T00:12:50.8834258Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::save:0 2024-12-18T00:12:50.8835500Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 493 <- wrt source file 2024-12-18T00:12:50.8836923Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::load:0 2024-12-18T00:12:50.8838129Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 591 <- wrt source file 2024-12-18T00:12:50.8839388Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0 2024-12-18T00:12:50.8840636Z * 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 2024-12-18T00:12:50.8842164Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2024-12-18T00:12:50.8843452Z * 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 2024-12-18T00:12:50.8844742Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0 2024-12-18T00:12:50.8845951Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 289 <- wrt source file 2024-12-18T00:12:50.8847155Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2024-12-18T00:12:50.8878530Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 218 <- wrt source file 2024-12-18T00:12:50.8880681Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0 2024-12-18T00:12:50.8882782Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 280 <- wrt source file 2024-12-18T00:12:50.8928836Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0 2024-12-18T00:12:50.8930979Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 364 <- wrt source file 2024-12-18T00:12:50.8949119Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2024-12-18T00:12:50.8951353Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 428 <- wrt source file 2024-12-18T00:12:50.8966231Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0 2024-12-18T00:12:50.8968620Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2024-12-18T00:12:50.8988132Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2024-12-18T00:12:50.8999593Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2024-12-18T00:12:50.9043857Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2024-12-18T00:12:50.9046135Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 254 <- wrt source file 2024-12-18T00:12:50.9048616Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2024-12-18T00:12:50.9051062Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 287 <- wrt source file 2024-12-18T00:12:50.9053647Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2024-12-18T00:12:50.9056007Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 896 <- wrt source file 2024-12-18T00:12:50.9354431Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2024-12-18T00:12:50.9356630Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0, line 324 <- wrt source file 2024-12-18T00:12:50.9358765Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/apis.py::grad:0 2024-12-18T00:12:50.9361036Z * 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 2024-12-18T00:12:50.9363645Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2024-12-18T00:12:50.9365958Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 232 <- wrt source file 2024-12-18T00:12:50.9392801Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2024-12-18T00:12:50.9395019Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 474 <- wrt source file 2024-12-18T00:12:50.9448749Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2024-12-18T00:12:50.9450977Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2024-12-18T00:12:51.0311436Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2024-12-18T00:12:51.0313715Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2024-12-18T00:12:51.0369301Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2024-12-18T00:12:51.0371874Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2024-12-18T00:12:51.0386306Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2024-12-18T00:12:51.0388714Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2024-12-18T00:12:51.0391239Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2024-12-18T00:12:51.0393560Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2024-12-18T00:12:51.0550129Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2024-12-18T00:12:51.0552567Z * 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 2024-12-18T00:12:51.0555005Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0 2024-12-18T00:12:51.0557275Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2024-12-18T00:12:51.0559635Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2024-12-18T00:12:51.0562261Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0, line 112 <- wrt source file 2024-12-18T00:12:51.0565174Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py::CompilerWrapper.post_compile:0 2024-12-18T00:12:51.0567855Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 120 <- wrt source file 2024-12-18T00:12:51.0570421Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2024-12-18T00:12:51.0573008Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 259 <- wrt source file 2024-12-18T00:12:51.0575701Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2024-12-18T00:12:51.0578028Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 112 <- wrt source file 2024-12-18T00:12:51.0580155Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0 2024-12-18T00:12:51.0582229Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 96 <- wrt source file 2024-12-18T00:12:51.0584342Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0 2024-12-18T00:12:51.0586514Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0, line 86 <- wrt source file 2024-12-18T00:12:51.0588844Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_higher_order_ops/while_loop.py::while_loop:0 2024-12-18T00:12:51.0591313Z * 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 1348 <- wrt source file 2024-12-18T00:12:51.0594082Z * 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 2024-12-18T00:12:51.0596437Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 71 <- wrt source file 2024-12-18T00:12:51.0855535Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0 2024-12-18T00:12:51.0858059Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 200 <- wrt source file 2024-12-18T00:12:51.0928190Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2024-12-18T00:12:51.0930682Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 269 <- wrt source file 2024-12-18T00:12:51.0933268Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2024-12-18T00:12:51.0935701Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0, line 375 <- wrt source file 2024-12-18T00:12:51.0997635Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_fake:0 2024-12-18T00:12:51.1000086Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 502 <- wrt source file 2024-12-18T00:12:51.1137506Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2024-12-18T00:12:51.1138881Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 674 <- wrt source file 2024-12-18T00:12:51.1275982Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2024-12-18T00:12:51.1277903Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 197 <- wrt source file 2024-12-18T00:12:51.1279371Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2024-12-18T00:12:51.1280725Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 161 <- wrt source file 2024-12-18T00:12:51.1337198Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2024-12-18T00:12:51.1338520Z * 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 2024-12-18T00:12:51.1342570Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0 2024-12-18T00:12:51.1343783Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 425 <- wrt source file 2024-12-18T00:12:51.1344990Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0 2024-12-18T00:12:51.1346195Z * 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 2024-12-18T00:12:51.1382345Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2024-12-18T00:12:51.1383782Z * 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 2024-12-18T00:12:51.1385087Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2024-12-18T00:12:51.1386432Z * 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 2024-12-18T00:12:51.1430412Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2024-12-18T00:12:51.1431716Z * 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 2024-12-18T00:12:51.1433052Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2024-12-18T00:12:51.1434420Z * 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 2024-12-18T00:12:51.1448794Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2024-12-18T00:12:51.1450146Z * 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 2024-12-18T00:12:51.1452641Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2024-12-18T00:12:51.1454000Z * 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 2024-12-18T00:12:51.1456733Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2024-12-18T00:12:51.1458109Z * 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 2024-12-18T00:12:51.1459354Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2024-12-18T00:12:51.1460580Z * 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 2024-12-18T00:12:51.1462927Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2024-12-18T00:12:51.1464139Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 85 <- wrt source file 2024-12-18T00:12:51.1465360Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0 2024-12-18T00:12:51.1466541Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 60 <- wrt source file 2024-12-18T00:12:51.1467730Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2024-12-18T00:12:51.1469049Z * 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 2024-12-18T00:12:51.1470539Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2024-12-18T00:12:51.1472091Z * 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 2024-12-18T00:12:51.1473846Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2024-12-18T00:12:51.1475416Z * 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 2024-12-18T00:12:51.1477033Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2024-12-18T00:12:51.1478619Z * 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 2024-12-18T00:12:51.1480316Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2024-12-18T00:12:51.1481931Z * 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 2024-12-18T00:12:51.1483559Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2024-12-18T00:12:51.1484959Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2024-12-18T00:12:51.1489854Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2024-12-18T00:12:51.1491231Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 410 <- wrt source file 2024-12-18T00:12:51.1520518Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2024-12-18T00:12:51.1522725Z * 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 2024-12-18T00:12:51.1524023Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2024-12-18T00:12:51.1525277Z * 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 2024-12-18T00:12:51.1526569Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2024-12-18T00:12:51.1527826Z * 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 2024-12-18T00:12:51.1529107Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2024-12-18T00:12:51.1530380Z * 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 2024-12-18T00:12:51.1531740Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2024-12-18T00:12:51.1533079Z * 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 2024-12-18T00:12:51.1534480Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2024-12-18T00:12:51.1535843Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2024-12-18T00:12:51.1537241Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2024-12-18T00:12:51.1538690Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2024-12-18T00:12:51.1540103Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2024-12-18T00:12:51.1541542Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 208 <- wrt source file 2024-12-18T00:12:51.1542943Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2024-12-18T00:12:51.1544363Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 294 <- wrt source file 2024-12-18T00:12:51.1545859Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2024-12-18T00:12:51.1547366Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 376 <- wrt source file 2024-12-18T00:12:51.1548869Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2024-12-18T00:12:51.1550343Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 458 <- wrt source file 2024-12-18T00:12:51.1551843Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2024-12-18T00:12:51.1553277Z * 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 2024-12-18T00:12:51.1554711Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2024-12-18T00:12:51.1556682Z * 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 2024-12-18T00:12:51.1559363Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2024-12-18T00:12:51.1561817Z * 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 2024-12-18T00:12:51.1564263Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2024-12-18T00:12:51.1566708Z * 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 2024-12-18T00:12:51.1569240Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2024-12-18T00:12:51.1571718Z * 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 2024-12-18T00:12:51.1574274Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2024-12-18T00:12:51.1576970Z * 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 2024-12-18T00:12:51.1579885Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2024-12-18T00:12:51.1582806Z * 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 2024-12-18T00:12:51.1585628Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2024-12-18T00:12:51.1588386Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2024-12-18T00:12:51.1591138Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2024-12-18T00:12:51.1593739Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 634 <- wrt source file 2024-12-18T00:12:51.1596072Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2024-12-18T00:12:51.1598460Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 890 <- wrt source file 2024-12-18T00:12:51.1601072Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2024-12-18T00:12:51.1603658Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1012 <- wrt source file 2024-12-18T00:12:51.1606196Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2024-12-18T00:12:51.1608692Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1138 <- wrt source file 2024-12-18T00:12:51.1611236Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2024-12-18T00:12:51.1613753Z * 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 2024-12-18T00:12:51.1616370Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2024-12-18T00:12:51.1618942Z * 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 2024-12-18T00:12:51.1621599Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2024-12-18T00:12:51.1624295Z * 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 2024-12-18T00:12:51.1627122Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2024-12-18T00:12:51.1629850Z * 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 2024-12-18T00:12:51.1632586Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2024-12-18T00:12:51.1635104Z * 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 2024-12-18T00:12:51.1637483Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2024-12-18T00:12:51.1640338Z * 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 2024-12-18T00:12:51.1643815Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py::ActivationSparsifier:0 2024-12-18T00:12:51.1647182Z * 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 2024-12-18T00:12:51.1651422Z * 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 2024-12-18T00:12:51.1654658Z * 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 2024-12-18T00:12:51.1657848Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2024-12-18T00:12:51.1660846Z * 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 2024-12-18T00:12:51.1663424Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2024-12-18T00:12:51.1665983Z * 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 2024-12-18T00:12:51.1668680Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2024-12-18T00:12:51.1671171Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2024-12-18T00:12:51.1673612Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2024-12-18T00:12:51.1676075Z * 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 2024-12-18T00:12:51.1678697Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2024-12-18T00:12:51.1681269Z * 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 2024-12-18T00:12:51.1684001Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2024-12-18T00:12:51.1686605Z * 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 2024-12-18T00:12:51.1689244Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2024-12-18T00:12:51.1691910Z * 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 2024-12-18T00:12:51.1694703Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2024-12-18T00:12:51.1697179Z * 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 2024-12-18T00:12:51.1699484Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0 2024-12-18T00:12:51.1701941Z * 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 2024-12-18T00:12:51.1704426Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2024-12-18T00:12:51.1706880Z * 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 2024-12-18T00:12:51.1709173Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2024-12-18T00:12:51.1711492Z * 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 2024-12-18T00:12:51.1713879Z * SKIPPED: 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2024-12-18T00:12:51.1744192Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2024-12-18T00:12:51.1746640Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 225 <- wrt source file 2024-12-18T00:12:51.1749103Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2024-12-18T00:12:51.1751465Z * 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 2024-12-18T00:12:51.1753843Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2024-12-18T00:12:51.1756178Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 517 <- wrt source file 2024-12-18T00:12:51.1758760Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2024-12-18T00:12:51.1761212Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 539 <- wrt source file 2024-12-18T00:12:51.1763789Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2024-12-18T00:12:51.1766176Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 553 <- wrt source file 2024-12-18T00:12:51.1768586Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2024-12-18T00:12:51.1770944Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 575 <- wrt source file 2024-12-18T00:12:51.1773375Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2024-12-18T00:12:51.1775690Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 702 <- wrt source file 2024-12-18T00:12:51.1778057Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2024-12-18T00:12:51.1780619Z * 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 2024-12-18T00:12:51.1783454Z * 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 2024-12-18T00:12:51.1786175Z * 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 2024-12-18T00:12:51.1788894Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2024-12-18T00:12:51.1791575Z * 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 188 <- wrt source file 2024-12-18T00:12:51.1794315Z * 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 2024-12-18T00:12:51.1797104Z * 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 459 <- wrt source file 2024-12-18T00:12:51.1799990Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2024-12-18T00:12:51.1802554Z * 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 2024-12-18T00:12:51.1804875Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2024-12-18T00:12:51.1807058Z * 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 2024-12-18T00:12:51.1809208Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0 2024-12-18T00:12:51.1811362Z * 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 2024-12-18T00:12:51.1813644Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2024-12-18T00:12:51.1815803Z * 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 2024-12-18T00:12:51.1818047Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0 2024-12-18T00:12:51.1820351Z * 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 2024-12-18T00:12:51.1822880Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2024-12-18T00:12:51.1825354Z * 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 2024-12-18T00:12:51.1827909Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2024-12-18T00:12:51.1830324Z * 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 2024-12-18T00:12:51.1832739Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2024-12-18T00:12:51.1835241Z * 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 2024-12-18T00:12:51.1837887Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2024-12-18T00:12:51.1840457Z * 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 2024-12-18T00:12:51.1843133Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2024-12-18T00:12:51.1845452Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 479 <- wrt source file 2024-12-18T00:12:51.1847599Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/function.py::Function:0 2024-12-18T00:12:51.1849682Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 294 <- wrt source file 2024-12-18T00:12:51.1851778Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0 2024-12-18T00:12:51.1853828Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0, line 396 <- wrt source file 2024-12-18T00:12:51.1856026Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0 2024-12-18T00:12:51.1858235Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 631 <- wrt source file 2024-12-18T00:12:51.1860441Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0 2024-12-18T00:12:51.1862575Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 885 <- wrt source file 2024-12-18T00:12:51.1864753Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0 2024-12-18T00:12:51.1866848Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 1001 <- wrt source file 2024-12-18T00:12:51.1869043Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0 2024-12-18T00:12:51.1871103Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0, line 1100 <- wrt source file 2024-12-18T00:12:51.1873292Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0 2024-12-18T00:12:51.1875328Z * 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 2024-12-18T00:12:51.1877482Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0 2024-12-18T00:12:51.1879574Z * 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 2024-12-18T00:12:51.1881920Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2024-12-18T00:12:51.1884123Z * 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 2024-12-18T00:12:51.1886413Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2024-12-18T00:12:51.1888642Z * 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 2024-12-18T00:12:51.1890896Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2024-12-18T00:12:51.1893008Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0, line 62 <- wrt source file 2024-12-18T00:12:51.1895087Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0 2024-12-18T00:12:51.1897209Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 119 <- wrt source file 2024-12-18T00:12:51.1899462Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0 2024-12-18T00:12:51.1901717Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 156 <- wrt source file 2024-12-18T00:12:51.1904052Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2024-12-18T00:12:51.1906299Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 280 <- wrt source file 2024-12-18T00:12:51.1908572Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2024-12-18T00:12:51.1910706Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 345 <- wrt source file 2024-12-18T00:12:51.1912812Z * SKIPPED: 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2024-12-18T00:12:51.1929485Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0, line 177 <- wrt source file 2024-12-18T00:12:51.1931613Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0 2024-12-18T00:12:51.1933752Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0, line 714 <- wrt source file 2024-12-18T00:12:51.1936055Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::record_function:0 2024-12-18T00:12:51.1938207Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0, line 848 <- wrt source file 2024-12-18T00:12:51.1940331Z * SKIPPED: 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2024-12-18T00:12:51.1955195Z * 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 2024-12-18T00:12:51.1957342Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2024-12-18T00:12:51.1959719Z * 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 2024-12-18T00:12:51.1962189Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2024-12-18T00:12:51.1964369Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2024-12-18T00:12:51.1966411Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0 2024-12-18T00:12:51.1968582Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 411 <- wrt source file 2024-12-18T00:12:51.1970879Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2024-12-18T00:12:51.1973259Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 890 <- wrt source file 2024-12-18T00:12:51.1975918Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2024-12-18T00:12:51.1978352Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 972 <- wrt source file 2024-12-18T00:12:51.1980809Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2024-12-18T00:12:51.1983309Z * DOCTEST : 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: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3740 <- wrt source file 2024-12-18T00:12:51.2032075Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2024-12-18T00:12:51.2034667Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 3865 <- wrt source file 2024-12-18T00:12:51.2037256Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0 2024-12-18T00:12:51.2039779Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 3967 <- wrt source file 2024-12-18T00:12:51.2042174Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0 2024-12-18T00:12:51.2044473Z * DOCTEST : 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 48 <- wrt source file 2024-12-18T00:12:51.2091307Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0 2024-12-18T00:12:51.2093865Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0, line 46 <- wrt source file 2024-12-18T00:12:51.2096357Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0 2024-12-18T00:12:51.2098766Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 188 <- wrt source file 2024-12-18T00:12:51.2101258Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0 2024-12-18T00:12:51.2103960Z * 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 2024-12-18T00:12:51.2106923Z * 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 2024-12-18T00:12:51.2109754Z * 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 2024-12-18T00:12:51.2112570Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0 2024-12-18T00:12:51.2115311Z * 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 2024-12-18T00:12:51.2118122Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 237 <- wrt source file 2024-12-18T00:12:51.2346842Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0 2024-12-18T00:12:51.2349525Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 235 <- wrt source file 2024-12-18T00:12:51.2352160Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0 2024-12-18T00:12:51.2354760Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 49 <- wrt source file 2024-12-18T00:12:51.2357413Z * SKIPPED: 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file 2024-12-18T00:12:51.2388784Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2024-12-18T00:12:51.2390907Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 20 <- wrt source file 2024-12-18T00:12:51.2392984Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0 2024-12-18T00:12:51.2395111Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 28 <- wrt source file 2024-12-18T00:12:51.2397398Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0 2024-12-18T00:12:51.2399662Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 40 <- wrt source file 2024-12-18T00:12:51.2402102Z * SUCCESS: 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2024-12-18T00:12:51.3345276Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3059 <- wrt source file 2024-12-18T00:12:51.3359528Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0 2024-12-18T00:12:51.3361613Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3136 <- wrt source file 2024-12-18T00:12:51.3366633Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0 2024-12-18T00:12:51.3368957Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3466 <- wrt source file 2024-12-18T00:12:51.3375315Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0 2024-12-18T00:12:51.3377593Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3538 <- wrt source file 2024-12-18T00:12:51.3381729Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2024-12-18T00:12:51.3384091Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3615 <- wrt source file 2024-12-18T00:12:51.3387980Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2024-12-18T00:12:51.3390262Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5178 <- wrt source file 2024-12-18T00:12:51.3397410Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/functional.py::pad:0 2024-12-18T00:12:51.3399352Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2024-12-18T00:12:51.3405504Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0 2024-12-18T00:12:51.3407472Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2024-12-18T00:12:51.3410105Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0 2024-12-18T00:12:51.3412053Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2024-12-18T00:12:51.3417687Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0 2024-12-18T00:12:51.3419669Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2024-12-18T00:12:51.3422564Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0 2024-12-18T00:12:51.3424528Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2024-12-18T00:12:51.3454253Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0 2024-12-18T00:12:51.3456872Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2024-12-18T00:12:51.3474538Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0 2024-12-18T00:12:51.3476862Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0, line 102 <- wrt source file 2024-12-18T00:12:51.3479191Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::calculate_gain:0 2024-12-18T00:12:51.3481124Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 159 <- wrt source file 2024-12-18T00:12:51.3483116Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0 2024-12-18T00:12:51.3485006Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 186 <- wrt source file 2024-12-18T00:12:51.3487070Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::normal_:0 2024-12-18T00:12:51.3488998Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 221 <- wrt source file 2024-12-18T00:12:51.3491002Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0 2024-12-18T00:12:51.3493052Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 235 <- wrt source file 2024-12-18T00:12:51.3495007Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::constant_:0 2024-12-18T00:12:51.3496864Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 252 <- wrt source file 2024-12-18T00:12:51.3498746Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::ones_:0 2024-12-18T00:12:51.3500588Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 265 <- wrt source file 2024-12-18T00:12:51.3502526Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0 2024-12-18T00:12:51.3504365Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 281 <- wrt source file 2024-12-18T00:12:51.3506235Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::eye_:0 2024-12-18T00:12:51.3508076Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 303 <- wrt source file 2024-12-18T00:12:51.3509961Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0 2024-12-18T00:12:51.3511882Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 389 <- wrt source file 2024-12-18T00:12:51.3513923Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0 2024-12-18T00:12:51.3515916Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 429 <- wrt source file 2024-12-18T00:12:51.3517934Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0 2024-12-18T00:12:51.3519946Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 488 <- wrt source file 2024-12-18T00:12:51.3522091Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0 2024-12-18T00:12:51.3524114Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 553 <- wrt source file 2024-12-18T00:12:51.3526165Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0 2024-12-18T00:12:51.3528127Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 592 <- wrt source file 2024-12-18T00:12:51.3530122Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0 2024-12-18T00:12:51.3532032Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 645 <- wrt source file 2024-12-18T00:12:51.3533946Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0 2024-12-18T00:12:51.3535986Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 103 <- wrt source file 2024-12-18T00:12:51.3538225Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2024-12-18T00:12:51.3540448Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2024-12-18T00:12:51.3542621Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0 2024-12-18T00:12:51.3544805Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 70 <- wrt source file 2024-12-18T00:12:51.3547078Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0 2024-12-18T00:12:51.3549222Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 112 <- wrt source file 2024-12-18T00:12:51.3551376Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0 2024-12-18T00:12:51.3553526Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 171 <- wrt source file 2024-12-18T00:12:51.3555687Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0 2024-12-18T00:12:51.3557836Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 227 <- wrt source file 2024-12-18T00:12:51.3560240Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2024-12-18T00:12:51.3562419Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 292 <- wrt source file 2024-12-18T00:12:51.3564586Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0 2024-12-18T00:12:51.3566727Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 320 <- wrt source file 2024-12-18T00:12:51.3568930Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2024-12-18T00:12:51.3571130Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 352 <- wrt source file 2024-12-18T00:12:51.3573432Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2024-12-18T00:12:51.3575599Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 385 <- wrt source file 2024-12-18T00:12:51.3577741Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0 2024-12-18T00:12:51.3579824Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 418 <- wrt source file 2024-12-18T00:12:51.3581974Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0 2024-12-18T00:12:51.3584084Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 457 <- wrt source file 2024-12-18T00:12:51.3586230Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0 2024-12-18T00:12:51.3588374Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 502 <- wrt source file 2024-12-18T00:12:51.3590618Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0 2024-12-18T00:12:51.3592751Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 545 <- wrt source file 2024-12-18T00:12:51.3594968Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0 2024-12-18T00:12:51.3597070Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 587 <- wrt source file 2024-12-18T00:12:51.3599336Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0 2024-12-18T00:12:51.3601486Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 640 <- wrt source file 2024-12-18T00:12:51.3603639Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0 2024-12-18T00:12:51.3605723Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 678 <- wrt source file 2024-12-18T00:12:51.3607906Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0 2024-12-18T00:12:51.3609986Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 720 <- wrt source file 2024-12-18T00:12:51.3612129Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0 2024-12-18T00:12:51.3614296Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 763 <- wrt source file 2024-12-18T00:12:51.3616559Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2024-12-18T00:12:51.3618773Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 812 <- wrt source file 2024-12-18T00:12:51.3621024Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2024-12-18T00:12:51.3623235Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 848 <- wrt source file 2024-12-18T00:12:51.3625496Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2024-12-18T00:12:51.3627700Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 881 <- wrt source file 2024-12-18T00:12:51.3629925Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0 2024-12-18T00:12:51.3632123Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 924 <- wrt source file 2024-12-18T00:12:51.3634386Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0 2024-12-18T00:12:51.3636724Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1026 <- wrt source file 2024-12-18T00:12:51.3639186Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2024-12-18T00:12:51.3641513Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1489 <- wrt source file 2024-12-18T00:12:51.3657199Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0 2024-12-18T00:12:51.3659781Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1531 <- wrt source file 2024-12-18T00:12:51.3662215Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0 2024-12-18T00:12:51.3664449Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1554 <- wrt source file 2024-12-18T00:12:51.3666789Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2024-12-18T00:12:51.3669070Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1589 <- wrt source file 2024-12-18T00:12:51.3671286Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0 2024-12-18T00:12:51.3673451Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1647 <- wrt source file 2024-12-18T00:12:51.3675665Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0 2024-12-18T00:12:51.3677915Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1688 <- wrt source file 2024-12-18T00:12:51.3680177Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2024-12-18T00:12:51.3682469Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1724 <- wrt source file 2024-12-18T00:12:51.3684735Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2024-12-18T00:12:51.3686967Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file 2024-12-18T00:12:51.3689246Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2024-12-18T00:12:51.3691470Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file 2024-12-18T00:12:51.3878351Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2024-12-18T00:12:51.3880978Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file 2024-12-18T00:12:51.6312897Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2024-12-18T00:12:51.6471932Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2024-12-18T00:12:51.6493472Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2024-12-18T00:12:51.6495777Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 86 <- wrt source file 2024-12-18T00:12:51.6498033Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0 2024-12-18T00:12:51.6500244Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 292 <- wrt source file 2024-12-18T00:12:51.6502510Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0 2024-12-18T00:12:51.6504704Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 474 <- wrt source file 2024-12-18T00:12:51.6507195Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0 2024-12-18T00:12:51.6509439Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 606 <- wrt source file 2024-12-18T00:12:51.6511752Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0 2024-12-18T00:12:51.6514141Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 758 <- wrt source file 2024-12-18T00:12:51.6516462Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0 2024-12-18T00:12:51.6518754Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2024-12-18T00:12:51.6521116Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2024-12-18T00:12:51.6523585Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 77 <- wrt source file 2024-12-18T00:12:51.6525942Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2024-12-18T00:12:51.6528133Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2024-12-18T00:12:51.6530271Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0 2024-12-18T00:12:51.6532387Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file 2024-12-18T00:12:51.6534555Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2024-12-18T00:12:51.6536695Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file 2024-12-18T00:12:51.6549764Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2024-12-18T00:12:51.6551922Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file 2024-12-18T00:12:51.6627218Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2024-12-18T00:12:51.6629769Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file 2024-12-18T00:12:51.6632233Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2024-12-18T00:12:51.6634549Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file 2024-12-18T00:12:51.6709504Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2024-12-18T00:12:51.6712142Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2024-12-18T00:12:51.6714787Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0 2024-12-18T00:12:51.6716824Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 111 <- wrt source file 2024-12-18T00:12:51.6720450Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0 2024-12-18T00:12:51.6722804Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 261 <- wrt source file 2024-12-18T00:12:51.6736367Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0 2024-12-18T00:12:51.6738697Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2024-12-18T00:12:51.6750008Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2024-12-18T00:12:51.6752388Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2024-12-18T00:12:51.6931249Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2024-12-18T00:12:51.6934275Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2024-12-18T00:12:51.9320346Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2024-12-18T00:12:51.9478904Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 87 <- wrt source file 2024-12-18T00:12:51.9481233Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2024-12-18T00:12:51.9483448Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2024-12-18T00:12:51.9488051Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0 2024-12-18T00:12:51.9490132Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file 2024-12-18T00:12:51.9497154Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0 2024-12-18T00:12:51.9499245Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file 2024-12-18T00:12:51.9517854Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0 2024-12-18T00:12:51.9519896Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2024-12-18T00:12:51.9526406Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0 2024-12-18T00:12:51.9528441Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 211 <- wrt source file 2024-12-18T00:12:51.9554525Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2024-12-18T00:12:51.9556690Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 321 <- wrt source file 2024-12-18T00:12:51.9562278Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2024-12-18T00:12:51.9564473Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 406 <- wrt source file 2024-12-18T00:12:51.9577374Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2024-12-18T00:12:51.9579525Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 519 <- wrt source file 2024-12-18T00:12:51.9586727Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2024-12-18T00:12:51.9588767Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 597 <- wrt source file 2024-12-18T00:12:51.9593992Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0 2024-12-18T00:12:51.9596063Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 679 <- wrt source file 2024-12-18T00:12:51.9600532Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0 2024-12-18T00:12:51.9602757Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 750 <- wrt source file 2024-12-18T00:12:51.9612708Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2024-12-18T00:12:51.9615016Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 943 <- wrt source file 2024-12-18T00:12:51.9620309Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2024-12-18T00:12:51.9622592Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1263 <- wrt source file 2024-12-18T00:12:51.9628985Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2024-12-18T00:12:51.9631607Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1403 <- wrt source file 2024-12-18T00:12:51.9638250Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2024-12-18T00:12:51.9640556Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1468 <- wrt source file 2024-12-18T00:12:51.9645534Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2024-12-18T00:12:51.9647766Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1547 <- wrt source file 2024-12-18T00:12:51.9653882Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2024-12-18T00:12:51.9656109Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1647 <- wrt source file 2024-12-18T00:12:51.9666079Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2024-12-18T00:12:51.9668231Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1888 <- wrt source file 2024-12-18T00:12:51.9692260Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2024-12-18T00:12:51.9694499Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 548 <- wrt source file 2024-12-18T00:12:51.9696899Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2024-12-18T00:12:51.9699183Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1008 <- wrt source file 2024-12-18T00:12:51.9707185Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0 2024-12-18T00:12:51.9709329Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1262 <- wrt source file 2024-12-18T00:12:51.9714190Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0 2024-12-18T00:12:51.9716467Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2180 <- wrt source file 2024-12-18T00:12:51.9718779Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2024-12-18T00:12:51.9721067Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2622 <- wrt source file 2024-12-18T00:12:51.9723556Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0 2024-12-18T00:12:51.9725953Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2650 <- wrt source file 2024-12-18T00:12:51.9728421Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2024-12-18T00:12:51.9730742Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2677 <- wrt source file 2024-12-18T00:12:51.9733005Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0 2024-12-18T00:12:51.9735286Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2704 <- wrt source file 2024-12-18T00:12:51.9737664Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2024-12-18T00:12:51.9740003Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2735 <- wrt source file 2024-12-18T00:12:51.9742400Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0 2024-12-18T00:12:51.9744658Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2759 <- wrt source file 2024-12-18T00:12:51.9746918Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0 2024-12-18T00:12:51.9749110Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2797 <- wrt source file 2024-12-18T00:12:51.9751499Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2024-12-18T00:12:51.9753847Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2024-12-18T00:12:51.9762424Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2024-12-18T00:12:51.9764789Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file 2024-12-18T00:12:51.9772353Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2024-12-18T00:12:51.9775006Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file 2024-12-18T00:12:51.9780519Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2024-12-18T00:12:51.9783145Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file 2024-12-18T00:12:51.9786030Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2024-12-18T00:12:51.9788265Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 69 <- wrt source file 2024-12-18T00:12:51.9792294Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2024-12-18T00:12:51.9794537Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 120 <- wrt source file 2024-12-18T00:12:51.9812121Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2024-12-18T00:12:51.9814352Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 184 <- wrt source file 2024-12-18T00:12:52.5570415Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2024-12-18T00:12:52.5853904Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 238 <- wrt source file 2024-12-18T00:12:52.5864511Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2024-12-18T00:12:52.5866733Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 291 <- wrt source file 2024-12-18T00:12:52.5871167Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2024-12-18T00:12:52.5873418Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 347 <- wrt source file 2024-12-18T00:12:52.5895804Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2024-12-18T00:12:52.5898063Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 391 <- wrt source file 2024-12-18T00:12:52.5902472Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2024-12-18T00:12:52.5904732Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 435 <- wrt source file 2024-12-18T00:12:52.5908401Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2024-12-18T00:12:52.5910670Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 492 <- wrt source file 2024-12-18T00:12:52.5912995Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2024-12-18T00:12:52.5915266Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 550 <- wrt source file 2024-12-18T00:12:52.5918065Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2024-12-18T00:12:52.5920355Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 593 <- wrt source file 2024-12-18T00:12:52.5924350Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2024-12-18T00:12:52.5926632Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 650 <- wrt source file 2024-12-18T00:12:53.0748568Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2024-12-18T00:12:53.1034817Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 684 <- wrt source file 2024-12-18T00:12:53.1045068Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2024-12-18T00:12:53.1047216Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 739 <- wrt source file 2024-12-18T00:12:53.1051626Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2024-12-18T00:12:53.1053778Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 798 <- wrt source file 2024-12-18T00:12:53.1076233Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2024-12-18T00:12:53.1078458Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2024-12-18T00:12:53.1082436Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2024-12-18T00:12:53.1084772Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file 2024-12-18T00:12:53.1087858Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2024-12-18T00:12:53.1090088Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 118 <- wrt source file 2024-12-18T00:12:53.1094628Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2024-12-18T00:12:53.1096774Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 195 <- wrt source file 2024-12-18T00:12:53.1139650Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2024-12-18T00:12:53.1141799Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 278 <- wrt source file 2024-12-18T00:12:53.3065675Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2024-12-18T00:12:53.3123795Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 352 <- wrt source file 2024-12-18T00:12:53.3135577Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2024-12-18T00:12:53.3137778Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 534 <- wrt source file 2024-12-18T00:12:53.3840570Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2024-12-18T00:12:53.3842806Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 622 <- wrt source file 2024-12-18T00:12:53.3849225Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2024-12-18T00:12:53.3851378Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 714 <- wrt source file 2024-12-18T00:12:53.3889009Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2024-12-18T00:12:53.3891283Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 827 <- wrt source file 2024-12-18T00:12:53.5496846Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2024-12-18T00:12:53.5555057Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 917 <- wrt source file 2024-12-18T00:12:53.5600046Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2024-12-18T00:12:53.5602778Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1003 <- wrt source file 2024-12-18T00:12:53.6262485Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2024-12-18T00:12:53.6264770Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1117 <- wrt source file 2024-12-18T00:12:53.6270385Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2024-12-18T00:12:53.6272520Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1168 <- wrt source file 2024-12-18T00:12:53.6317329Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2024-12-18T00:12:53.6320181Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1227 <- wrt source file 2024-12-18T00:12:53.8260879Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2024-12-18T00:12:53.8317919Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1282 <- wrt source file 2024-12-18T00:12:53.8324534Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2024-12-18T00:12:53.8326881Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1316 <- wrt source file 2024-12-18T00:12:53.8334237Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2024-12-18T00:12:53.8336582Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1359 <- wrt source file 2024-12-18T00:12:53.8359402Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2024-12-18T00:12:53.8361843Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1406 <- wrt source file 2024-12-18T00:12:53.8364452Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2024-12-18T00:12:53.8366798Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1437 <- wrt source file 2024-12-18T00:12:53.8372563Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2024-12-18T00:12:53.8374899Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1476 <- wrt source file 2024-12-18T00:12:53.8392375Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2024-12-18T00:12:53.8394568Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 591 <- wrt source file 2024-12-18T00:12:53.8404070Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0 2024-12-18T00:12:53.8406028Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 948 <- wrt source file 2024-12-18T00:12:53.8814020Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0 2024-12-18T00:12:53.8816121Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1285 <- wrt source file 2024-12-18T00:12:53.8831299Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0 2024-12-18T00:12:53.8833297Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1536 <- wrt source file 2024-12-18T00:12:53.8843051Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2024-12-18T00:12:53.8845119Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1658 <- wrt source file 2024-12-18T00:12:53.8852988Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2024-12-18T00:12:53.8855041Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1772 <- wrt source file 2024-12-18T00:12:53.8866795Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2024-12-18T00:12:53.8868863Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 69 <- wrt source file 2024-12-18T00:12:53.8880271Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0 2024-12-18T00:12:53.8882615Z * 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 2024-12-18T00:12:53.8885585Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2024-12-18T00:12:53.8888067Z * 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 2024-12-18T00:12:53.8892117Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2024-12-18T00:12:53.8894504Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 86 <- wrt source file 2024-12-18T00:12:54.3864746Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0 2024-12-18T00:12:54.3879862Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 254 <- wrt source file 2024-12-18T00:12:54.3882465Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2024-12-18T00:12:54.3885198Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 319 <- wrt source file 2024-12-18T00:12:54.4350093Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2024-12-18T00:12:54.4353934Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 532 <- wrt source file 2024-12-18T00:12:54.5232287Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2024-12-18T00:12:54.5277622Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 653 <- wrt source file 2024-12-18T00:12:54.5476441Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2024-12-18T00:12:54.5479304Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 957 <- wrt source file 2024-12-18T00:12:54.5783717Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2024-12-18T00:12:54.5786119Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2024-12-18T00:12:54.5809630Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2024-12-18T00:12:54.5811987Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file 2024-12-18T00:12:54.5821702Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2024-12-18T00:12:54.5824168Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file 2024-12-18T00:12:54.5830740Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2024-12-18T00:12:54.5833193Z * 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 2024-12-18T00:12:54.5835596Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2024-12-18T00:12:54.5838074Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 619 <- wrt source file 2024-12-18T00:12:54.5840693Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2024-12-18T00:12:54.5843414Z * 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 2024-12-18T00:12:54.5846185Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2024-12-18T00:12:54.5849015Z * 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 2024-12-18T00:12:54.5851990Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2024-12-18T00:12:54.5854891Z * 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 2024-12-18T00:12:54.5858302Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2024-12-18T00:12:54.5861398Z * 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 2024-12-18T00:12:54.5864597Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2024-12-18T00:12:54.5867306Z * 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 2024-12-18T00:12:54.5869835Z * 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 2024-12-18T00:12:54.5872150Z * 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 2024-12-18T00:12:54.5874228Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0 2024-12-18T00:12:54.5876457Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2024-12-18T00:12:54.5878833Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2024-12-18T00:12:54.5881153Z * 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 2024-12-18T00:12:54.5883602Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2024-12-18T00:12:54.5885976Z * 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 2024-12-18T00:12:54.5888413Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2024-12-18T00:12:54.5890872Z * 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 2024-12-18T00:12:54.5893418Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/parametrize.py::register_parametrization:0 2024-12-18T00:12:54.5895665Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 845 <- wrt source file 2024-12-18T00:12:54.5897745Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0 2024-12-18T00:12:54.5899895Z * 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 2024-12-18T00:12:54.5902188Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2024-12-18T00:12:54.5904392Z * 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 2024-12-18T00:12:54.5906587Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2024-12-18T00:12:54.5908662Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1191 <- wrt source file 2024-12-18T00:12:54.5910731Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0 2024-12-18T00:12:54.5912857Z * 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 2024-12-18T00:12:54.5914965Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0 2024-12-18T00:12:54.5917153Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 360 <- wrt source file 2024-12-18T00:12:54.5919396Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2024-12-18T00:12:54.5921573Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 438 <- wrt source file 2024-12-18T00:12:54.5923671Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2024-12-18T00:12:54.5925788Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 496 <- wrt source file 2024-12-18T00:12:54.5927931Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2024-12-18T00:12:54.5930010Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 552 <- wrt source file 2024-12-18T00:12:54.5932117Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2024-12-18T00:12:54.5934185Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 580 <- wrt source file 2024-12-18T00:12:54.5938620Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2024-12-18T00:12:54.5940843Z * 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 2024-12-18T00:12:54.5945952Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2024-12-18T00:12:54.5948305Z * 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 2024-12-18T00:12:54.5953349Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2024-12-18T00:12:54.5955671Z * 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 2024-12-18T00:12:54.5958100Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0 2024-12-18T00:12:54.5960326Z * 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 2024-12-18T00:12:54.5964653Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2024-12-18T00:12:54.5966907Z * 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 2024-12-18T00:12:54.5969829Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2024-12-18T00:12:54.5972212Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2024-12-18T00:12:54.5974698Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2024-12-18T00:12:54.5977581Z * 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 2024-12-18T00:12:54.5996388Z * 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 2024-12-18T00:12:54.5999016Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 309 <- wrt source file 2024-12-18T00:12:54.6001170Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2024-12-18T00:12:54.6003457Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 411 <- wrt source file 2024-12-18T00:12:54.6005799Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2024-12-18T00:12:54.6008025Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 511 <- wrt source file 2024-12-18T00:12:54.6010145Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2024-12-18T00:12:54.6012277Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 571 <- wrt source file 2024-12-18T00:12:54.6014477Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2024-12-18T00:12:54.6016622Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 636 <- wrt source file 2024-12-18T00:12:54.6018842Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2024-12-18T00:12:54.6020965Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 714 <- wrt source file 2024-12-18T00:12:54.6023111Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2024-12-18T00:12:54.6025266Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 847 <- wrt source file 2024-12-18T00:12:54.6027499Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2024-12-18T00:12:54.6029672Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 996 <- wrt source file 2024-12-18T00:12:54.6031903Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2024-12-18T00:12:54.6034149Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1152 <- wrt source file 2024-12-18T00:12:54.6036472Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2024-12-18T00:12:54.6038765Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0, line 1295 <- wrt source file 2024-12-18T00:12:54.6041109Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ReduceLROnPlateau:0 2024-12-18T00:12:54.6043372Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1543 <- wrt source file 2024-12-18T00:12:54.6045523Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2024-12-18T00:12:54.6047948Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1813 <- wrt source file 2024-12-18T00:12:54.6050659Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2024-12-18T00:12:54.6053344Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1829 <- wrt source file 2024-12-18T00:12:54.6055999Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2024-12-18T00:12:54.6058507Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1973 <- wrt source file 2024-12-18T00:12:54.6060713Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2024-12-18T00:12:54.6062858Z * DOCTEST : 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 334 <- wrt source file 2024-12-18T00:12:54.6148934Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2024-12-18T00:12:54.6151048Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 364 <- wrt source file 2024-12-18T00:12:54.6153144Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2024-12-18T00:12:54.6155228Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 399 <- wrt source file 2024-12-18T00:12:54.6157421Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2024-12-18T00:12:54.6159697Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 434 <- wrt source file 2024-12-18T00:12:54.6162006Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2024-12-18T00:12:54.6164180Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 471 <- wrt source file 2024-12-18T00:12:54.6166275Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2024-12-18T00:12:54.6168424Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 847 <- wrt source file 2024-12-18T00:12:54.6170665Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2024-12-18T00:12:54.6172811Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 960 <- wrt source file 2024-12-18T00:12:54.6174844Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0 2024-12-18T00:12:54.6177168Z * 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 2024-12-18T00:12:54.6179804Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2024-12-18T00:12:54.6182528Z * 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 2024-12-18T00:12:54.6185415Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2024-12-18T00:12:54.6188044Z * 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 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/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2024-12-18T00:12:54.6559245Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 304 <- wrt source file 2024-12-18T00:12:54.6561549Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2024-12-18T00:12:54.6563813Z * 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 2024-12-18T00:12:54.6566228Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2024-12-18T00:12:54.6568508Z * 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 2024-12-18T00:12:54.6570771Z * SUCCESS: 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2024-12-18T00:12:54.6602131Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2024-12-18T00:12:54.6604913Z * 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 2024-12-18T00:12:54.6607718Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2024-12-18T00:12:54.6610491Z * 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 2024-12-18T00:12:54.6613257Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2024-12-18T00:12:54.6615920Z * 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 2024-12-18T00:12:54.6618586Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2024-12-18T00:12:54.6621331Z * 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 2024-12-18T00:12:54.6624256Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2024-12-18T00:12:54.6627101Z * 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 2024-12-18T00:12:54.6629973Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2024-12-18T00:12:54.6632743Z * 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 2024-12-18T00:12:54.6635512Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2024-12-18T00:12:54.6638284Z * 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 2024-12-18T00:12:54.6641166Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2024-12-18T00:12:54.6644048Z * 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 2024-12-18T00:12:54.6646924Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2024-12-18T00:12:54.6649694Z * 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 2024-12-18T00:12:54.6652508Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2024-12-18T00:12:54.6655264Z * 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 2024-12-18T00:12:54.6658388Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2024-12-18T00:12:54.6661149Z * 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 2024-12-18T00:12:54.6663934Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2024-12-18T00:12:54.6666650Z * 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 2024-12-18T00:12:54.6669478Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2024-12-18T00:12:54.6672326Z * 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 2024-12-18T00:12:54.6675310Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2024-12-18T00:12:54.6678164Z * 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 2024-12-18T00:12:54.6681579Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2024-12-18T00:12:54.6684314Z * 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 2024-12-18T00:12:54.6687026Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2024-12-18T00:12:54.6689791Z * 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 2024-12-18T00:12:54.6692685Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2024-12-18T00:12:54.6695452Z * 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 2024-12-18T00:12:54.6698247Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2024-12-18T00:12:54.6700967Z * 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 2024-12-18T00:12:54.6703718Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2024-12-18T00:12:54.6706396Z * 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 2024-12-18T00:12:54.6709131Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2024-12-18T00:12:54.6711855Z * 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 2024-12-18T00:12:54.6714728Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2024-12-18T00:12:54.6717466Z * 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 2024-12-18T00:12:54.6720198Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2024-12-18T00:12:54.6722898Z * 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 2024-12-18T00:12:54.6725531Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2024-12-18T00:12:54.6728072Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2024-12-18T00:12:54.6730578Z * SUCCESS: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2024-12-18T00:12:54.6733062Z * DOCTEST : /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2024-12-18T00:12:54.6735622Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2024-12-18T00:12:54.6738118Z * 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 2024-12-18T00:12:54.6740695Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2024-12-18T00:12:54.6743257Z * 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 2024-12-18T00:12:54.6745903Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2024-12-18T00:12:54.6748476Z * 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 2024-12-18T00:12:54.6751086Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2024-12-18T00:12:54.6753648Z * 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 2024-12-18T00:12:54.6756280Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2024-12-18T00:12:54.6758977Z * 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 2024-12-18T00:12:54.6761652Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2024-12-18T00:12:54.6764248Z * 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 2024-12-18T00:12:54.6766917Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2024-12-18T00:12:54.6769639Z * 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 2024-12-18T00:12:54.6772381Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2024-12-18T00:12:54.6775057Z * 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 2024-12-18T00:12:54.6777689Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2024-12-18T00:12:54.6780234Z * 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 2024-12-18T00:12:54.6782837Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2024-12-18T00:12:54.6785417Z * 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 2024-12-18T00:12:54.6787982Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2024-12-18T00:12:54.6790561Z * 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 2024-12-18T00:12:54.6793211Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2024-12-18T00:12:54.6795806Z * 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 2024-12-18T00:12:54.6798436Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2024-12-18T00:12:54.6801251Z * 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 2024-12-18T00:12:54.6804312Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2024-12-18T00:12:54.6807260Z * 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 2024-12-18T00:12:54.6810238Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2024-12-18T00:12:54.6813038Z * 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 2024-12-18T00:12:54.6815799Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2024-12-18T00:12:54.6818439Z * 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 2024-12-18T00:12:54.6821014Z * SKIPPED: /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2024-12-18T00:12:54.6822340Z ============ 2024-12-18T00:12:54.6822807Z Finished doctests 2024-12-18T00:12:54.6823207Z 338 / 705 passed 2024-12-18T00:12:54.6823617Z  2024-12-18T00:12:54.6824140Z === Found 105 parse-time warnings === 2024-12-18T00:12:54.6824935Z --- Parse Warning: 1 / 105 --- 2024-12-18T00:12:54.6826857Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py line=1496. 2024-12-18T00:12:54.6829033Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.6829871Z 2024-12-18T00:12:54.6830312Z dim_order(ambiguity_check=False) -> tuple 2024-12-18T00:12:54.6830864Z 2024-12-18T00:12:54.6831466Z Returns the uniquely determined tuple of int describing the dim order or 2024-12-18T00:12:54.6832277Z physical layout of :attr:`self`. 2024-12-18T00:12:54.6832775Z 2024-12-18T00:12:54.6833303Z The dim order represents how dimensions are laid out in memory, 2024-12-18T00:12:54.6834146Z starting from the outermost to the innermost dimension. 2024-12-18T00:12:54.6834787Z 2024-12-18T00:12:54.6835306Z Note that the dim order may not always be uniquely determined. 2024-12-18T00:12:54.6836515Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2024-12-18T00:12:54.6838154Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2024-12-18T00:12:54.6839514Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2024-12-18T00:12:54.6840755Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2024-12-18T00:12:54.6841802Z Otherwise, it will raise TypeError. 2024-12-18T00:12:54.6842327Z 2024-12-18T00:12:54.6842656Z Args: 2024-12-18T00:12:54.6843432Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2024-12-18T00:12:54.6844356Z 2024-12-18T00:12:54.6844749Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2024-12-18T00:12:54.6845289Z (0, 1, 2, 3) 2024-12-18T00:12:54.6845795Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2024-12-18T00:12:54.6846420Z (0, 2, 1, 3) 2024-12-18T00:12:54.6847035Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2024-12-18T00:12:54.6847748Z (0, 2, 3, 1) 2024-12-18T00:12:54.6848191Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2024-12-18T00:12:54.6848714Z (0, 1, 2, 3) 2024-12-18T00:12:54.6849110Z >>> try: 2024-12-18T00:12:54.6849632Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2024-12-18T00:12:54.6850315Z ... except RuntimeError as e: 2024-12-18T00:12:54.6850833Z ... print(e) 2024-12-18T00:12:54.6851637Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2024-12-18T00:12:54.6852587Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2024-12-18T00:12:54.6853348Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2024-12-18T00:12:54.6854152Z ... ) # It can be mapped to contiguous format 2024-12-18T00:12:54.6854717Z (0, 1, 2, 3) 2024-12-18T00:12:54.6855113Z >>> try: 2024-12-18T00:12:54.6855647Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2024-12-18T00:12:54.6856351Z ... except TypeError as e: 2024-12-18T00:12:54.6856850Z ... print(e) 2024-12-18T00:12:54.6857539Z The ambiguity_check argument must be a bool or a list of memory formats. 2024-12-18T00:12:54.6858443Z .. warning:: 2024-12-18T00:12:54.6859012Z The dim_order tensor API is experimental and subject to change. 2024-12-18T00:12:54.6859702Z 2024-12-18T00:12:54.6860332Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.6861128Z 2024-12-18T00:12:54.6861488Z warnings.warn(msg) 2024-12-18T00:12:54.6861904Z 2024-12-18T00:12:54.6862456Z --- Parse Warning: 2 / 105 --- 2024-12-18T00:12:54.6864454Z /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=431. 2024-12-18T00:12:54.6866602Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.6867752Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2024-12-18T00:12:54.6868572Z 2024-12-18T00:12:54.6869055Z This is helpful when you want to visualize data over some 2024-12-18T00:12:54.6869832Z range of inputs. See below for a plotting example. 2024-12-18T00:12:54.6870444Z 2024-12-18T00:12:54.6870923Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2024-12-18T00:12:54.6871736Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2024-12-18T00:12:54.6872587Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2024-12-18T00:12:54.6873398Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2024-12-18T00:12:54.6874235Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2024-12-18T00:12:54.6874941Z to the result shape. 2024-12-18T00:12:54.6875417Z 2024-12-18T00:12:54.6875754Z .. note:: 2024-12-18T00:12:54.6876285Z 0D inputs are treated equivalently to 1D inputs of a 2024-12-18T00:12:54.6876938Z single element. 2024-12-18T00:12:54.6877386Z 2024-12-18T00:12:54.6877735Z .. warning:: 2024-12-18T00:12:54.6878310Z `torch.meshgrid(*tensors)` currently has the same behavior 2024-12-18T00:12:54.6879124Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2024-12-18T00:12:54.6879754Z 2024-12-18T00:12:54.6880207Z In the future `torch.meshgrid` will transition to 2024-12-18T00:12:54.6880858Z `indexing='xy'` as the default. 2024-12-18T00:12:54.6881377Z 2024-12-18T00:12:54.6881962Z https://github.com/pytorch/pytorch/issues/50276 tracks 2024-12-18T00:12:54.6882789Z this issue with the goal of migrating to NumPy's behavior. 2024-12-18T00:12:54.6883455Z 2024-12-18T00:12:54.6883796Z .. seealso:: 2024-12-18T00:12:54.6884202Z 2024-12-18T00:12:54.6884683Z :func:`torch.cartesian_prod` has the same effect but it 2024-12-18T00:12:54.6885418Z collects the data in a tensor of vectors. 2024-12-18T00:12:54.6885987Z 2024-12-18T00:12:54.6886324Z Args: 2024-12-18T00:12:54.6887002Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2024-12-18T00:12:54.6887957Z treated as tensors of size :math:`(1,)` automatically 2024-12-18T00:12:54.6888590Z 2024-12-18T00:12:54.6889092Z indexing: (str, optional): the indexing mode, either "xy" 2024-12-18T00:12:54.6889899Z or "ij", defaults to "ij". See warning for future changes. 2024-12-18T00:12:54.6890543Z 2024-12-18T00:12:54.6890987Z If "xy" is selected, the first dimension corresponds 2024-12-18T00:12:54.6891736Z to the cardinality of the second input and the second 2024-12-18T00:12:54.6892529Z dimension corresponds to the cardinality of the first 2024-12-18T00:12:54.6893193Z input. 2024-12-18T00:12:54.6893631Z 2024-12-18T00:12:54.6894061Z If "ij" is selected, the dimensions are in the same 2024-12-18T00:12:54.6894749Z order as the cardinality of the inputs. 2024-12-18T00:12:54.6895317Z 2024-12-18T00:12:54.6895662Z Returns: 2024-12-18T00:12:54.6896197Z seq (sequence of Tensors): If the input has :math:`N` 2024-12-18T00:12:54.6896941Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2024-12-18T00:12:54.6898301Z output will also have :math:`N` tensors, where each tensor 2024-12-18T00:12:54.6899031Z is of shape :math:`(S_0, ..., S_{N-1})`. 2024-12-18T00:12:54.6899577Z 2024-12-18T00:12:54.6899940Z Example:: 2024-12-18T00:12:54.6900329Z 2024-12-18T00:12:54.6900716Z >>> x = torch.tensor([1, 2, 3]) 2024-12-18T00:12:54.6901287Z >>> y = torch.tensor([4, 5, 6]) 2024-12-18T00:12:54.6901853Z 2024-12-18T00:12:54.6902407Z Observe the element-wise pairings across the grid, (1, 4), 2024-12-18T00:12:54.6903158Z (1, 5), ..., (3, 6). This is the same thing as the 2024-12-18T00:12:54.6903762Z cartesian product. 2024-12-18T00:12:54.6904380Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2024-12-18T00:12:54.6905024Z >>> grid_x 2024-12-18T00:12:54.6905473Z tensor([[1, 1, 1], 2024-12-18T00:12:54.6905950Z [2, 2, 2], 2024-12-18T00:12:54.6906431Z [3, 3, 3]]) 2024-12-18T00:12:54.6906918Z >>> grid_y 2024-12-18T00:12:54.6907358Z tensor([[4, 5, 6], 2024-12-18T00:12:54.6907866Z [4, 5, 6], 2024-12-18T00:12:54.6908327Z [4, 5, 6]]) 2024-12-18T00:12:54.6908792Z 2024-12-18T00:12:54.6909258Z This correspondence can be seen when these grids are 2024-12-18T00:12:54.6909926Z stacked properly. 2024-12-18T00:12:54.6910603Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2024-12-18T00:12:54.6911365Z ... torch.cartesian_prod(x, y)) 2024-12-18T00:12:54.6911927Z True 2024-12-18T00:12:54.6912316Z 2024-12-18T00:12:54.6912812Z `torch.meshgrid` is commonly used to produce a grid for 2024-12-18T00:12:54.6913480Z plotting. 2024-12-18T00:12:54.6913975Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2024-12-18T00:12:54.6914627Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2024-12-18T00:12:54.6915263Z >>> import matplotlib.pyplot as plt 2024-12-18T00:12:54.6915892Z >>> xs = torch.linspace(-5, 5, steps=100) 2024-12-18T00:12:54.6916516Z >>> ys = torch.linspace(-5, 5, steps=100) 2024-12-18T00:12:54.6917143Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2024-12-18T00:12:54.6917805Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2024-12-18T00:12:54.6918429Z >>> ax = plt.axes(projection='3d') 2024-12-18T00:12:54.6919090Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2024-12-18T00:12:54.6919719Z >>> plt.show() 2024-12-18T00:12:54.6920169Z 2024-12-18T00:12:54.6920557Z .. image:: ../_static/img/meshgrid.png 2024-12-18T00:12:54.6921123Z :width: 512 2024-12-18T00:12:54.6921633Z 2024-12-18T00:12:54.6921971Z 2024-12-18T00:12:54.6922636Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.6923418Z 2024-12-18T00:12:54.6923775Z warnings.warn(msg) 2024-12-18T00:12:54.6924217Z 2024-12-18T00:12:54.6924782Z --- Parse Warning: 3 / 105 --- 2024-12-18T00:12:54.6926713Z /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=820. 2024-12-18T00:12:54.6928867Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.6930216Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> Tuple[Tensor, Tensor, Tensor] 2024-12-18T00:12:54.6931246Z 2024-12-18T00:12:54.6931694Z Returns the unique elements of the input tensor. 2024-12-18T00:12:54.6932290Z 2024-12-18T00:12:54.6932975Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2024-12-18T00:12:54.6934114Z this function also eliminates non-consecutive duplicate values. 2024-12-18T00:12:54.6934830Z 2024-12-18T00:12:54.6935422Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2024-12-18T00:12:54.6936546Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2024-12-18T00:12:54.6937830Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2024-12-18T00:12:54.6938837Z :func:`torch.unique_consecutive` which avoids the sorting. 2024-12-18T00:12:54.6939502Z 2024-12-18T00:12:54.6939842Z Args: 2024-12-18T00:12:54.6940252Z input (Tensor): the input tensor 2024-12-18T00:12:54.6941009Z sorted (bool): Whether to sort the unique elements in ascending order 2024-12-18T00:12:54.6941765Z before returning as output. 2024-12-18T00:12:54.6942517Z return_inverse (bool): Whether to also return the indices for where 2024-12-18T00:12:54.6943532Z elements in the original input ended up in the returned unique list. 2024-12-18T00:12:54.6944513Z return_counts (bool): Whether to also return the counts for each unique 2024-12-18T00:12:54.6945273Z element. 2024-12-18T00:12:54.6945910Z dim (int, optional): the dimension to operate upon. If ``None``, the 2024-12-18T00:12:54.6946824Z unique of the flattened input is returned. Otherwise, each of the 2024-12-18T00:12:54.6947755Z tensors indexed by the given dimension is treated as one of the 2024-12-18T00:12:54.6948690Z elements to apply the unique operation upon. See examples for more 2024-12-18T00:12:54.6949463Z details. Default: ``None`` 2024-12-18T00:12:54.6949977Z 2024-12-18T00:12:54.6950305Z Returns: 2024-12-18T00:12:54.6951043Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2024-12-18T00:12:54.6951906Z 2024-12-18T00:12:54.6952435Z - **output** (*Tensor*): the output list of unique scalar elements. 2024-12-18T00:12:54.6953225Z - **inverse_indices** (*Tensor*): (optional) if 2024-12-18T00:12:54.6953979Z :attr:`return_inverse` is True, there will be an additional 2024-12-18T00:12:54.6954847Z returned tensor (same shape as input) representing the indices 2024-12-18T00:12:54.6955754Z for where elements in the original input map to in the output; 2024-12-18T00:12:54.6956628Z otherwise, this function will only return a single tensor. 2024-12-18T00:12:54.6957372Z - **counts** (*Tensor*): (optional) if 2024-12-18T00:12:54.6958263Z :attr:`return_counts` is True, there will be an additional 2024-12-18T00:12:54.6959112Z returned tensor (same shape as output or output.size(dim), 2024-12-18T00:12:54.6959963Z if dim was specified) representing the number of occurrences 2024-12-18T00:12:54.6960695Z for each unique value or tensor. 2024-12-18T00:12:54.6961242Z 2024-12-18T00:12:54.6961651Z Example:: 2024-12-18T00:12:54.6993378Z 2024-12-18T00:12:54.6994005Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2024-12-18T00:12:54.6994779Z >>> output 2024-12-18T00:12:54.6995213Z tensor([1, 2, 3]) 2024-12-18T00:12:54.6995656Z 2024-12-18T00:12:54.6996076Z >>> output, inverse_indices = torch.unique( 2024-12-18T00:12:54.6996907Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2024-12-18T00:12:54.6997689Z >>> output 2024-12-18T00:12:54.6998114Z tensor([1, 2, 3]) 2024-12-18T00:12:54.6998579Z >>> inverse_indices 2024-12-18T00:12:54.6999061Z tensor([0, 2, 1, 2]) 2024-12-18T00:12:54.6999665Z 2024-12-18T00:12:54.7000081Z >>> output, inverse_indices = torch.unique( 2024-12-18T00:12:54.7000923Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2024-12-18T00:12:54.7001760Z >>> output 2024-12-18T00:12:54.7002188Z tensor([1, 2, 3]) 2024-12-18T00:12:54.7002668Z >>> inverse_indices 2024-12-18T00:12:54.7003254Z tensor([[0, 2], 2024-12-18T00:12:54.7003707Z [1, 2]]) 2024-12-18T00:12:54.7004130Z 2024-12-18T00:12:54.7004487Z >>> a = torch.tensor([ 2024-12-18T00:12:54.7004975Z ... [ 2024-12-18T00:12:54.7005387Z ... [1, 1, 0, 0], 2024-12-18T00:12:54.7005882Z ... [1, 1, 0, 0], 2024-12-18T00:12:54.7006359Z ... [0, 0, 1, 1], 2024-12-18T00:12:54.7006841Z ... ], 2024-12-18T00:12:54.7007239Z ... [ 2024-12-18T00:12:54.7007648Z ... [0, 0, 1, 1], 2024-12-18T00:12:54.7008127Z ... [0, 0, 1, 1], 2024-12-18T00:12:54.7008615Z ... [1, 1, 1, 1], 2024-12-18T00:12:54.7009136Z ... ], 2024-12-18T00:12:54.7009542Z ... [ 2024-12-18T00:12:54.7009948Z ... [1, 1, 0, 0], 2024-12-18T00:12:54.7010429Z ... [1, 1, 0, 0], 2024-12-18T00:12:54.7010933Z ... [0, 0, 1, 1], 2024-12-18T00:12:54.7011411Z ... ], 2024-12-18T00:12:54.7011819Z ... ]) 2024-12-18T00:12:54.7012193Z 2024-12-18T00:12:54.7012741Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2024-12-18T00:12:54.7013673Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2024-12-18T00:12:54.7014471Z >>> # each other, so one of them will be removed. 2024-12-18T00:12:54.7015084Z >>> (a[0, :, :] == a[2, :, :]).all() 2024-12-18T00:12:54.7015616Z tensor(True) 2024-12-18T00:12:54.7016109Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2024-12-18T00:12:54.7016673Z >>> a_unique_dim0 2024-12-18T00:12:54.7017149Z tensor([[[0, 0, 1, 1], 2024-12-18T00:12:54.7017638Z [0, 0, 1, 1], 2024-12-18T00:12:54.7018116Z [1, 1, 1, 1]], 2024-12-18T00:12:54.7018589Z [[1, 1, 0, 0], 2024-12-18T00:12:54.7019073Z [1, 1, 0, 0], 2024-12-18T00:12:54.7019553Z [0, 0, 1, 1]]]) 2024-12-18T00:12:54.7020029Z 2024-12-18T00:12:54.7020592Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2024-12-18T00:12:54.7021343Z >>> # `a_unique_dim0`: 2024-12-18T00:12:54.7021872Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2024-12-18T00:12:54.7022444Z tensor(True) 2024-12-18T00:12:54.7022934Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2024-12-18T00:12:54.7023508Z tensor(True) 2024-12-18T00:12:54.7023930Z 2024-12-18T00:12:54.7024464Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2024-12-18T00:12:54.7025341Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2024-12-18T00:12:54.7026048Z >>> # them will be removed. 2024-12-18T00:12:54.7026585Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2024-12-18T00:12:54.7027124Z tensor(True) 2024-12-18T00:12:54.7027572Z >>> torch.unique(a, dim=1) 2024-12-18T00:12:54.7028100Z tensor([[[0, 0, 1, 1], 2024-12-18T00:12:54.7028588Z [1, 1, 0, 0]], 2024-12-18T00:12:54.7029071Z [[1, 1, 1, 1], 2024-12-18T00:12:54.7029549Z [0, 0, 1, 1]], 2024-12-18T00:12:54.7030019Z [[0, 0, 1, 1], 2024-12-18T00:12:54.7030493Z [1, 1, 0, 0]]]) 2024-12-18T00:12:54.7030961Z 2024-12-18T00:12:54.7031567Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2024-12-18T00:12:54.7032410Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2024-12-18T00:12:54.7033187Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2024-12-18T00:12:54.7033886Z >>> # sub-tensors will be removed. 2024-12-18T00:12:54.7034525Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2024-12-18T00:12:54.7035052Z tensor(True) 2024-12-18T00:12:54.7035500Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2024-12-18T00:12:54.7036025Z tensor(True) 2024-12-18T00:12:54.7036468Z >>> torch.unique(a, dim=2) 2024-12-18T00:12:54.7036989Z tensor([[[0, 1], 2024-12-18T00:12:54.7037438Z [0, 1], 2024-12-18T00:12:54.7037879Z [1, 0]], 2024-12-18T00:12:54.7038324Z [[1, 0], 2024-12-18T00:12:54.7038754Z [1, 0], 2024-12-18T00:12:54.7039198Z [1, 1]], 2024-12-18T00:12:54.7039642Z [[0, 1], 2024-12-18T00:12:54.7040079Z [0, 1], 2024-12-18T00:12:54.7040560Z [1, 0]]]) 2024-12-18T00:12:54.7040987Z 2024-12-18T00:12:54.7041698Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7042498Z 2024-12-18T00:12:54.7042858Z warnings.warn(msg) 2024-12-18T00:12:54.7043267Z 2024-12-18T00:12:54.7043867Z --- Parse Warning: 4 / 105 --- 2024-12-18T00:12:54.7045673Z /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. 2024-12-18T00:12:54.7047722Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7048541Z 2024-12-18T00:12:54.7049003Z Load a model from a github repo or a local directory. 2024-12-18T00:12:54.7049604Z 2024-12-18T00:12:54.7050190Z Note: Loading a model is the typical use case, but this can also be used to 2024-12-18T00:12:54.7051165Z for loading other objects such as tokenizers, loss functions, etc. 2024-12-18T00:12:54.7051883Z 2024-12-18T00:12:54.7052359Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2024-12-18T00:12:54.7053128Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2024-12-18T00:12:54.7053791Z ref (a tag or a branch). 2024-12-18T00:12:54.7054240Z 2024-12-18T00:12:54.7054721Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2024-12-18T00:12:54.7055391Z path to a local directory. 2024-12-18T00:12:54.7055844Z 2024-12-18T00:12:54.7056172Z Args: 2024-12-18T00:12:54.7056596Z repo_or_dir (str): If ``source`` is 'github', 2024-12-18T00:12:54.7057516Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2024-12-18T00:12:54.7058925Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2024-12-18T00:12:54.7060108Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2024-12-18T00:12:54.7061121Z If ``source`` is 'local' then it should be a path to a local directory. 2024-12-18T00:12:54.7062019Z model (str): the name of a callable (entrypoint) defined in the 2024-12-18T00:12:54.7062749Z repo/dir's ``hubconf.py``. 2024-12-18T00:12:54.7063462Z *args (optional): the corresponding args for callable ``model``. 2024-12-18T00:12:54.7064319Z source (str, optional): 'github' or 'local'. Specifies how 2024-12-18T00:12:54.7065104Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2024-12-18T00:12:54.7065963Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2024-12-18T00:12:54.7066943Z This parameter was introduced in v1.12 and helps ensuring that users 2024-12-18T00:12:54.7067862Z only run code from repos that they trust. 2024-12-18T00:12:54.7068428Z 2024-12-18T00:12:54.7068952Z - If ``False``, a prompt will ask the user whether the repo should 2024-12-18T00:12:54.7069633Z be trusted. 2024-12-18T00:12:54.7070241Z - If ``True``, the repo will be added to the trusted list and loaded 2024-12-18T00:12:54.7071098Z without requiring explicit confirmation. 2024-12-18T00:12:54.7071821Z - If ``"check"``, the repo will be checked against the list of 2024-12-18T00:12:54.7072686Z trusted repos in the cache. If it is not present in that list, the 2024-12-18T00:12:54.7073591Z behaviour will fall back onto the ``trust_repo=False`` option. 2024-12-18T00:12:54.7074456Z - If ``None``: this will raise a warning, inviting the user to set 2024-12-18T00:12:54.7075304Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2024-12-18T00:12:54.7076197Z is only present for backward compatibility and will be removed in 2024-12-18T00:12:54.7076895Z v2.0. 2024-12-18T00:12:54.7077301Z 2024-12-18T00:12:54.7077834Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2024-12-18T00:12:54.7078761Z force_reload (bool, optional): whether to force a fresh download of 2024-12-18T00:12:54.7079663Z the github repo unconditionally. Does not have any effect if 2024-12-18T00:12:54.7080396Z ``source = 'local'``. Default is ``False``. 2024-12-18T00:12:54.7081124Z verbose (bool, optional): If ``False``, mute messages about hitting 2024-12-18T00:12:54.7082083Z local caches. Note that the message about first download cannot be 2024-12-18T00:12:54.7082934Z muted. Does not have any effect if ``source = 'local'``. 2024-12-18T00:12:54.7083582Z Default is ``True``. 2024-12-18T00:12:54.7084410Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2024-12-18T00:12:54.7085618Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2024-12-18T00:12:54.7086775Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2024-12-18T00:12:54.7087750Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2024-12-18T00:12:54.7088623Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2024-12-18T00:12:54.7089329Z 2024-12-18T00:12:54.7089655Z Returns: 2024-12-18T00:12:54.7090170Z The output of the ``model`` callable when called with the given 2024-12-18T00:12:54.7090852Z ``*args`` and ``**kwargs``. 2024-12-18T00:12:54.7091324Z 2024-12-18T00:12:54.7091640Z Example: 2024-12-18T00:12:54.7092071Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:54.7092641Z >>> # from a github repo 2024-12-18T00:12:54.7093122Z >>> repo = "pytorch/vision" 2024-12-18T00:12:54.7093633Z >>> model = torch.hub.load( 2024-12-18T00:12:54.7094277Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2024-12-18T00:12:54.7094931Z ... ) 2024-12-18T00:12:54.7095300Z >>> # from a local directory 2024-12-18T00:12:54.7095852Z >>> path = "/some/local/path/pytorch/vision" 2024-12-18T00:12:54.7096418Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7097120Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2024-12-18T00:12:54.7097885Z 2024-12-18T00:12:54.7098499Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7099268Z 2024-12-18T00:12:54.7099601Z warnings.warn(msg) 2024-12-18T00:12:54.7100009Z 2024-12-18T00:12:54.7100549Z --- Parse Warning: 5 / 105 --- 2024-12-18T00:12:54.7102435Z /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. 2024-12-18T00:12:54.7104636Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7105556Z Download object at the given URL to a local path. 2024-12-18T00:12:54.7106130Z 2024-12-18T00:12:54.7106496Z Args: 2024-12-18T00:12:54.7106977Z url (str): URL of the object to download 2024-12-18T00:12:54.7107764Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2024-12-18T00:12:54.7108930Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2024-12-18T00:12:54.7109868Z Default: None 2024-12-18T00:12:54.7110595Z progress (bool, optional): whether or not to display a progress bar to stderr 2024-12-18T00:12:54.7111403Z Default: True 2024-12-18T00:12:54.7111836Z 2024-12-18T00:12:54.7112148Z Example: 2024-12-18T00:12:54.7112599Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:54.7113243Z >>> # xdoctest: +REQUIRES(POSIX) 2024-12-18T00:12:54.7113807Z >>> torch.hub.download_url_to_file( 2024-12-18T00:12:54.7114589Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2024-12-18T00:12:54.7115353Z ... "/tmp/temporary_file", 2024-12-18T00:12:54.7115866Z ... ) 2024-12-18T00:12:54.7116236Z 2024-12-18T00:12:54.7116564Z 2024-12-18T00:12:54.7117193Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7117987Z 2024-12-18T00:12:54.7118333Z warnings.warn(msg) 2024-12-18T00:12:54.7118758Z 2024-12-18T00:12:54.7119263Z --- Parse Warning: 6 / 105 --- 2024-12-18T00:12:54.7121181Z /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. 2024-12-18T00:12:54.7123528Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7124450Z Loads the Torch serialized object at the given URL. 2024-12-18T00:12:54.7125043Z 2024-12-18T00:12:54.7125547Z If downloaded file is a zip file, it will be automatically 2024-12-18T00:12:54.7126216Z decompressed. 2024-12-18T00:12:54.7126611Z 2024-12-18T00:12:54.7127159Z If the object is already present in `model_dir`, it's deserialized and 2024-12-18T00:12:54.7127888Z returned. 2024-12-18T00:12:54.7128485Z The default value of ``model_dir`` is ``/checkpoints`` where 2024-12-18T00:12:54.7129386Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2024-12-18T00:12:54.7130066Z 2024-12-18T00:12:54.7130385Z Args: 2024-12-18T00:12:54.7130809Z url (str): URL of the object to download 2024-12-18T00:12:54.7131559Z model_dir (str, optional): directory in which to save the object 2024-12-18T00:12:54.7132712Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2024-12-18T00:12:54.7133973Z progress (bool, optional): whether or not to display a progress bar to stderr. 2024-12-18T00:12:54.7134787Z Default: True 2024-12-18T00:12:54.7135651Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2024-12-18T00:12:54.7136797Z ``filename-.ext`` where ```` is the first eight or more 2024-12-18T00:12:54.7137766Z digits of the SHA256 hash of the contents of the file. The hash is used to 2024-12-18T00:12:54.7138701Z ensure unique names and to verify the contents of the file. 2024-12-18T00:12:54.7139454Z Default: False 2024-12-18T00:12:54.7140343Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2024-12-18T00:12:54.7141692Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2024-12-18T00:12:54.7142925Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2024-12-18T00:12:54.7143796Z 2024-12-18T00:12:54.7144137Z Example: 2024-12-18T00:12:54.7144608Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2024-12-18T00:12:54.7145291Z >>> state_dict = torch.hub.load_state_dict_from_url( 2024-12-18T00:12:54.7146121Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2024-12-18T00:12:54.7146848Z ... ) 2024-12-18T00:12:54.7147223Z 2024-12-18T00:12:54.7147553Z 2024-12-18T00:12:54.7148184Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7148981Z 2024-12-18T00:12:54.7149332Z warnings.warn(msg) 2024-12-18T00:12:54.7149754Z 2024-12-18T00:12:54.7150307Z --- Parse Warning: 7 / 105 --- 2024-12-18T00:12:54.7152225Z /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=360. 2024-12-18T00:12:54.7154373Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7155435Z Registers the function implementation as the fallback for the given key. 2024-12-18T00:12:54.7156211Z 2024-12-18T00:12:54.7156784Z This function only works for a library with global namespace ("_"). 2024-12-18T00:12:54.7157517Z 2024-12-18T00:12:54.7157841Z Args: 2024-12-18T00:12:54.7158696Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2024-12-18T00:12:54.7159590Z to register a fallthrough. 2024-12-18T00:12:54.7160555Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2024-12-18T00:12:54.7161676Z the dispatch key that the library was created with. 2024-12-18T00:12:54.7162825Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2024-12-18T00:12:54.7164229Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2024-12-18T00:12:54.7165135Z 2024-12-18T00:12:54.7165490Z Example:: 2024-12-18T00:12:54.7165931Z >>> my_lib = Library("_", "IMPL") 2024-12-18T00:12:54.7166541Z >>> def fallback_kernel(op, *args, **kwargs): 2024-12-18T00:12:54.7167170Z >>> # Handle all autocast ops generically 2024-12-18T00:12:54.7167745Z >>> # ... 2024-12-18T00:12:54.7168282Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2024-12-18T00:12:54.7168877Z 2024-12-18T00:12:54.7170199Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2024-12-18T00:12:54.7171648Z 2024-12-18T00:12:54.7172054Z my_lib.fallback(fallback_kernel, "Autocast") 2024-12-18T00:12:54.7172626Z ^ 2024-12-18T00:12:54.7172981Z warnings.warn(msg) 2024-12-18T00:12:54.7173408Z 2024-12-18T00:12:54.7173912Z --- Parse Warning: 8 / 105 --- 2024-12-18T00:12:54.7175805Z /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=725. 2024-12-18T00:12:54.7177999Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7179043Z Register a FakeTensor implementation ("fake impl") for this operator. 2024-12-18T00:12:54.7179793Z 2024-12-18T00:12:54.7180291Z Also sometimes known as a "meta kernel", "abstract impl". 2024-12-18T00:12:54.7180930Z 2024-12-18T00:12:54.7181535Z An "FakeTensor implementation" specifies the behavior of this operator on 2024-12-18T00:12:54.7182646Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2024-12-18T00:12:54.7183660Z certain properties (sizes/strides/storage_offset/device), it specifies 2024-12-18T00:12:54.7184529Z what the properties of the output Tensors are. 2024-12-18T00:12:54.7185102Z 2024-12-18T00:12:54.7185683Z The FakeTensor implementation has the same signature as the operator. 2024-12-18T00:12:54.7186661Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2024-12-18T00:12:54.7187623Z implementation, assume that all Tensor inputs to the operator are 2024-12-18T00:12:54.7188567Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2024-12-18T00:12:54.7189524Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2024-12-18T00:12:54.7190484Z The FakeTensor implementation must consist of only PyTorch operations 2024-12-18T00:12:54.7191443Z (and may not directly access the storage or data of any input or 2024-12-18T00:12:54.7192165Z intermediate Tensors). 2024-12-18T00:12:54.7192628Z 2024-12-18T00:12:54.7193084Z This API may be used as a decorator (see examples). 2024-12-18T00:12:54.7193678Z 2024-12-18T00:12:54.7194110Z For a detailed guide on custom ops, please see 2024-12-18T00:12:54.7194945Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2024-12-18T00:12:54.7195688Z 2024-12-18T00:12:54.7196022Z Examples: 2024-12-18T00:12:54.7196397Z >>> import torch 2024-12-18T00:12:54.7196876Z >>> import numpy as np 2024-12-18T00:12:54.7197396Z >>> from torch import Tensor 2024-12-18T00:12:54.7197909Z >>> 2024-12-18T00:12:54.7198452Z >>> # Example 1: an operator without data-dependent output shape 2024-12-18T00:12:54.7199336Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2024-12-18T00:12:54.7200297Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2024-12-18T00:12:54.7201195Z >>> raise NotImplementedError("Implementation goes here") 2024-12-18T00:12:54.7201953Z >>> 2024-12-18T00:12:54.7202472Z >>> @torch.library.register_fake("mylib::custom_linear") 2024-12-18T00:12:54.7203133Z >>> def _(x, weight, bias): 2024-12-18T00:12:54.7203649Z >>> assert x.dim() == 2 2024-12-18T00:12:54.7204193Z >>> assert weight.dim() == 2 2024-12-18T00:12:54.7204745Z >>> assert bias.dim() == 1 2024-12-18T00:12:54.7205322Z >>> assert x.shape[1] == weight.shape[1] 2024-12-18T00:12:54.7205948Z >>> assert weight.shape[0] == bias.shape[0] 2024-12-18T00:12:54.7206564Z >>> assert x.device == weight.device 2024-12-18T00:12:54.7207104Z >>> 2024-12-18T00:12:54.7207517Z >>> return (x @ weight.t()) + bias 2024-12-18T00:12:54.7208054Z >>> 2024-12-18T00:12:54.7208574Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2024-12-18T00:12:54.7209242Z >>> x = torch.randn(2, 3) 2024-12-18T00:12:54.7209787Z >>> w = torch.randn(3, 3) 2024-12-18T00:12:54.7210327Z >>> b = torch.randn(3) 2024-12-18T00:12:54.7210922Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2024-12-18T00:12:54.7211504Z >>> 2024-12-18T00:12:54.7211899Z >>> assert y.shape == (2, 3) 2024-12-18T00:12:54.7212407Z >>> 2024-12-18T00:12:54.7212999Z >>> # Example 2: an operator with data-dependent output shape 2024-12-18T00:12:54.7213892Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2024-12-18T00:12:54.7214700Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2024-12-18T00:12:54.7215317Z >>> x_np = x.numpy(force=True) 2024-12-18T00:12:54.7215915Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2024-12-18T00:12:54.7216646Z >>> return torch.tensor(res, device=x.device) 2024-12-18T00:12:54.7217234Z >>> 2024-12-18T00:12:54.7217757Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2024-12-18T00:12:54.7218424Z >>> def _(x): 2024-12-18T00:12:54.7218947Z >>> # Number of nonzero-elements is data-dependent. 2024-12-18T00:12:54.7219675Z >>> # Since we cannot peek at the data in an fake impl, 2024-12-18T00:12:54.7220418Z >>> # we use the ctx object to construct a new symint that 2024-12-18T00:12:54.7221121Z >>> # represents the data-dependent size. 2024-12-18T00:12:54.7221738Z >>> ctx = torch.library.get_ctx() 2024-12-18T00:12:54.7222355Z >>> nnz = ctx.new_dynamic_size() 2024-12-18T00:12:54.7222933Z >>> shape = [nnz, x.dim()] 2024-12-18T00:12:54.7223565Z >>> result = x.new_empty(shape, dtype=torch.int64) 2024-12-18T00:12:54.7224203Z >>> return result 2024-12-18T00:12:54.7224685Z >>> 2024-12-18T00:12:54.7225206Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-12-18T00:12:54.7225864Z >>> 2024-12-18T00:12:54.7226283Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2024-12-18T00:12:54.7227090Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2024-12-18T00:12:54.7227914Z >>> trace.print_readable() 2024-12-18T00:12:54.7228428Z >>> 2024-12-18T00:12:54.7229022Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2024-12-18T00:12:54.7229757Z 2024-12-18T00:12:54.7230082Z 2024-12-18T00:12:54.7231217Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2024-12-18T00:12:54.7232493Z 2024-12-18T00:12:54.7232813Z _._ = None 2024-12-18T00:12:54.7233182Z ^ 2024-12-18T00:12:54.7233546Z warnings.warn(msg) 2024-12-18T00:12:54.7233973Z 2024-12-18T00:12:54.7234491Z --- Parse Warning: 9 / 105 --- 2024-12-18T00:12:54.7236429Z /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=846. 2024-12-18T00:12:54.7238613Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7239539Z Register a backward formula for this custom op. 2024-12-18T00:12:54.7240138Z 2024-12-18T00:12:54.7240677Z In order for an operator to work with autograd, you need to register 2024-12-18T00:12:54.7241397Z a backward formula: 2024-12-18T00:12:54.7242127Z 1. You must tell us how to compute gradients during the backward pass 2024-12-18T00:12:54.7242905Z by providing us a "backward" function. 2024-12-18T00:12:54.7243686Z 2. If you need any values from the forward to compute gradients, you can 2024-12-18T00:12:54.7244515Z use `setup_context` to save values for backward. 2024-12-18T00:12:54.7245103Z 2024-12-18T00:12:54.7245670Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2024-12-18T00:12:54.7246610Z - ``grads`` is one or more gradients. The number of gradients matches 2024-12-18T00:12:54.7247373Z the number of outputs of the operator. 2024-12-18T00:12:54.7248151Z The ``ctx`` object is `the same ctx object `_ used by 2024-12-18T00:12:54.7249225Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2024-12-18T00:12:54.7250119Z same as :meth:`torch.autograd.Function.backward`. 2024-12-18T00:12:54.7250735Z 2024-12-18T00:12:54.7251299Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2024-12-18T00:12:54.7252336Z Please save quantities needed for backward onto the ``ctx`` object via 2024-12-18T00:12:54.7253393Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2024-12-18T00:12:54.7254360Z or assigning them as attributes of ``ctx``. If your custom op has 2024-12-18T00:12:54.7255272Z kwarg-only arguments, we expect the signature of ``setup_context`` 2024-12-18T00:12:54.7256190Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2024-12-18T00:12:54.7256878Z 2024-12-18T00:12:54.7257447Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2024-12-18T00:12:54.7258576Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2024-12-18T00:12:54.7259639Z not depend on or mutate global state. If you need a non-traceable backward, 2024-12-18T00:12:54.7260653Z you can make it a separate custom_op that you call inside ``backward_fn``. 2024-12-18T00:12:54.7261394Z 2024-12-18T00:12:54.7261970Z If you need different autograd behavior on different devices, then we 2024-12-18T00:12:54.7262977Z recommend creating two different custom operators, one for each device 2024-12-18T00:12:54.7263975Z that needs different behavior, and switching between them at runtime. 2024-12-18T00:12:54.7264705Z 2024-12-18T00:12:54.7265044Z Examples: 2024-12-18T00:12:54.7265441Z >>> import torch 2024-12-18T00:12:54.7265914Z >>> import numpy as np 2024-12-18T00:12:54.7266436Z >>> from torch import Tensor 2024-12-18T00:12:54.7266940Z >>> 2024-12-18T00:12:54.7267528Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2024-12-18T00:12:54.7268284Z >>> def numpy_sin(x: Tensor) -> Tensor: 2024-12-18T00:12:54.7268869Z >>> x_np = x.cpu().numpy() 2024-12-18T00:12:54.7269415Z >>> y_np = np.sin(x_np) 2024-12-18T00:12:54.7270025Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-12-18T00:12:54.7270651Z >>> 2024-12-18T00:12:54.7271143Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2024-12-18T00:12:54.7271772Z >>> x, = inputs 2024-12-18T00:12:54.7272267Z >>> ctx.save_for_backward(x) 2024-12-18T00:12:54.7272776Z >>> 2024-12-18T00:12:54.7273184Z >>> def backward(ctx, grad): 2024-12-18T00:12:54.7273732Z >>> x, = ctx.saved_tensors 2024-12-18T00:12:54.7274274Z >>> return grad * x.cos() 2024-12-18T00:12:54.7274786Z >>> 2024-12-18T00:12:54.7275203Z >>> torch.library.register_autograd( 2024-12-18T00:12:54.7275918Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2024-12-18T00:12:54.7276588Z ... ) 2024-12-18T00:12:54.7276967Z >>> 2024-12-18T00:12:54.7277406Z >>> x = torch.randn(3, requires_grad=True) 2024-12-18T00:12:54.7277969Z >>> y = numpy_sin(x) 2024-12-18T00:12:54.7278592Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-12-18T00:12:54.7279309Z >>> assert torch.allclose(grad_x, x.cos()) 2024-12-18T00:12:54.7279869Z >>> 2024-12-18T00:12:54.7280303Z >>> # Example with a keyword-only arg 2024-12-18T00:12:54.7281041Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-12-18T00:12:54.7281938Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2024-12-18T00:12:54.7282585Z >>> x_np = x.cpu().numpy() 2024-12-18T00:12:54.7283198Z >>> y_np = x_np * val 2024-12-18T00:12:54.7283817Z >>> return torch.from_numpy(y_np).to(device=x.device) 2024-12-18T00:12:54.7284448Z >>> 2024-12-18T00:12:54.7285057Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2024-12-18T00:12:54.7285887Z >>> ctx.val = keyword_only_inputs["val"] 2024-12-18T00:12:54.7286452Z >>> 2024-12-18T00:12:54.7286950Z >>> def backward(ctx, grad): 2024-12-18T00:12:54.7287512Z >>> return grad * ctx.val 2024-12-18T00:12:54.7288007Z >>> 2024-12-18T00:12:54.7288438Z >>> torch.library.register_autograd( 2024-12-18T00:12:54.7289147Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2024-12-18T00:12:54.7289808Z ... ) 2024-12-18T00:12:54.7290190Z >>> 2024-12-18T00:12:54.7290608Z >>> x = torch.randn(3, requires_grad=True) 2024-12-18T00:12:54.7291192Z >>> y = numpy_mul(x, val=3.14) 2024-12-18T00:12:54.7291853Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2024-12-18T00:12:54.7292689Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2024-12-18T00:12:54.7293335Z 2024-12-18T00:12:54.7293651Z 2024-12-18T00:12:54.7294287Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7295083Z 2024-12-18T00:12:54.7295435Z warnings.warn(msg) 2024-12-18T00:12:54.7295861Z 2024-12-18T00:12:54.7296388Z --- Parse Warning: 10 / 105 --- 2024-12-18T00:12:54.7298273Z /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=1258. 2024-12-18T00:12:54.7300390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7301437Z Given an operator and some sample arguments, tests if the operator is 2024-12-18T00:12:54.7302192Z registered correctly. 2024-12-18T00:12:54.7302649Z 2024-12-18T00:12:54.7303184Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2024-12-18T00:12:54.7304174Z custom op, you specified metadata (e.g. mutability info) about the custom op 2024-12-18T00:12:54.7305201Z and these APIs require that the functions you pass them satisfy certain 2024-12-18T00:12:54.7306195Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2024-12-18T00:12:54.7307063Z ``opcheck`` tests these metadata and properties. 2024-12-18T00:12:54.7307633Z 2024-12-18T00:12:54.7308014Z Concretely, we test the following: 2024-12-18T00:12:54.7308540Z 2024-12-18T00:12:54.7309031Z - test_schema: If the schema matches the implementation of 2024-12-18T00:12:54.7309937Z the operator. For example: if the schema specifies a Tensor is mutated, 2024-12-18T00:12:54.7310888Z then we check the implementation mutates the Tensor. If the schema 2024-12-18T00:12:54.7311786Z specifies that we return a new Tensor, then we check that the 2024-12-18T00:12:54.7312710Z implementation returns a new Tensor (instead of an existing one or 2024-12-18T00:12:54.7313487Z a view of an existing one). 2024-12-18T00:12:54.7314196Z - test_autograd_registration: If the operator supports training 2024-12-18T00:12:54.7315093Z (autograd): we check that its autograd formula is registered via 2024-12-18T00:12:54.7316001Z torch.library.register_autograd or a manual registration to one 2024-12-18T00:12:54.7316926Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2024-12-18T00:12:54.7317724Z registrations may lead to undefined behavior. 2024-12-18T00:12:54.7318477Z - test_faketensor: If the operator has a FakeTensor kernel 2024-12-18T00:12:54.7319291Z (and if it is correct). The FakeTensor kernel is necessary ( 2024-12-18T00:12:54.7320219Z but not sufficient) for the operator to work with PyTorch compilation 2024-12-18T00:12:54.7321167Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2024-12-18T00:12:54.7322155Z (also sometimes known as a meta kernel) was registered for the 2024-12-18T00:12:54.7323033Z operator and that it is correct. This test takes the result of 2024-12-18T00:12:54.7323989Z running the operator on real tensors and the result of running 2024-12-18T00:12:54.7324873Z the operator on FakeTensors and checks that they have the same 2024-12-18T00:12:54.7325661Z Tensor metadata (sizes/strides/dtype/device/etc). 2024-12-18T00:12:54.7326470Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2024-12-18T00:12:54.7327331Z with PyTorch compilation APIs (torch.compile/export/FX). 2024-12-18T00:12:54.7328209Z This checks that the outputs (and gradients, if applicable) are the 2024-12-18T00:12:54.7329038Z same under eager-mode PyTorch and torch.compile. 2024-12-18T00:12:54.7329866Z This test is a superset of ``test_faketensor`` and is an e2e test; 2024-12-18T00:12:54.7330675Z other things it tests are that the operator supports 2024-12-18T00:12:54.7331530Z functionalization and that the backward pass (if it exists) also 2024-12-18T00:12:54.7332353Z supports FakeTensor and functionalization. 2024-12-18T00:12:54.7332928Z 2024-12-18T00:12:54.7333445Z For best results, please call ``opcheck`` multiple times with a 2024-12-18T00:12:54.7334293Z representative set of inputs. If your operator supports 2024-12-18T00:12:54.7335216Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2024-12-18T00:12:54.7336223Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2024-12-18T00:12:54.7337098Z use ``opcheck`` with inputs on all supported devices. 2024-12-18T00:12:54.7337706Z 2024-12-18T00:12:54.7338038Z Args: 2024-12-18T00:12:54.7338543Z op: The operator. Must either be a function decorated with 2024-12-18T00:12:54.7339426Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2024-12-18T00:12:54.7340368Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2024-12-18T00:12:54.7341149Z args: The args to the operator 2024-12-18T00:12:54.7341728Z kwargs: The kwargs to the operator 2024-12-18T00:12:54.7342425Z test_utils: Tests that we should run. Default: all of them. 2024-12-18T00:12:54.7343178Z Example: ("test_schema", "test_faketensor") 2024-12-18T00:12:54.7343951Z raise_exception: If we should raise an exception on the first 2024-12-18T00:12:54.7344790Z error. If False, we will return a dict with information 2024-12-18T00:12:54.7345490Z on if each test passed or not. 2024-12-18T00:12:54.7346029Z 2024-12-18T00:12:54.7346364Z .. warning:: 2024-12-18T00:12:54.7346768Z 2024-12-18T00:12:54.7347334Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2024-12-18T00:12:54.7348289Z opcheck tests if your usage of torch.library APIs is correct while 2024-12-18T00:12:54.7349232Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2024-12-18T00:12:54.7350190Z mathematically correct. Use both to test custom ops that support 2024-12-18T00:12:54.7350964Z gradient computation. 2024-12-18T00:12:54.7351448Z 2024-12-18T00:12:54.7351792Z Example: 2024-12-18T00:12:54.7352172Z 2024-12-18T00:12:54.7352584Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.7353383Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2024-12-18T00:12:54.7354187Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2024-12-18T00:12:54.7354871Z >>> x_np = x.numpy(force=True) 2024-12-18T00:12:54.7355424Z >>> z_np = x_np * y 2024-12-18T00:12:54.7355986Z >>> return torch.from_numpy(z_np).to(x.device) 2024-12-18T00:12:54.7356568Z >>> 2024-12-18T00:12:54.7356977Z >>> @numpy_mul.register_fake 2024-12-18T00:12:54.7357510Z >>> def _(x, y): 2024-12-18T00:12:54.7358236Z >>> return torch.empty_like(x) 2024-12-18T00:12:54.7358762Z >>> 2024-12-18T00:12:54.7359205Z >>> def setup_context(ctx, inputs, output): 2024-12-18T00:12:54.7359779Z >>> y, = inputs 2024-12-18T00:12:54.7360240Z >>> ctx.y = y 2024-12-18T00:12:54.7360686Z >>> 2024-12-18T00:12:54.7361079Z >>> def backward(ctx, grad): 2024-12-18T00:12:54.7361698Z >>> return grad * ctx.y, None 2024-12-18T00:12:54.7362222Z >>> 2024-12-18T00:12:54.7362834Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2024-12-18T00:12:54.7363589Z >>> 2024-12-18T00:12:54.7363973Z >>> sample_inputs = [ 2024-12-18T00:12:54.7364533Z >>> (torch.randn(3), 3.14), 2024-12-18T00:12:54.7365121Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2024-12-18T00:12:54.7365805Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2024-12-18T00:12:54.7366591Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2024-12-18T00:12:54.7367263Z >>> ] 2024-12-18T00:12:54.7367643Z >>> 2024-12-18T00:12:54.7368056Z >>> for args in sample_inputs: 2024-12-18T00:12:54.7368669Z >>> torch.library.opcheck(numpy_mul, args) 2024-12-18T00:12:54.7369237Z 2024-12-18T00:12:54.7369560Z 2024-12-18T00:12:54.7370212Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7371008Z 2024-12-18T00:12:54.7371372Z warnings.warn(msg) 2024-12-18T00:12:54.7371798Z 2024-12-18T00:12:54.7372324Z --- Parse Warning: 11 / 105 --- 2024-12-18T00:12:54.7373816Z /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=1226. 2024-12-18T00:12:54.7374277Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7374869Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2024-12-18T00:12:54.7375007Z 2024-12-18T00:12:54.7375323Z Loads an object saved with :func:`torch.save` from a file. 2024-12-18T00:12:54.7375463Z 2024-12-18T00:12:54.7375861Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2024-12-18T00:12:54.7376268Z which underlie tensors, specially. They are first deserialized on the 2024-12-18T00:12:54.7376638Z CPU and are then moved to the device they were saved from. If this fails 2024-12-18T00:12:54.7377057Z (e.g. because the run time system doesn't have certain devices), an exception 2024-12-18T00:12:54.7377469Z is raised. However, storages can be dynamically remapped to an alternative 2024-12-18T00:12:54.7377763Z set of devices using the :attr:`map_location` argument. 2024-12-18T00:12:54.7377908Z 2024-12-18T00:12:54.7378327Z If :attr:`map_location` is a callable, it will be called once for each serialized 2024-12-18T00:12:54.7378728Z storage with two arguments: storage and location. The storage argument 2024-12-18T00:12:54.7379126Z will be the initial deserialization of the storage, residing on the CPU. 2024-12-18T00:12:54.7379512Z Each serialized storage has a location tag associated with it which 2024-12-18T00:12:54.7379876Z identifies the device it was saved from, and this tag is the second 2024-12-18T00:12:54.7380403Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2024-12-18T00:12:54.7380784Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2024-12-18T00:12:54.7381128Z :attr:`map_location` should return either ``None`` or a storage. If 2024-12-18T00:12:54.7381580Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2024-12-18T00:12:54.7382077Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2024-12-18T00:12:54.7382509Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2024-12-18T00:12:54.7382648Z 2024-12-18T00:12:54.7383061Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2024-12-18T00:12:54.7383464Z a device tag, it indicates the location where all tensors should be loaded. 2024-12-18T00:12:54.7383599Z 2024-12-18T00:12:54.7384051Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2024-12-18T00:12:54.7384409Z appearing in the file (keys), to ones that specify where to put the 2024-12-18T00:12:54.7384617Z storages (values). 2024-12-18T00:12:54.7384752Z 2024-12-18T00:12:54.7385142Z User extensions can register their own location tags and tagging and 2024-12-18T00:12:54.7385603Z deserialization methods using :func:`torch.serialization.register_package`. 2024-12-18T00:12:54.7385742Z 2024-12-18T00:12:54.7385892Z Args: 2024-12-18T00:12:54.7386441Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2024-12-18T00:12:54.7386745Z or a string or os.PathLike object containing a file name 2024-12-18T00:12:54.7387301Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2024-12-18T00:12:54.7387466Z locations 2024-12-18T00:12:54.7387862Z pickle_module: module used for unpickling metadata and objects (has to 2024-12-18T00:12:54.7388149Z match the :attr:`pickle_module` used to serialize file) 2024-12-18T00:12:54.7388531Z weights_only: Indicates whether unpickler should be restricted to 2024-12-18T00:12:54.7388798Z loading only tensors, primitive types, dictionaries 2024-12-18T00:12:54.7389190Z and any types added via :func:`torch.serialization.add_safe_globals`. 2024-12-18T00:12:54.7389415Z See :ref:`weights-only` for more details. 2024-12-18T00:12:54.7390010Z mmap: Indicates whether the file should be mmaped rather than loading all the storages into memory. 2024-12-18T00:12:54.7390605Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2024-12-18T00:12:54.7391192Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2024-12-18T00:12:54.7391778Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2024-12-18T00:12:54.7392200Z tensor storages from disk to CPU memory in the first step, ``f`` is mmaped. 2024-12-18T00:12:54.7392630Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2024-12-18T00:12:54.7393016Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2024-12-18T00:12:54.7393195Z :attr:`errors=...`. 2024-12-18T00:12:54.7393332Z 2024-12-18T00:12:54.7393501Z .. warning:: 2024-12-18T00:12:54.7393861Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2024-12-18T00:12:54.7394198Z uses ``pickle`` module implicitly, which is known to be insecure. 2024-12-18T00:12:54.7394689Z It is possible to construct malicious pickle data which will execute arbitrary code 2024-12-18T00:12:54.7395139Z during unpickling. Never load data that could have come from an untrusted 2024-12-18T00:12:54.7395663Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2024-12-18T00:12:54.7395805Z 2024-12-18T00:12:54.7395966Z .. note:: 2024-12-18T00:12:54.7396407Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2024-12-18T00:12:54.7396914Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2024-12-18T00:12:54.7397393Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2024-12-18T00:12:54.7397531Z 2024-12-18T00:12:54.7397689Z .. note:: 2024-12-18T00:12:54.7398116Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2024-12-18T00:12:54.7398502Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2024-12-18T00:12:54.7398859Z when loading files saved by Python 2 in Python 3. If this default 2024-12-18T00:12:54.7399349Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2024-12-18T00:12:54.7399774Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2024-12-18T00:12:54.7400179Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2024-12-18T00:12:54.7400590Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2024-12-18T00:12:54.7400729Z 2024-12-18T00:12:54.7400888Z Example: 2024-12-18T00:12:54.7401109Z >>> # xdoctest: +SKIP("undefined filepaths") 2024-12-18T00:12:54.7401343Z >>> torch.load("tensors.pt", weights_only=True) 2024-12-18T00:12:54.7401607Z # Load all tensors onto the CPU 2024-12-18T00:12:54.7402043Z >>> torch.load("tensors.pt", map_location=torch.device("cpu"), weights_only=True) 2024-12-18T00:12:54.7402309Z # Load all tensors onto the CPU, using a function 2024-12-18T00:12:54.7402468Z >>> torch.load( 2024-12-18T00:12:54.7402900Z ... "tensors.pt", map_location=lambda storage, loc: storage, weights_only=True 2024-12-18T00:12:54.7403047Z ... ) 2024-12-18T00:12:54.7403234Z # Load all tensors onto GPU 1 2024-12-18T00:12:54.7403414Z >>> torch.load( 2024-12-18T00:12:54.7403580Z ... "tensors.pt", 2024-12-18T00:12:54.7403875Z ... map_location=lambda storage, loc: storage.cuda(1), 2024-12-18T00:12:54.7404050Z ... weights_only=True, 2024-12-18T00:12:54.7404239Z ... ) # type: ignore[attr-defined] 2024-12-18T00:12:54.7404444Z # Map tensors from GPU 1 to GPU 0 2024-12-18T00:12:54.7404861Z >>> torch.load("tensors.pt", map_location={"cuda:1": "cuda:0"}, weights_only=True) 2024-12-18T00:12:54.7405074Z # Load tensor from io.BytesIO object 2024-12-18T00:12:54.7405514Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2024-12-18T00:12:54.7405730Z >>> with open("tensor.pt", "rb") as f: 2024-12-18T00:12:54.7405924Z ... buffer = io.BytesIO(f.read()) 2024-12-18T00:12:54.7406141Z >>> torch.load(buffer, weights_only=False) 2024-12-18T00:12:54.7406412Z # Load a module with 'ascii' encoding for unpickling 2024-12-18T00:12:54.7406848Z # Loading from a module setting weights_only=False, warning this can be unsafe 2024-12-18T00:12:54.7407190Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2024-12-18T00:12:54.7407332Z 2024-12-18T00:12:54.7407785Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7407932Z 2024-12-18T00:12:54.7408099Z warnings.warn(msg) 2024-12-18T00:12:54.7408252Z 2024-12-18T00:12:54.7408590Z --- Parse Warning: 12 / 105 --- 2024-12-18T00:12:54.7410226Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py line=21. 2024-12-18T00:12:54.7410657Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7411035Z Check if there is an available :ref:`accelerator`. 2024-12-18T00:12:54.7411206Z 2024-12-18T00:12:54.7411354Z Returns: 2024-12-18T00:12:54.7411846Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2024-12-18T00:12:54.7411982Z 2024-12-18T00:12:54.7412148Z Example:: 2024-12-18T00:12:54.7412286Z 2024-12-18T00:12:54.7412750Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:54.7412905Z 2024-12-18T00:12:54.7413881Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2024-12-18T00:12:54.7414037Z 2024-12-18T00:12:54.7414595Z assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:54.7414769Z ^ 2024-12-18T00:12:54.7414934Z warnings.warn(msg) 2024-12-18T00:12:54.7415070Z 2024-12-18T00:12:54.7415396Z --- Parse Warning: 13 / 105 --- 2024-12-18T00:12:54.7416994Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/accelerator/__init__.py line=110. 2024-12-18T00:12:54.7417433Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7417788Z Wait for all kernels in all streams on the given device to complete. 2024-12-18T00:12:54.7417943Z 2024-12-18T00:12:54.7418084Z Args: 2024-12-18T00:12:54.7418630Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2024-12-18T00:12:54.7419039Z the current :ref:`accelerator` device type. If not given, 2024-12-18T00:12:54.7419357Z use :func:`torch.accelerator.current_device_idx` by default. 2024-12-18T00:12:54.7419515Z 2024-12-18T00:12:54.7420052Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2024-12-18T00:12:54.7420204Z 2024-12-18T00:12:54.7420356Z Example:: 2024-12-18T00:12:54.7420492Z 2024-12-18T00:12:54.7420738Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.7421203Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:54.7421455Z >>> start_event = torch.Event(enable_timing=True) 2024-12-18T00:12:54.7421686Z >>> end_event = torch.Event(enable_timing=True) 2024-12-18T00:12:54.7421869Z >>> start_event.record() 2024-12-18T00:12:54.7422284Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2024-12-18T00:12:54.7422453Z >>> sum = torch.sum(tensor) 2024-12-18T00:12:54.7422633Z >>> end_event.record() 2024-12-18T00:12:54.7422845Z >>> torch.accelerator.synchronize() 2024-12-18T00:12:54.7423149Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2024-12-18T00:12:54.7423288Z 2024-12-18T00:12:54.7424279Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2024-12-18T00:12:54.7424422Z 2024-12-18T00:12:54.7424872Z assert torch.accelerator.is_available() "No available accelerators detected." 2024-12-18T00:12:54.7425048Z ^ 2024-12-18T00:12:54.7425246Z warnings.warn(msg) 2024-12-18T00:12:54.7425394Z 2024-12-18T00:12:54.7425708Z --- Parse Warning: 14 / 105 --- 2024-12-18T00:12:54.7427193Z /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=343. 2024-12-18T00:12:54.7427716Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7427921Z Retrieves the CUDA runtime API module. 2024-12-18T00:12:54.7428076Z 2024-12-18T00:12:54.7428212Z 2024-12-18T00:12:54.7428659Z This function initializes the CUDA runtime environment if it is not already 2024-12-18T00:12:54.7429060Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2024-12-18T00:12:54.7429451Z runtime API module provides access to various CUDA runtime functions. 2024-12-18T00:12:54.7429608Z 2024-12-18T00:12:54.7429751Z Args: 2024-12-18T00:12:54.7429916Z ``None`` 2024-12-18T00:12:54.7430056Z 2024-12-18T00:12:54.7430214Z Returns: 2024-12-18T00:12:54.7430507Z module: The CUDA runtime API module (_cudart). 2024-12-18T00:12:54.7430649Z 2024-12-18T00:12:54.7430803Z Raises: 2024-12-18T00:12:54.7431201Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2024-12-18T00:12:54.7431849Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2024-12-18T00:12:54.7431986Z 2024-12-18T00:12:54.7432212Z Example of CUDA operations with profiling: 2024-12-18T00:12:54.7432387Z >>> import torch 2024-12-18T00:12:54.7432617Z >>> from torch.cuda import cudart, check_error 2024-12-18T00:12:54.7432784Z >>> import os 2024-12-18T00:12:54.7432930Z >>> 2024-12-18T00:12:54.7433149Z >>> os.environ['CUDA_PROFILE'] = '1' 2024-12-18T00:12:54.7433296Z >>> 2024-12-18T00:12:54.7433529Z >>> def perform_cuda_operations_with_streams(): 2024-12-18T00:12:54.7433734Z >>> stream = torch.cuda.Stream() 2024-12-18T00:12:54.7433939Z >>> with torch.cuda.stream(stream): 2024-12-18T00:12:54.7434166Z >>> x = torch.randn(100, 100, device='cuda') 2024-12-18T00:12:54.7434381Z >>> y = torch.randn(100, 100, device='cuda') 2024-12-18T00:12:54.7434558Z >>> z = torch.mul(x, y) 2024-12-18T00:12:54.7434728Z >>> return z 2024-12-18T00:12:54.7434868Z >>> 2024-12-18T00:12:54.7435071Z >>> torch.cuda.synchronize() 2024-12-18T00:12:54.7435295Z >>> print("====== Start nsys profiling ======") 2024-12-18T00:12:54.7435534Z >>> check_error(cudart().cudaProfilerStart()) 2024-12-18T00:12:54.7435770Z >>> with torch.autograd.profiler.emit_nvtx(): 2024-12-18T00:12:54.7436030Z >>> result = perform_cuda_operations_with_streams() 2024-12-18T00:12:54.7436263Z >>> print("CUDA operations completed.") 2024-12-18T00:12:54.7436542Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2024-12-18T00:12:54.7436772Z >>> print("====== End nsys profiling ======") 2024-12-18T00:12:54.7436910Z 2024-12-18T00:12:54.7437247Z To run this example and save the profiling information, execute: 2024-12-18T00:12:54.7437887Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-12-18T00:12:54.7438027Z 2024-12-18T00:12:54.7438474Z This command profiles the CUDA operations in the provided script and saves 2024-12-18T00:12:54.7438814Z the profiling information to a file named `trace_name.prof`. 2024-12-18T00:12:54.7439230Z The `--profile-from-start off` option ensures that profiling starts only 2024-12-18T00:12:54.7439481Z after the `cudaProfilerStart` call in the script. 2024-12-18T00:12:54.7439894Z The `--csv` and `--print-summary` options format the profiling output as a 2024-12-18T00:12:54.7440130Z CSV file and print a summary, respectively. 2024-12-18T00:12:54.7440553Z The `-o` option specifies the output file name, and the `-f` option forces the 2024-12-18T00:12:54.7440824Z overwrite of the output file if it already exists. 2024-12-18T00:12:54.7441024Z 2024-12-18T00:12:54.7442247Z 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)) 2024-12-18T00:12:54.7442387Z 2024-12-18T00:12:54.7443011Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2024-12-18T00:12:54.7443150Z ^ 2024-12-18T00:12:54.7443317Z warnings.warn(msg) 2024-12-18T00:12:54.7443469Z 2024-12-18T00:12:54.7443796Z --- Parse Warning: 15 / 105 --- 2024-12-18T00:12:54.7445379Z /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. 2024-12-18T00:12:54.7445833Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7445993Z 2024-12-18T00:12:54.7446387Z Append the given callback function to this ``Future``, which will be run 2024-12-18T00:12:54.7446742Z when the ``Future`` is completed. Multiple callbacks can be added to 2024-12-18T00:12:54.7447108Z the same ``Future``, but the order in which they will be executed cannot 2024-12-18T00:12:54.7447418Z be guaranteed (to enforce a certain order consider chaining: 2024-12-18T00:12:54.7447773Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2024-12-18T00:12:54.7448128Z is the reference to this ``Future``. The callback function can use the 2024-12-18T00:12:54.7448493Z :meth:`value` method to get the value. Note that if this ``Future`` is 2024-12-18T00:12:54.7448882Z already completed, the given callback will be run immediately inline. 2024-12-18T00:12:54.7449022Z 2024-12-18T00:12:54.7449363Z If the ``Future``'s value contains tensors that reside on GPUs, the 2024-12-18T00:12:54.7449742Z callback might be invoked while the async kernels that are populating 2024-12-18T00:12:54.7450152Z those tensors haven't yet finished executing on the device. However, the 2024-12-18T00:12:54.7450510Z callback will be invoked with some dedicated streams set as current 2024-12-18T00:12:54.7450871Z (fetched from a global pool) which will be synchronized with those 2024-12-18T00:12:54.7451271Z kernels. Hence any operation performed by the callback on these tensors 2024-12-18T00:12:54.7451632Z will be scheduled on the device after the kernels complete. In other 2024-12-18T00:12:54.7451988Z words, as long as the callback doesn't switch streams, it can safely 2024-12-18T00:12:54.7452383Z manipulate the result without any additional synchronization. This is 2024-12-18T00:12:54.7452670Z similar to the non-blocking behavior of :meth:`wait`. 2024-12-18T00:12:54.7452806Z 2024-12-18T00:12:54.7453171Z Similarly, if the callback returns a value that contains tensors that 2024-12-18T00:12:54.7453518Z reside on a GPU, it can do so even if the kernels that are producing 2024-12-18T00:12:54.7453899Z these tensors are still running on the device, as long as the callback 2024-12-18T00:12:54.7454265Z didn't change streams during its execution. If one wants to change 2024-12-18T00:12:54.7454630Z streams, one must be careful to re-synchronize them with the original 2024-12-18T00:12:54.7455018Z streams, that is, those that were current when the callback was invoked. 2024-12-18T00:12:54.7455156Z 2024-12-18T00:12:54.7455297Z Args: 2024-12-18T00:12:54.7455698Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2024-12-18T00:12:54.7455884Z the only argument. 2024-12-18T00:12:54.7456030Z 2024-12-18T00:12:54.7456177Z Returns: 2024-12-18T00:12:54.7456485Z A new ``Future`` object that holds the return value of the 2024-12-18T00:12:54.7456786Z ``callback`` and will be marked as completed when the given 2024-12-18T00:12:54.7457025Z ``callback`` finishes. 2024-12-18T00:12:54.7457182Z 2024-12-18T00:12:54.7457479Z .. note:: Note that if the callback function throws, either 2024-12-18T00:12:54.7457856Z through the original future being completed with an exception and 2024-12-18T00:12:54.7458322Z calling ``fut.wait()``, or through other code in the callback, the 2024-12-18T00:12:54.7458686Z future returned by ``then`` will be marked appropriately with the 2024-12-18T00:12:54.7459024Z encountered error. However, if this callback later completes 2024-12-18T00:12:54.7459404Z additional futures, those futures are not marked as completed with 2024-12-18T00:12:54.7459770Z an error and the user is responsible for handling completion/waiting 2024-12-18T00:12:54.7460025Z on those futures independently. 2024-12-18T00:12:54.7460186Z 2024-12-18T00:12:54.7460340Z Example:: 2024-12-18T00:12:54.7460590Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-12-18T00:12:54.7460775Z >>> def callback(fut): 2024-12-18T00:12:54.7461009Z ... print(f"RPC return value is {fut.wait()}.") 2024-12-18T00:12:54.7461213Z >>> fut = torch.futures.Future() 2024-12-18T00:12:54.7461500Z >>> # The inserted callback will print the return value when 2024-12-18T00:12:54.7461723Z >>> # receiving the response from "worker1" 2024-12-18T00:12:54.7461903Z >>> cb_fut = fut.then(callback) 2024-12-18T00:12:54.7462076Z >>> chain_cb_fut = cb_fut.then( 2024-12-18T00:12:54.7462340Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2024-12-18T00:12:54.7462481Z ... ) 2024-12-18T00:12:54.7462662Z >>> fut.set_result(5) 2024-12-18T00:12:54.7462833Z RPC return value is 5. 2024-12-18T00:12:54.7463001Z Chained cb done. None 2024-12-18T00:12:54.7463155Z 2024-12-18T00:12:54.7463597Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7463752Z 2024-12-18T00:12:54.7463919Z warnings.warn(msg) 2024-12-18T00:12:54.7464070Z 2024-12-18T00:12:54.7464400Z --- Parse Warning: 16 / 105 --- 2024-12-18T00:12:54.7465971Z /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. 2024-12-18T00:12:54.7466450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7466591Z 2024-12-18T00:12:54.7466960Z Set the result for this ``Future``, which will mark this ``Future`` as 2024-12-18T00:12:54.7467332Z completed and trigger all attached callbacks. Note that a ``Future`` 2024-12-18T00:12:54.7467543Z cannot be marked completed twice. 2024-12-18T00:12:54.7467679Z 2024-12-18T00:12:54.7468061Z If the result contains tensors that reside on GPUs, this method can be 2024-12-18T00:12:54.7468433Z called even if the asynchronous kernels that are populating those 2024-12-18T00:12:54.7468814Z tensors haven't yet completed running on the device, provided that the 2024-12-18T00:12:54.7469215Z streams on which those kernels were enqueued are set as the current ones 2024-12-18T00:12:54.7469582Z when this method is called. Put simply, it's safe to call this method 2024-12-18T00:12:54.7469962Z immediately after launching those kernels, without any additional 2024-12-18T00:12:54.7470354Z synchronization, as long as one doesn't change streams in between. This 2024-12-18T00:12:54.7470783Z method will record events on all the relevant current streams and will 2024-12-18T00:12:54.7471144Z use them to ensure proper scheduling for all the consumers of this 2024-12-18T00:12:54.7471295Z ``Future``. 2024-12-18T00:12:54.7471448Z 2024-12-18T00:12:54.7471593Z Args: 2024-12-18T00:12:54.7471869Z result (object): the result object of this ``Future``. 2024-12-18T00:12:54.7472063Z 2024-12-18T00:12:54.7472254Z Example:: 2024-12-18T00:12:54.7472512Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2024-12-18T00:12:54.7472678Z >>> import threading 2024-12-18T00:12:54.7472839Z >>> import time 2024-12-18T00:12:54.7473034Z >>> def slow_set_future(fut, value): 2024-12-18T00:12:54.7473196Z ... time.sleep(0.5) 2024-12-18T00:12:54.7473382Z ... fut.set_result(value) 2024-12-18T00:12:54.7473566Z >>> fut = torch.futures.Future() 2024-12-18T00:12:54.7473747Z >>> t = threading.Thread( 2024-12-18T00:12:54.7473922Z ... target=slow_set_future, 2024-12-18T00:12:54.7474108Z ... args=(fut, torch.ones(2) * 3) 2024-12-18T00:12:54.7474262Z ... ) 2024-12-18T00:12:54.7474441Z >>> t.start() 2024-12-18T00:12:54.7474617Z >>> print(fut.wait()) 2024-12-18T00:12:54.7474773Z tensor([3., 3.]) 2024-12-18T00:12:54.7474922Z >>> t.join() 2024-12-18T00:12:54.7475069Z 2024-12-18T00:12:54.7475513Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7475663Z 2024-12-18T00:12:54.7475826Z warnings.warn(msg) 2024-12-18T00:12:54.7475977Z 2024-12-18T00:12:54.7476296Z --- Parse Warning: 17 / 105 --- 2024-12-18T00:12:54.7477837Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_compile_shader in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/mps/__init__.py line=144. 2024-12-18T00:12:54.7478303Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7478691Z Compiles compute shader from source and allows one to invoke kernels 2024-12-18T00:12:54.7478960Z defined there from the comfort of Python runtime 2024-12-18T00:12:54.7479114Z Example:: 2024-12-18T00:12:54.7479260Z 2024-12-18T00:12:54.7479489Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2024-12-18T00:12:54.7479693Z >>> lib = torch.mps._compile_shader( 2024-12-18T00:12:54.7480376Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2024-12-18T00:12:54.7480519Z ... ) 2024-12-18T00:12:54.7480727Z >>> x = torch.zeros(16, device="mps") 2024-12-18T00:12:54.7480893Z >>> lib.full(x, 3.14) 2024-12-18T00:12:54.7481035Z 2024-12-18T00:12:54.7481548Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7481691Z 2024-12-18T00:12:54.7481872Z warnings.warn(msg) 2024-12-18T00:12:54.7482010Z 2024-12-18T00:12:54.7482338Z --- Parse Warning: 18 / 105 --- 2024-12-18T00:12:54.7483801Z /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=202. 2024-12-18T00:12:54.7484265Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7484555Z Return the sum of each row of the given sparse tensor. 2024-12-18T00:12:54.7484700Z 2024-12-18T00:12:54.7485101Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2024-12-18T00:12:54.7485436Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2024-12-18T00:12:54.7485808Z reduce over all of them. When sum over all ``sparse_dim``, this method 2024-12-18T00:12:54.7486110Z returns a dense tensor instead of a sparse tensor. 2024-12-18T00:12:54.7486246Z 2024-12-18T00:12:54.7486708Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2024-12-18T00:12:54.7487036Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2024-12-18T00:12:54.7487193Z 2024-12-18T00:12:54.7487574Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2024-12-18T00:12:54.7488088Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2024-12-18T00:12:54.7488230Z 2024-12-18T00:12:54.7488373Z Args: 2024-12-18T00:12:54.7488597Z input (Tensor): the input sparse tensor 2024-12-18T00:12:54.7489059Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2024-12-18T00:12:54.7489233Z over all dims. 2024-12-18T00:12:54.7489670Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2024-12-18T00:12:54.7489886Z Default: dtype of :attr:`input`. 2024-12-18T00:12:54.7490023Z 2024-12-18T00:12:54.7490178Z Example:: 2024-12-18T00:12:54.7490368Z 2024-12-18T00:12:54.7490513Z >>> nnz = 3 2024-12-18T00:12:54.7490682Z >>> dims = [5, 5, 2, 3] 2024-12-18T00:12:54.7490948Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2024-12-18T00:12:54.7491274Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2024-12-18T00:12:54.7491487Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2024-12-18T00:12:54.7491655Z >>> size = torch.Size(dims) 2024-12-18T00:12:54.7491901Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:54.7492112Z >>> S = torch.sparse_coo_tensor(I, V, size) 2024-12-18T00:12:54.7492265Z >>> S 2024-12-18T00:12:54.7492453Z tensor(indices=tensor([[2, 0, 3], 2024-12-18T00:12:54.7492618Z [2, 4, 1]]), 2024-12-18T00:12:54.7492852Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2024-12-18T00:12:54.7493037Z [ 0.3411, 0.0918, -0.2312]], 2024-12-18T00:12:54.7493189Z 2024-12-18T00:12:54.7493368Z [[ 0.5348, 0.0634, -2.0494], 2024-12-18T00:12:54.7493552Z [-0.7125, -1.0646, 2.1844]], 2024-12-18T00:12:54.7493710Z 2024-12-18T00:12:54.7493890Z [[ 0.1276, 0.1874, -0.6334], 2024-12-18T00:12:54.7494083Z [-1.9682, -0.5340, 0.7483]]]), 2024-12-18T00:12:54.7494321Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2024-12-18T00:12:54.7494472Z 2024-12-18T00:12:54.7494798Z # when sum over only part of sparse_dims, return a sparse tensor 2024-12-18T00:12:54.7494983Z >>> torch.sparse.sum(S, [1, 3]) 2024-12-18T00:12:54.7495186Z tensor(indices=tensor([[0, 2, 3]]), 2024-12-18T00:12:54.7495372Z values=tensor([[-1.4512, 0.4073], 2024-12-18T00:12:54.7495559Z [-0.8901, 0.2017], 2024-12-18T00:12:54.7495733Z [-0.3183, -1.7539]]), 2024-12-18T00:12:54.7495968Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2024-12-18T00:12:54.7496105Z 2024-12-18T00:12:54.7496367Z # when sum over all sparse dim, return a dense tensor 2024-12-18T00:12:54.7496553Z # with summed dims squeezed 2024-12-18T00:12:54.7496743Z >>> torch.sparse.sum(S, [0, 1, 3]) 2024-12-18T00:12:54.7496919Z tensor([-2.6596, -1.1450]) 2024-12-18T00:12:54.7497061Z 2024-12-18T00:12:54.7497498Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7497649Z 2024-12-18T00:12:54.7497811Z warnings.warn(msg) 2024-12-18T00:12:54.7497957Z 2024-12-18T00:12:54.7498307Z --- Parse Warning: 19 / 105 --- 2024-12-18T00:12:54.7499800Z /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. 2024-12-18T00:12:54.7500254Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7500428Z 2024-12-18T00:12:54.7500846Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2024-12-18T00:12:54.7501188Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2024-12-18T00:12:54.7501577Z pushes the map into PyTorch operations called by ``func``, effectively 2024-12-18T00:12:54.7501760Z vectorizing those operations. 2024-12-18T00:12:54.7501916Z 2024-12-18T00:12:54.7502281Z vmap is useful for handling batch dimensions: one can write a function 2024-12-18T00:12:54.7502623Z ``func`` that runs on examples and then lift it to a function that can 2024-12-18T00:12:54.7503003Z take batches of examples with ``vmap(func)``. vmap can also be used to 2024-12-18T00:12:54.7503330Z compute batched gradients when composed with autograd. 2024-12-18T00:12:54.7503482Z 2024-12-18T00:12:54.7503626Z .. note:: 2024-12-18T00:12:54.7503939Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2024-12-18T00:12:54.7504181Z convenience. Use whichever one you'd like. 2024-12-18T00:12:54.7504317Z 2024-12-18T00:12:54.7504471Z Args: 2024-12-18T00:12:54.7504831Z func (function): A Python function that takes one or more arguments. 2024-12-18T00:12:54.7505036Z Must return one or more Tensors. 2024-12-18T00:12:54.7505378Z in_dims (int or nested structure): Specifies which dimension of the 2024-12-18T00:12:54.7505671Z inputs should be mapped over. ``in_dims`` should have a 2024-12-18T00:12:54.7506015Z structure like the inputs. If the ``in_dim`` for a particular 2024-12-18T00:12:54.7506332Z input is None, then that indicates there is no map dimension. 2024-12-18T00:12:54.7506501Z Default: 0. 2024-12-18T00:12:54.7506834Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2024-12-18T00:12:54.7507178Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2024-12-18T00:12:54.7507445Z it should have one element per output. Default: 0. 2024-12-18T00:12:54.7507763Z randomness (str): Specifies whether the randomness in this 2024-12-18T00:12:54.7508135Z vmap should be the same or different across batches. If 'different', 2024-12-18T00:12:54.7508479Z the randomness for each batch will be different. If 'same', the 2024-12-18T00:12:54.7508863Z randomness will be the same across batches. If 'error', any calls to 2024-12-18T00:12:54.7509221Z random functions will error. Default: 'error'. WARNING: this flag 2024-12-18T00:12:54.7509594Z only applies to random PyTorch operations and does not apply to 2024-12-18T00:12:54.7509821Z Python's random module or numpy randomness. 2024-12-18T00:12:54.7510212Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2024-12-18T00:12:54.7510598Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2024-12-18T00:12:54.7511049Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2024-12-18T00:12:54.7511524Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2024-12-18T00:12:54.7511667Z 2024-12-18T00:12:54.7511826Z Returns: 2024-12-18T00:12:54.7512142Z Returns a new "batched" function. It takes the same inputs as 2024-12-18T00:12:54.7512455Z ``func``, except each input has an extra dimension at the index 2024-12-18T00:12:54.7512794Z specified by ``in_dims``. It takes returns the same outputs as 2024-12-18T00:12:54.7513146Z ``func``, except each output has an extra dimension at the index 2024-12-18T00:12:54.7513342Z specified by ``out_dims``. 2024-12-18T00:12:54.7513485Z 2024-12-18T00:12:54.7513631Z .. warning: 2024-12-18T00:12:54.7513987Z :func:`vmap` works best with functional-style code. Please do not 2024-12-18T00:12:54.7514298Z perform any side-effects in ``func``, with the exception of 2024-12-18T00:12:54.7514797Z in-place PyTorch operations. Examples of side-effects include mutating 2024-12-18T00:12:54.7515189Z Python data structures and assigning values to variables not captured 2024-12-18T00:12:54.7515351Z in ``func``. 2024-12-18T00:12:54.7515486Z 2024-12-18T00:12:54.7515894Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2024-12-18T00:12:54.7516286Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2024-12-18T00:12:54.7516667Z rummaging through docs, use :func:`vmap` to construct a new function. 2024-12-18T00:12:54.7516825Z 2024-12-18T00:12:54.7517065Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:54.7517455Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2024-12-18T00:12:54.7517664Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-12-18T00:12:54.7517828Z >>> batched_dot(x, y) 2024-12-18T00:12:54.7517987Z 2024-12-18T00:12:54.7518382Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2024-12-18T00:12:54.7518578Z model authoring experience. 2024-12-18T00:12:54.7518716Z 2024-12-18T00:12:54.7518909Z >>> batch_size, feature_size = 3, 5 2024-12-18T00:12:54.7519223Z >>> weights = torch.randn(feature_size, requires_grad=True) 2024-12-18T00:12:54.7519360Z >>> 2024-12-18T00:12:54.7519548Z >>> def model(feature_vec): 2024-12-18T00:12:54.7519773Z >>> # Very simple linear model with activation 2024-12-18T00:12:54.7520003Z >>> return feature_vec.dot(weights).relu() 2024-12-18T00:12:54.7520144Z >>> 2024-12-18T00:12:54.7520398Z >>> examples = torch.randn(batch_size, feature_size) 2024-12-18T00:12:54.7520613Z >>> result = torch.vmap(model)(examples) 2024-12-18T00:12:54.7520747Z 2024-12-18T00:12:54.7521188Z :func:`vmap` can also help vectorize computations that were previously difficult 2024-12-18T00:12:54.7521652Z or impossible to batch. One example is higher-order gradient computation. 2024-12-18T00:12:54.7522063Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2024-12-18T00:12:54.7522455Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2024-12-18T00:12:54.7522880Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2024-12-18T00:12:54.7523301Z we can vectorize the whole computation, computing the Jacobian in a single 2024-12-18T00:12:54.7523478Z call to ``autograd.grad``. 2024-12-18T00:12:54.7523629Z 2024-12-18T00:12:54.7523775Z >>> # Setup 2024-12-18T00:12:54.7523918Z >>> N = 5 2024-12-18T00:12:54.7524097Z >>> f = lambda x: x ** 2 2024-12-18T00:12:54.7524304Z >>> x = torch.randn(N, requires_grad=True) 2024-12-18T00:12:54.7524527Z >>> y = f(x) 2024-12-18T00:12:54.7524734Z >>> I_N = torch.eye(N) 2024-12-18T00:12:54.7525070Z >>> 2024-12-18T00:12:54.7525363Z >>> # Sequential approach 2024-12-18T00:12:54.7525771Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2024-12-18T00:12:54.7526050Z >>> for v in I_N.unbind()] 2024-12-18T00:12:54.7526295Z >>> jacobian = torch.stack(jacobian_rows) 2024-12-18T00:12:54.7526562Z >>> 2024-12-18T00:12:54.7526820Z >>> # vectorized gradient computation 2024-12-18T00:12:54.7527018Z >>> def get_vjp(v): 2024-12-18T00:12:54.7527317Z >>> return torch.autograd.grad(y, x, v) 2024-12-18T00:12:54.7527598Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2024-12-18T00:12:54.7527898Z 2024-12-18T00:12:54.7528438Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2024-12-18T00:12:54.7528642Z 2024-12-18T00:12:54.7528970Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:54.7549415Z >>> batched_dot = torch.vmap(torch.vmap(torch.dot)) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2024-12-18T00:12:54.7549819Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2024-12-18T00:12:54.7550044Z >>> batched_dot(x, y) # tensor of size [2, 3] 2024-12-18T00:12:54.7550201Z 2024-12-18T00:12:54.7550631Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2024-12-18T00:12:54.7550895Z the dimension that each inputs are batched along as 2024-12-18T00:12:54.7551058Z 2024-12-18T00:12:54.7551302Z >>> torch.dot # [N], [N] -> [] 2024-12-18T00:12:54.7551709Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2024-12-18T00:12:54.7551920Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2024-12-18T00:12:54.7552398Z >>> batched_dot(x, y) # output is [5] instead of [2] if batched along the 0th dimension 2024-12-18T00:12:54.7552540Z 2024-12-18T00:12:54.7552990Z If there are multiple inputs each of which is batched along different dimensions, 2024-12-18T00:12:54.7553353Z ``in_dims`` must be a tuple with the batch dimension for each input as 2024-12-18T00:12:54.7553489Z 2024-12-18T00:12:54.7553744Z >>> torch.dot # [D], [D] -> [] 2024-12-18T00:12:54.7554146Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2024-12-18T00:12:54.7554367Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-12-18T00:12:54.7554777Z >>> batched_dot(x, y) # second arg doesn't have a batch dim because in_dim[1] was None 2024-12-18T00:12:54.7554921Z 2024-12-18T00:12:54.7555348Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2024-12-18T00:12:54.7555540Z matching the shape of the input: 2024-12-18T00:12:54.7555695Z 2024-12-18T00:12:54.7555931Z >>> f = lambda dict: torch.dot(dict['x'], dict['y']) 2024-12-18T00:12:54.7556135Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2024-12-18T00:12:54.7556326Z >>> input = {'x': x, 'y': y} 2024-12-18T00:12:54.7556629Z >>> batched_dot = torch.vmap(f, in_dims=({'x': 0, 'y': None},)) 2024-12-18T00:12:54.7556815Z >>> batched_dot(input) 2024-12-18T00:12:54.7556951Z 2024-12-18T00:12:54.7557437Z By default, the output is batched along the first dimension. However, it can be batched 2024-12-18T00:12:54.7557656Z along any dimension by using ``out_dims`` 2024-12-18T00:12:54.7557797Z 2024-12-18T00:12:54.7558141Z >>> f = lambda x: x ** 2 2024-12-18T00:12:54.7558315Z >>> x = torch.randn(2, 5) 2024-12-18T00:12:54.7558547Z >>> batched_pow = torch.vmap(f, out_dims=1) 2024-12-18T00:12:54.7558714Z >>> batched_pow(x) # [5, 2] 2024-12-18T00:12:54.7558850Z 2024-12-18T00:12:54.7559372Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2024-12-18T00:12:54.7559528Z accept kwargs 2024-12-18T00:12:54.7559681Z 2024-12-18T00:12:54.7559854Z >>> x = torch.randn([2, 5]) 2024-12-18T00:12:54.7560019Z >>> def fn(x, scale=4.): 2024-12-18T00:12:54.7560192Z >>> return x * scale 2024-12-18T00:12:54.7560333Z >>> 2024-12-18T00:12:54.7560535Z >>> batched_pow = torch.vmap(fn) 2024-12-18T00:12:54.7560770Z >>> assert torch.allclose(batched_pow(x), x * 4) 2024-12-18T00:12:54.7561165Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2024-12-18T00:12:54.7561306Z 2024-12-18T00:12:54.7561537Z .. note:: 2024-12-18T00:12:54.7562030Z vmap does not provide general autobatching or handle variable-length 2024-12-18T00:12:54.7562203Z sequences out of the box. 2024-12-18T00:12:54.7562353Z 2024-12-18T00:12:54.7562792Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7562934Z 2024-12-18T00:12:54.7563113Z warnings.warn(msg) 2024-12-18T00:12:54.7563251Z 2024-12-18T00:12:54.7563730Z --- Parse Warning: 20 / 105 --- 2024-12-18T00:12:54.7565302Z /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=20. 2024-12-18T00:12:54.7565774Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7566214Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2024-12-18T00:12:54.7566353Z 2024-12-18T00:12:54.7566725Z This is a more structured way of using triton kernels with PyTorch. 2024-12-18T00:12:54.7567164Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2024-12-18T00:12:54.7567651Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2024-12-18T00:12:54.7567808Z that is simpler; 2024-12-18T00:12:54.7568259Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2024-12-18T00:12:54.7568654Z want to create an operator that behaves like PyTorch built-in operators. 2024-12-18T00:12:54.7569016Z For example, you may use a ``torch.library`` wrapper API to define the 2024-12-18T00:12:54.7569404Z behavior of the triton kernel when passed a tensor subclass or under 2024-12-18T00:12:54.7569579Z a TorchDispatchMode. 2024-12-18T00:12:54.7569729Z 2024-12-18T00:12:54.7570157Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2024-12-18T00:12:54.7570349Z when the implementation 2024-12-18T00:12:54.7570722Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2024-12-18T00:12:54.7571007Z custom operators as opaque (:func:`torch.compile` and 2024-12-18T00:12:54.7571428Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2024-12-18T00:12:54.7571810Z makes the implementation visible to these subsystems, allowing them 2024-12-18T00:12:54.7572023Z to optimize the triton kernel(s). 2024-12-18T00:12:54.7572162Z 2024-12-18T00:12:54.7572498Z Note that ``fn`` must only consist of calls to PyTorch-understood 2024-12-18T00:12:54.7572891Z operators and triton kernels. Any triton kernels called inside ``fn`` 2024-12-18T00:12:54.7573227Z must be wrapped in a call to :func:`torch._library.wrap_triton``. 2024-12-18T00:12:54.7573380Z 2024-12-18T00:12:54.7573520Z Args: 2024-12-18T00:12:54.7573921Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2024-12-18T00:12:54.7574280Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2024-12-18T00:12:54.7574579Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2024-12-18T00:12:54.7574985Z To avoid name collisions, please use your project name as the namespace; 2024-12-18T00:12:54.7575342Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2024-12-18T00:12:54.7575828Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2024-12-18T00:12:54.7576240Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2024-12-18T00:12:54.7576713Z it pessimistically assumes that all inputs to the operator are being mutated. 2024-12-18T00:12:54.7577026Z schema (None | str): A schema string for the operator. If None 2024-12-18T00:12:54.7577401Z (recommended) we'll infer a schema for the operator from its type 2024-12-18T00:12:54.7577793Z annotations. We recommend letting us infer a schema unless you 2024-12-18T00:12:54.7578009Z have a specific reason not to. 2024-12-18T00:12:54.7578262Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2024-12-18T00:12:54.7578397Z 2024-12-18T00:12:54.7578568Z Example:: 2024-12-18T00:12:54.7578740Z 2024-12-18T00:12:54.7579024Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.7579187Z >>> import torch 2024-12-18T00:12:54.7579454Z >>> from torch._library import triton_op, wrap_triton 2024-12-18T00:12:54.7579616Z >>> 2024-12-18T00:12:54.7579779Z >>> import triton 2024-12-18T00:12:54.7580003Z >>> from triton import language as tl 2024-12-18T00:12:54.7580147Z >>> 2024-12-18T00:12:54.7580302Z >>> @triton.jit 2024-12-18T00:12:54.7580481Z >>> def add_kernel( 2024-12-18T00:12:54.7580637Z >>> in_ptr0, 2024-12-18T00:12:54.7580803Z >>> in_ptr1, 2024-12-18T00:12:54.7580960Z >>> out_ptr, 2024-12-18T00:12:54.7581163Z >>> n_elements, 2024-12-18T00:12:54.7581363Z >>> BLOCK_SIZE: "tl.constexpr", 2024-12-18T00:12:54.7581505Z >>> ): 2024-12-18T00:12:54.7581718Z >>> pid = tl.program_id(axis=0) 2024-12-18T00:12:54.7581916Z >>> block_start = pid * BLOCK_SIZE 2024-12-18T00:12:54.7582185Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-12-18T00:12:54.7582370Z >>> mask = offsets < n_elements 2024-12-18T00:12:54.7582590Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-12-18T00:12:54.7582818Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-12-18T00:12:54.7582984Z >>> output = x + y 2024-12-18T00:12:54.7583247Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-12-18T00:12:54.7583390Z >>> 2024-12-18T00:12:54.7583629Z >>> @triton_op("mylib::add", mutates_args={}) 2024-12-18T00:12:54.7583936Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2024-12-18T00:12:54.7584133Z >>> output = torch.empty_like(x) 2024-12-18T00:12:54.7584337Z >>> n_elements = output.numel() 2024-12-18T00:12:54.7584481Z >>> 2024-12-18T00:12:54.7584667Z >>> def grid(meta): 2024-12-18T00:12:54.7584956Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-12-18T00:12:54.7585110Z >>> 2024-12-18T00:12:54.7585421Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2024-12-18T00:12:54.7585740Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2024-12-18T00:12:54.7585912Z >>> return output 2024-12-18T00:12:54.7586051Z >>> 2024-12-18T00:12:54.7586224Z >>> @torch.compile 2024-12-18T00:12:54.7586383Z >>> def f(x, y): 2024-12-18T00:12:54.7586546Z >>> return add(x, y) 2024-12-18T00:12:54.7586706Z >>> 2024-12-18T00:12:54.7586898Z >>> x = torch.randn(3, device="cuda") 2024-12-18T00:12:54.7587102Z >>> y = torch.randn(3, device="cuda") 2024-12-18T00:12:54.7587240Z >>> 2024-12-18T00:12:54.7587399Z >>> z = f(x, y) 2024-12-18T00:12:54.7587609Z >>> assert torch.allclose(z, x + y) 2024-12-18T00:12:54.7587747Z 2024-12-18T00:12:54.7587905Z 2024-12-18T00:12:54.7588337Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7588488Z 2024-12-18T00:12:54.7588654Z warnings.warn(msg) 2024-12-18T00:12:54.7588799Z 2024-12-18T00:12:54.7589134Z --- Parse Warning: 21 / 105 --- 2024-12-18T00:12:54.7590669Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_library/triton.py line=183. 2024-12-18T00:12:54.7591185Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7591509Z Allows capture of a triton kernel into a graph via make_fx or 2024-12-18T00:12:54.7591698Z non-strict ``torch.export``. 2024-12-18T00:12:54.7591869Z 2024-12-18T00:12:54.7592227Z These technologies perform Dispatcher-based tracing (via 2024-12-18T00:12:54.7592563Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2024-12-18T00:12:54.7592897Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2024-12-18T00:12:54.7593103Z can actually be traced into a graph. 2024-12-18T00:12:54.7593242Z 2024-12-18T00:12:54.7593615Z Please use this API together with :func:`torch.library.triton_op`. 2024-12-18T00:12:54.7593753Z 2024-12-18T00:12:54.7593900Z Examples: 2024-12-18T00:12:54.7594046Z 2024-12-18T00:12:54.7594210Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7594383Z >>> import torch 2024-12-18T00:12:54.7594569Z >>> import triton 2024-12-18T00:12:54.7594786Z >>> from triton import language as tl 2024-12-18T00:12:54.7595089Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2024-12-18T00:12:54.7595304Z >>> from torch.library import wrap_triton 2024-12-18T00:12:54.7595461Z >>> 2024-12-18T00:12:54.7595614Z >>> @triton.jit 2024-12-18T00:12:54.7595781Z >>> def add_kernel( 2024-12-18T00:12:54.7595931Z >>> in_ptr0, 2024-12-18T00:12:54.7596079Z >>> in_ptr1, 2024-12-18T00:12:54.7596240Z >>> out_ptr, 2024-12-18T00:12:54.7596391Z >>> n_elements, 2024-12-18T00:12:54.7596593Z >>> BLOCK_SIZE: "tl.constexpr", 2024-12-18T00:12:54.7596737Z >>> ): 2024-12-18T00:12:54.7596926Z >>> pid = tl.program_id(axis=0) 2024-12-18T00:12:54.7597132Z >>> block_start = pid * BLOCK_SIZE 2024-12-18T00:12:54.7597390Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2024-12-18T00:12:54.7597591Z >>> mask = offsets < n_elements 2024-12-18T00:12:54.7597804Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2024-12-18T00:12:54.7598036Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2024-12-18T00:12:54.7598201Z >>> output = x + y 2024-12-18T00:12:54.7598443Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2024-12-18T00:12:54.7598596Z >>> 2024-12-18T00:12:54.7598753Z >>> def add(x, y): 2024-12-18T00:12:54.7598959Z >>> output = torch.empty_like(x) 2024-12-18T00:12:54.7599149Z >>> n_elements = output.numel() 2024-12-18T00:12:54.7599300Z >>> 2024-12-18T00:12:54.7599471Z >>> def grid_fn(meta): 2024-12-18T00:12:54.7599762Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2024-12-18T00:12:54.7599913Z >>> 2024-12-18T00:12:54.7600248Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2024-12-18T00:12:54.7600423Z >>> return output 2024-12-18T00:12:54.7600566Z >>> 2024-12-18T00:12:54.7600767Z >>> x = torch.randn(3, device="cuda") 2024-12-18T00:12:54.7600974Z >>> y = torch.randn(3, device="cuda") 2024-12-18T00:12:54.7601149Z >>> gm = make_fx(add)(x, y) 2024-12-18T00:12:54.7601323Z >>> print(gm.code) 2024-12-18T00:12:54.7601580Z >>> # def forward(self, x_1, y_1): 2024-12-18T00:12:54.7601998Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2024-12-18T00:12:54.7602415Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2024-12-18T00:12:54.7602674Z >>> # kernel_idx = 0, constant_args_idx = 0, 2024-12-18T00:12:54.7602873Z >>> # grid = [(1, 1, 1)], kwargs = { 2024-12-18T00:12:54.7603130Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2024-12-18T00:12:54.7603347Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2024-12-18T00:12:54.7603499Z >>> # }) 2024-12-18T00:12:54.7603745Z >>> # return empty_like 2024-12-18T00:12:54.7603885Z 2024-12-18T00:12:54.7604021Z 2024-12-18T00:12:54.7604475Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7604614Z 2024-12-18T00:12:54.7604786Z warnings.warn(msg) 2024-12-18T00:12:54.7604924Z 2024-12-18T00:12:54.7605257Z --- Parse Warning: 22 / 105 --- 2024-12-18T00:12:54.7606904Z /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. 2024-12-18T00:12:54.7607399Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7607553Z 2024-12-18T00:12:54.7607910Z Raises an AssertionError if two items are not equal up to desired 2024-12-18T00:12:54.7608067Z precision. 2024-12-18T00:12:54.7608206Z 2024-12-18T00:12:54.7608502Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:54.7608816Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:54.7609139Z instead of this function for more consistent floating point 2024-12-18T00:12:54.7609314Z comparisons. 2024-12-18T00:12:54.7609454Z 2024-12-18T00:12:54.7609837Z The test verifies that the elements of `actual` and `desired` satisfy. 2024-12-18T00:12:54.7609972Z 2024-12-18T00:12:54.7610237Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2024-12-18T00:12:54.7610388Z 2024-12-18T00:12:54.7610774Z That is a looser test than originally documented, but agrees with what the 2024-12-18T00:12:54.7611197Z actual implementation in `assert_array_almost_equal` did up to rounding 2024-12-18T00:12:54.7611600Z vagaries. An exception is raised at conflicting values. For ndarrays this 2024-12-18T00:12:54.7611806Z delegates to assert_array_almost_equal 2024-12-18T00:12:54.7611955Z 2024-12-18T00:12:54.7612104Z Parameters 2024-12-18T00:12:54.7612269Z ---------- 2024-12-18T00:12:54.7612426Z actual : array_like 2024-12-18T00:12:54.7612587Z The object to check. 2024-12-18T00:12:54.7612757Z desired : array_like 2024-12-18T00:12:54.7612922Z The expected object. 2024-12-18T00:12:54.7613098Z decimal : int, optional 2024-12-18T00:12:54.7613292Z Desired precision, default is 7. 2024-12-18T00:12:54.7613462Z err_msg : str, optional 2024-12-18T00:12:54.7613725Z The error message to be printed in case of failure. 2024-12-18T00:12:54.7613892Z verbose : bool, optional 2024-12-18T00:12:54.7614258Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:54.7614392Z 2024-12-18T00:12:54.7614543Z Raises 2024-12-18T00:12:54.7614684Z ------ 2024-12-18T00:12:54.7614841Z AssertionError 2024-12-18T00:12:54.7615189Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:54.7615326Z 2024-12-18T00:12:54.7615478Z See Also 2024-12-18T00:12:54.7615623Z -------- 2024-12-18T00:12:54.7616032Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:54.7616256Z relative and/or absolute precision. 2024-12-18T00:12:54.7616618Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:54.7616779Z 2024-12-18T00:12:54.7616924Z Examples 2024-12-18T00:12:54.7617070Z -------- 2024-12-18T00:12:54.7617418Z >>> from torch._numpy.testing import assert_almost_equal 2024-12-18T00:12:54.7617641Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2024-12-18T00:12:54.7617959Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2024-12-18T00:12:54.7618153Z Traceback (most recent call last): 2024-12-18T00:12:54.7618297Z ... 2024-12-18T00:12:54.7618466Z AssertionError: 2024-12-18T00:12:54.7618737Z Arrays are not almost equal to 10 decimals 2024-12-18T00:12:54.7618910Z ACTUAL: 2.3333333333333 2024-12-18T00:12:54.7619069Z DESIRED: 2.33333334 2024-12-18T00:12:54.7619217Z 2024-12-18T00:12:54.7619465Z >>> assert_almost_equal(np.array([1.0,2.3333333333333]), 2024-12-18T00:12:54.7619675Z ... np.array([1.0,2.33333334]), decimal=9) 2024-12-18T00:12:54.7619878Z Traceback (most recent call last): 2024-12-18T00:12:54.7620018Z ... 2024-12-18T00:12:54.7620188Z AssertionError: 2024-12-18T00:12:54.7620394Z Arrays are not almost equal to 9 decimals 2024-12-18T00:12:54.7620545Z 2024-12-18T00:12:54.7620735Z Mismatched elements: 1 / 2 (50%) 2024-12-18T00:12:54.7620986Z Max absolute difference: 6.666699636781459e-09 2024-12-18T00:12:54.7621218Z Max relative difference: 2.8571569790287484e-09 2024-12-18T00:12:54.7621447Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-12-18T00:12:54.7621689Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2024-12-18T00:12:54.7621829Z 2024-12-18T00:12:54.7621966Z 2024-12-18T00:12:54.7622416Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7622548Z 2024-12-18T00:12:54.7622725Z warnings.warn(msg) 2024-12-18T00:12:54.7622861Z 2024-12-18T00:12:54.7623187Z --- Parse Warning: 23 / 105 --- 2024-12-18T00:12:54.7624834Z /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. 2024-12-18T00:12:54.7625302Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7625448Z 2024-12-18T00:12:54.7625833Z Raises an AssertionError if two items are not equal up to significant 2024-12-18T00:12:54.7625992Z digits. 2024-12-18T00:12:54.7626132Z 2024-12-18T00:12:54.7626432Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:54.7626749Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:54.7627066Z instead of this function for more consistent floating point 2024-12-18T00:12:54.7627234Z comparisons. 2024-12-18T00:12:54.7627375Z 2024-12-18T00:12:54.7627704Z Given two numbers, check that they are approximately equal. 2024-12-18T00:12:54.7628078Z Approximately equal is defined as the number of significant digits 2024-12-18T00:12:54.7628225Z that agree. 2024-12-18T00:12:54.7628368Z 2024-12-18T00:12:54.7628517Z Parameters 2024-12-18T00:12:54.7628677Z ---------- 2024-12-18T00:12:54.7628829Z actual : scalar 2024-12-18T00:12:54.7628990Z The object to check. 2024-12-18T00:12:54.7629148Z desired : scalar 2024-12-18T00:12:54.7629311Z The expected object. 2024-12-18T00:12:54.7629494Z significant : int, optional 2024-12-18T00:12:54.7629691Z Desired precision, default is 7. 2024-12-18T00:12:54.7629855Z err_msg : str, optional 2024-12-18T00:12:54.7630124Z The error message to be printed in case of failure. 2024-12-18T00:12:54.7630287Z verbose : bool, optional 2024-12-18T00:12:54.7630647Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:54.7630784Z 2024-12-18T00:12:54.7630919Z Raises 2024-12-18T00:12:54.7631075Z ------ 2024-12-18T00:12:54.7631227Z AssertionError 2024-12-18T00:12:54.7631567Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:54.7631740Z 2024-12-18T00:12:54.7631889Z See Also 2024-12-18T00:12:54.7632033Z -------- 2024-12-18T00:12:54.7632447Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:54.7632672Z relative and/or absolute precision. 2024-12-18T00:12:54.7633031Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:54.7633245Z 2024-12-18T00:12:54.7633388Z Examples 2024-12-18T00:12:54.7633530Z -------- 2024-12-18T00:12:54.7634011Z >>> np.testing.assert_approx_equal(0.12345677777777e-20, 0.1234567e-20) # doctest: +SKIP 2024-12-18T00:12:54.7634438Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345671e-20, # doctest: +SKIP 2024-12-18T00:12:54.7634641Z ... significant=8) 2024-12-18T00:12:54.7635070Z >>> np.testing.assert_approx_equal(0.12345670e-20, 0.12345672e-20, # doctest: +SKIP 2024-12-18T00:12:54.7635274Z ... significant=8) 2024-12-18T00:12:54.7635463Z Traceback (most recent call last): 2024-12-18T00:12:54.7635602Z ... 2024-12-18T00:12:54.7635797Z AssertionError: 2024-12-18T00:12:54.7636018Z Items are not equal to 8 significant digits: 2024-12-18T00:12:54.7636182Z ACTUAL: 1.234567e-21 2024-12-18T00:12:54.7636342Z DESIRED: 1.2345672e-21 2024-12-18T00:12:54.7636480Z 2024-12-18T00:12:54.7636769Z the evaluated condition that raises the exception is 2024-12-18T00:12:54.7636904Z 2024-12-18T00:12:54.7637205Z >>> abs(0.12345670e-20/1e-21 - 0.12345672e-20/1e-21) >= 10**-(8-1) 2024-12-18T00:12:54.7637347Z True 2024-12-18T00:12:54.7637492Z 2024-12-18T00:12:54.7637631Z 2024-12-18T00:12:54.7638067Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7638222Z 2024-12-18T00:12:54.7638387Z warnings.warn(msg) 2024-12-18T00:12:54.7638536Z 2024-12-18T00:12:54.7638859Z --- Parse Warning: 24 / 105 --- 2024-12-18T00:12:54.7640491Z /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. 2024-12-18T00:12:54.7640961Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7641105Z 2024-12-18T00:12:54.7641535Z Raises an AssertionError if two array_like objects are not equal. 2024-12-18T00:12:54.7641675Z 2024-12-18T00:12:54.7642040Z Given two array_like objects, check that the shape is equal and all 2024-12-18T00:12:54.7642420Z elements of these objects are equal (but see the Notes for the special 2024-12-18T00:12:54.7642763Z handling of a scalar). An exception is raised at shape mismatch or 2024-12-18T00:12:54.7643159Z conflicting values. In contrast to the standard usage in numpy, NaNs 2024-12-18T00:12:54.7643540Z are compared like numbers, no assertion is raised if both objects have 2024-12-18T00:12:54.7643723Z NaNs in the same positions. 2024-12-18T00:12:54.7643862Z 2024-12-18T00:12:54.7644272Z The usual caution for verifying equality with floating point numbers is 2024-12-18T00:12:54.7644415Z advised. 2024-12-18T00:12:54.7644548Z 2024-12-18T00:12:54.7644714Z Parameters 2024-12-18T00:12:54.7644864Z ---------- 2024-12-18T00:12:54.7645024Z x : array_like 2024-12-18T00:12:54.7645198Z The actual object to check. 2024-12-18T00:12:54.7645344Z y : array_like 2024-12-18T00:12:54.7645538Z The desired, expected object. 2024-12-18T00:12:54.7645703Z err_msg : str, optional 2024-12-18T00:12:54.7645979Z The error message to be printed in case of failure. 2024-12-18T00:12:54.7646150Z verbose : bool, optional 2024-12-18T00:12:54.7646496Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:54.7646725Z strict : bool, optional 2024-12-18T00:12:54.7647067Z If True, raise an AssertionError when either the shape or the data 2024-12-18T00:12:54.7647374Z type of the array_like objects does not match. The special 2024-12-18T00:12:54.7647724Z handling for scalars mentioned in the Notes section is disabled. 2024-12-18T00:12:54.7647870Z 2024-12-18T00:12:54.7648010Z Raises 2024-12-18T00:12:54.7648185Z ------ 2024-12-18T00:12:54.7648383Z AssertionError 2024-12-18T00:12:54.7648611Z If actual and desired objects are not equal. 2024-12-18T00:12:54.7648760Z 2024-12-18T00:12:54.7648900Z See Also 2024-12-18T00:12:54.7649037Z -------- 2024-12-18T00:12:54.7649461Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:54.7649677Z relative and/or absolute precision. 2024-12-18T00:12:54.7650046Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:54.7650188Z 2024-12-18T00:12:54.7650324Z Notes 2024-12-18T00:12:54.7650478Z ----- 2024-12-18T00:12:54.7650787Z When one of `x` and `y` is a scalar and the other is array_like, the 2024-12-18T00:12:54.7651214Z function checks that each element of the array_like object is equal to 2024-12-18T00:12:54.7651596Z the scalar. This behaviour can be disabled with the `strict` parameter. 2024-12-18T00:12:54.7651745Z 2024-12-18T00:12:54.7651895Z Examples 2024-12-18T00:12:54.7652039Z -------- 2024-12-18T00:12:54.7652277Z The first assert does not raise an exception: 2024-12-18T00:12:54.7652415Z 2024-12-18T00:12:54.7652684Z >>> np.testing.assert_array_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:54.7652883Z ... [np.exp(0),2.33333, np.nan]) 2024-12-18T00:12:54.7653016Z 2024-12-18T00:12:54.7653418Z Use `assert_allclose` or one of the nulp (number of floating point values) 2024-12-18T00:12:54.7653604Z functions for these cases instead: 2024-12-18T00:12:54.7653752Z 2024-12-18T00:12:54.7653988Z >>> np.testing.assert_allclose([1.0,np.pi,np.nan], 2024-12-18T00:12:54.7654211Z ... [1, np.sqrt(np.pi)**2, np.nan], 2024-12-18T00:12:54.7654392Z ... rtol=1e-10, atol=0) 2024-12-18T00:12:54.7654526Z 2024-12-18T00:12:54.7654887Z As mentioned in the Notes section, `assert_array_equal` has special 2024-12-18T00:12:54.7655276Z handling for scalars. Here the test checks that each value in `x` is 3: 2024-12-18T00:12:54.7655426Z 2024-12-18T00:12:54.7655602Z >>> x = np.full((2, 5), fill_value=3) 2024-12-18T00:12:54.7655799Z >>> np.testing.assert_array_equal(x, 3) 2024-12-18T00:12:54.7655947Z 2024-12-18T00:12:54.7656311Z Use `strict` to raise an AssertionError when comparing a scalar with an 2024-12-18T00:12:54.7656464Z array: 2024-12-18T00:12:54.7656603Z 2024-12-18T00:12:54.7656869Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2024-12-18T00:12:54.7657059Z Traceback (most recent call last): 2024-12-18T00:12:54.7657198Z ... 2024-12-18T00:12:54.7657364Z AssertionError: 2024-12-18T00:12:54.7657524Z Arrays are not equal 2024-12-18T00:12:54.7657680Z 2024-12-18T00:12:54.7657841Z (shapes (2, 5), () mismatch) 2024-12-18T00:12:54.7658184Z x: torch.ndarray([[3, 3, 3, 3, 3], 2024-12-18T00:12:54.7658349Z [3, 3, 3, 3, 3]]) 2024-12-18T00:12:54.7658516Z y: torch.ndarray(3) 2024-12-18T00:12:54.7658665Z 2024-12-18T00:12:54.7659029Z The `strict` parameter also ensures that the array data types match: 2024-12-18T00:12:54.7659163Z 2024-12-18T00:12:54.7659338Z >>> x = np.array([2, 2, 2]) 2024-12-18T00:12:54.7659550Z >>> y = np.array([2., 2., 2.], dtype=np.float32) 2024-12-18T00:12:54.7659815Z >>> np.testing.assert_array_equal(x, y, strict=True) 2024-12-18T00:12:54.7660008Z Traceback (most recent call last): 2024-12-18T00:12:54.7660157Z ... 2024-12-18T00:12:54.7660408Z AssertionError: 2024-12-18T00:12:54.7660569Z Arrays are not equal 2024-12-18T00:12:54.7660728Z 2024-12-18T00:12:54.7660975Z (dtypes dtype("int64"), dtype("float32") mismatch) 2024-12-18T00:12:54.7661165Z x: torch.ndarray([2, 2, 2]) 2024-12-18T00:12:54.7661338Z y: torch.ndarray([2., 2., 2.]) 2024-12-18T00:12:54.7661474Z 2024-12-18T00:12:54.7661928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7662150Z 2024-12-18T00:12:54.7662325Z warnings.warn(msg) 2024-12-18T00:12:54.7662466Z 2024-12-18T00:12:54.7662807Z --- Parse Warning: 25 / 105 --- 2024-12-18T00:12:54.7664503Z /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. 2024-12-18T00:12:54.7664964Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7665121Z 2024-12-18T00:12:54.7665491Z Raises an AssertionError if two objects are not equal up to desired 2024-12-18T00:12:54.7665727Z precision. 2024-12-18T00:12:54.7665864Z 2024-12-18T00:12:54.7666168Z .. note:: It is recommended to use one of `assert_allclose`, 2024-12-18T00:12:54.7666492Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2024-12-18T00:12:54.7666822Z instead of this function for more consistent floating point 2024-12-18T00:12:54.7666990Z comparisons. 2024-12-18T00:12:54.7667127Z 2024-12-18T00:12:54.7667558Z The test verifies identical shapes and that the elements of ``actual`` and 2024-12-18T00:12:54.7667719Z ``desired`` satisfy. 2024-12-18T00:12:54.7667856Z 2024-12-18T00:12:54.7668083Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2024-12-18T00:12:54.7668224Z 2024-12-18T00:12:54.7668629Z That is a looser test than originally documented, but agrees with what the 2024-12-18T00:12:54.7669046Z actual implementation did up to rounding vagaries. An exception is raised 2024-12-18T00:12:54.7669468Z at shape mismatch or conflicting values. In contrast to the standard usage 2024-12-18T00:12:54.7669848Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2024-12-18T00:12:54.7670052Z objects have NaNs in the same positions. 2024-12-18T00:12:54.7670203Z 2024-12-18T00:12:54.7670357Z Parameters 2024-12-18T00:12:54.7670520Z ---------- 2024-12-18T00:12:54.7670664Z x : array_like 2024-12-18T00:12:54.7670841Z The actual object to check. 2024-12-18T00:12:54.7670999Z y : array_like 2024-12-18T00:12:54.7671183Z The desired, expected object. 2024-12-18T00:12:54.7671365Z decimal : int, optional 2024-12-18T00:12:54.7671557Z Desired precision, default is 6. 2024-12-18T00:12:54.7671723Z err_msg : str, optional 2024-12-18T00:12:54.7671988Z The error message to be printed in case of failure. 2024-12-18T00:12:54.7672154Z verbose : bool, optional 2024-12-18T00:12:54.7672509Z If True, the conflicting values are appended to the error message. 2024-12-18T00:12:54.7672649Z 2024-12-18T00:12:54.7672799Z Raises 2024-12-18T00:12:54.7672940Z ------ 2024-12-18T00:12:54.7673093Z AssertionError 2024-12-18T00:12:54.7673436Z If actual and desired are not equal up to specified precision. 2024-12-18T00:12:54.7673577Z 2024-12-18T00:12:54.7673732Z See Also 2024-12-18T00:12:54.7673878Z -------- 2024-12-18T00:12:54.7674284Z assert_allclose: Compare two array_like objects for equality with desired 2024-12-18T00:12:54.7674507Z relative and/or absolute precision. 2024-12-18T00:12:54.7674869Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2024-12-18T00:12:54.7675015Z 2024-12-18T00:12:54.7675160Z Examples 2024-12-18T00:12:54.7675302Z -------- 2024-12-18T00:12:54.7675533Z the first assert does not raise an exception 2024-12-18T00:12:54.7675705Z 2024-12-18T00:12:54.7676008Z >>> np.testing.assert_array_almost_equal([1.0,2.333,np.nan], 2024-12-18T00:12:54.7676199Z ... [1.0,2.333,np.nan]) 2024-12-18T00:12:54.7676344Z 2024-12-18T00:12:54.7676644Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:54.7676882Z ... [1.0,2.33339,np.nan], decimal=5) 2024-12-18T00:12:54.7677119Z Traceback (most recent call last): 2024-12-18T00:12:54.7677260Z ... 2024-12-18T00:12:54.7677430Z AssertionError: 2024-12-18T00:12:54.7677634Z Arrays are not almost equal to 5 decimals 2024-12-18T00:12:54.7677778Z 2024-12-18T00:12:54.7677968Z Mismatched elements: 1 / 3 (33.3%) 2024-12-18T00:12:54.7678181Z Max absolute difference: 5.999999999994898e-05 2024-12-18T00:12:54.7678410Z Max relative difference: 2.5713661239633743e-05 2024-12-18T00:12:54.7678685Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-12-18T00:12:54.7678965Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2024-12-18T00:12:54.7679099Z 2024-12-18T00:12:54.7679428Z >>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], 2024-12-18T00:12:54.7679636Z ... [1.0,2.33333, 5], decimal=5) 2024-12-18T00:12:54.7679821Z Traceback (most recent call last): 2024-12-18T00:12:54.7679977Z ... 2024-12-18T00:12:54.7680129Z AssertionError: 2024-12-18T00:12:54.7680335Z Arrays are not almost equal to 5 decimals 2024-12-18T00:12:54.7680497Z 2024-12-18T00:12:54.7680674Z x and y nan location mismatch: 2024-12-18T00:12:54.7680955Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2024-12-18T00:12:54.7681213Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2024-12-18T00:12:54.7681363Z 2024-12-18T00:12:54.7681560Z 2024-12-18T00:12:54.7681998Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7682152Z 2024-12-18T00:12:54.7682308Z warnings.warn(msg) 2024-12-18T00:12:54.7682453Z 2024-12-18T00:12:54.7682793Z --- Parse Warning: 26 / 105 --- 2024-12-18T00:12:54.7684467Z /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. 2024-12-18T00:12:54.7684946Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7685313Z Context manager that resets warning registry for catching warnings 2024-12-18T00:12:54.7685466Z 2024-12-18T00:12:54.7685881Z Warnings can be slippery, because, whenever a warning is triggered, Python 2024-12-18T00:12:54.7686282Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2024-12-18T00:12:54.7686694Z it impossible to retrigger the warning in this module, whatever you put in 2024-12-18T00:12:54.7687114Z the warnings filters. This context manager accepts a sequence of `modules` 2024-12-18T00:12:54.7687353Z as a keyword argument to its constructor and: 2024-12-18T00:12:54.7687493Z 2024-12-18T00:12:54.7687901Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2024-12-18T00:12:54.7688053Z on entry; 2024-12-18T00:12:54.7688387Z * resets ``__warningregistry__`` to its previous state on exit. 2024-12-18T00:12:54.7688525Z 2024-12-18T00:12:54.7688909Z This makes it possible to trigger any warning afresh inside the context 2024-12-18T00:12:54.7689226Z manager without disturbing the state of warnings outside. 2024-12-18T00:12:54.7689362Z 2024-12-18T00:12:54.7689778Z For compatibility with Python 3.0, please consider all arguments to be 2024-12-18T00:12:54.7689937Z keyword-only. 2024-12-18T00:12:54.7690131Z 2024-12-18T00:12:54.7690282Z Parameters 2024-12-18T00:12:54.7690426Z ---------- 2024-12-18T00:12:54.7690605Z record : bool, optional 2024-12-18T00:12:54.7690930Z Specifies whether warnings should be captured by a custom 2024-12-18T00:12:54.7691345Z implementation of ``warnings.showwarning()`` and be appended to a list 2024-12-18T00:12:54.7691775Z returned by the context manager. Otherwise None is returned by the 2024-12-18T00:12:54.7692165Z context manager. The objects appended to the list are arguments whose 2024-12-18T00:12:54.7692471Z attributes mirror the arguments to ``showwarning()``. 2024-12-18T00:12:54.7692650Z modules : sequence, optional 2024-12-18T00:12:54.7693046Z Sequence of modules for which to reset warnings registry on entry and 2024-12-18T00:12:54.7693368Z restore on exit. To work correctly, all 'ignore' filters should 2024-12-18T00:12:54.7693566Z filter by one of these modules. 2024-12-18T00:12:54.7693704Z 2024-12-18T00:12:54.7693848Z Examples 2024-12-18T00:12:54.7694005Z -------- 2024-12-18T00:12:54.7694197Z >>> import warnings 2024-12-18T00:12:54.7694523Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2024-12-18T00:12:54.7694734Z ... modules=[np.core.fromnumeric]): 2024-12-18T00:12:54.7694942Z ... warnings.simplefilter('always') 2024-12-18T00:12:54.7695334Z ... warnings.filterwarnings('ignore', module='np.core.fromnumeric') 2024-12-18T00:12:54.7695625Z ... # do something that raises a warning but ignore those in 2024-12-18T00:12:54.7695808Z ... # np.core.fromnumeric 2024-12-18T00:12:54.7695946Z 2024-12-18T00:12:54.7696391Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7696529Z 2024-12-18T00:12:54.7696685Z warnings.warn(msg) 2024-12-18T00:12:54.7696833Z 2024-12-18T00:12:54.7697147Z --- Parse Warning: 27 / 105 --- 2024-12-18T00:12:54.7698776Z /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=354. 2024-12-18T00:12:54.7699230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7699608Z Applies a 1D convolution over a quantized input signal composed of 2024-12-18T00:12:54.7699795Z several quantized input planes. 2024-12-18T00:12:54.7699931Z 2024-12-18T00:12:54.7700303Z For details on input arguments, parameters, and implementation see 2024-12-18T00:12:54.7700475Z :class:`~torch.nn.Conv1d`. 2024-12-18T00:12:54.7700624Z 2024-12-18T00:12:54.7700774Z .. note:: 2024-12-18T00:12:54.7701110Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2024-12-18T00:12:54.7701264Z 2024-12-18T00:12:54.7701407Z .. note:: 2024-12-18T00:12:54.7701716Z Only `torch.quint8` is supported for the input data type. 2024-12-18T00:12:54.7701858Z 2024-12-18T00:12:54.7702007Z 2024-12-18T00:12:54.7702152Z Attributes: 2024-12-18T00:12:54.7702513Z weight (Tensor): packed tensor derived from the learnable weight 2024-12-18T00:12:54.7702702Z parameter. 2024-12-18T00:12:54.7702941Z scale (Tensor): scalar for the output scale 2024-12-18T00:12:54.7703229Z zero_point (Tensor): scalar for the output zero point 2024-12-18T00:12:54.7703362Z 2024-12-18T00:12:54.7703613Z See :class:`~torch.nn.Conv1d` for other attributes. 2024-12-18T00:12:54.7703762Z 2024-12-18T00:12:54.7703910Z Examples:: 2024-12-18T00:12:54.7704051Z 2024-12-18T00:12:54.7704302Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2024-12-18T00:12:54.7704568Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2024-12-18T00:12:54.7704757Z >>> input = torch.randn(20, 16, 100) 2024-12-18T00:12:54.7704944Z >>> # quantize input to quint8 2024-12-18T00:12:54.7705117Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7705474Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2024-12-18T00:12:54.7705731Z ... dtype=torch.quint8) 2024-12-18T00:12:54.7705933Z >>> output = m(q_input) 2024-12-18T00:12:54.7706068Z 2024-12-18T00:12:54.7706233Z 2024-12-18T00:12:54.7706668Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7706818Z 2024-12-18T00:12:54.7706984Z warnings.warn(msg) 2024-12-18T00:12:54.7707133Z 2024-12-18T00:12:54.7707449Z --- Parse Warning: 28 / 105 --- 2024-12-18T00:12:54.7709028Z /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. 2024-12-18T00:12:54.7709539Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7709755Z A quantized long short-term memory (LSTM). 2024-12-18T00:12:54.7709911Z 2024-12-18T00:12:54.7710396Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2024-12-18T00:12:54.7710549Z 2024-12-18T00:12:54.7710701Z Attributes: 2024-12-18T00:12:54.7710910Z layers : instances of the `_LSTMLayer` 2024-12-18T00:12:54.7711068Z 2024-12-18T00:12:54.7711222Z .. note:: 2024-12-18T00:12:54.7711608Z To access the weights and biases, you need to access them per layer. 2024-12-18T00:12:54.7711902Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2024-12-18T00:12:54.7712045Z 2024-12-18T00:12:54.7712219Z Examples:: 2024-12-18T00:12:54.7712385Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7712581Z >>> custom_module_config = { 2024-12-18T00:12:54.7712818Z ... 'float_to_observed_custom_module_class': { 2024-12-18T00:12:54.7713041Z ... nn.LSTM: nn.quantizable.LSTM, 2024-12-18T00:12:54.7713188Z ... }, 2024-12-18T00:12:54.7713444Z ... 'observed_to_quantized_custom_module_class': { 2024-12-18T00:12:54.7713697Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2024-12-18T00:12:54.7713844Z ... } 2024-12-18T00:12:54.7713998Z ... } 2024-12-18T00:12:54.7714377Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2024-12-18T00:12:54.7714746Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2024-12-18T00:12:54.7714898Z 2024-12-18T00:12:54.7715334Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7715490Z 2024-12-18T00:12:54.7715655Z warnings.warn(msg) 2024-12-18T00:12:54.7715806Z 2024-12-18T00:12:54.7716122Z --- Parse Warning: 29 / 105 --- 2024-12-18T00:12:54.7719251Z /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. 2024-12-18T00:12:54.7719727Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7720024Z Squashes the sparse masks into the appropriate tensors. 2024-12-18T00:12:54.7720170Z 2024-12-18T00:12:54.7720521Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2024-12-18T00:12:54.7720841Z the module will have a `sparse_params` dict attached to it. 2024-12-18T00:12:54.7720976Z 2024-12-18T00:12:54.7721161Z Args: 2024-12-18T00:12:54.7721565Z params_to_keep: List of keys to save in the module or a dict 2024-12-18T00:12:54.7721838Z representing the modules and keys that will have 2024-12-18T00:12:54.7722056Z sparsity parameters saved 2024-12-18T00:12:54.7722416Z params_to_keep_per_layer: Dict to specify the params that should be 2024-12-18T00:12:54.7722778Z saved for specific layers. The keys in the dict 2024-12-18T00:12:54.7723040Z should be the module fqn, while the values should 2024-12-18T00:12:54.7723307Z be a list of strings with the names of the variables 2024-12-18T00:12:54.7723531Z to save in the `sparse_params` 2024-12-18T00:12:54.7723666Z 2024-12-18T00:12:54.7723826Z Examples: 2024-12-18T00:12:54.7724045Z >>> # xdoctest: +SKIP("locals are undefined") 2024-12-18T00:12:54.7724257Z >>> # Don't save any sparse params 2024-12-18T00:12:54.7724452Z >>> sparsifier.squash_mask() 2024-12-18T00:12:54.7724715Z >>> hasattr(model.submodule1, 'sparse_params') 2024-12-18T00:12:54.7724873Z False 2024-12-18T00:12:54.7725011Z 2024-12-18T00:12:54.7725223Z >>> # Keep sparse params per layer 2024-12-18T00:12:54.7725413Z >>> sparsifier.squash_mask( 2024-12-18T00:12:54.7725606Z ... params_to_keep_per_layer={ 2024-12-18T00:12:54.7725839Z ... 'submodule1.linear1': ('foo', 'bar'), 2024-12-18T00:12:54.7726047Z ... 'submodule2.linear42': ('baz',) 2024-12-18T00:12:54.7726209Z ... }) 2024-12-18T00:12:54.7726471Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:54.7726651Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:54.7726919Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:54.7727074Z {'baz': 0.1} 2024-12-18T00:12:54.7727225Z 2024-12-18T00:12:54.7727437Z >>> # Keep sparse params for all layers 2024-12-18T00:12:54.7727745Z >>> sparsifier.squash_mask(params_to_keep=('foo', 'bar')) 2024-12-18T00:12:54.7728002Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:54.7728180Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:54.7728448Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:54.7728610Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:54.7728763Z 2024-12-18T00:12:54.7729099Z >>> # Keep some sparse params for all layers, and specific ones for 2024-12-18T00:12:54.7729287Z >>> # some other layers 2024-12-18T00:12:54.7729474Z >>> sparsifier.squash_mask( 2024-12-18T00:12:54.7729671Z ... params_to_keep=('foo', 'bar'), 2024-12-18T00:12:54.7729881Z ... params_to_keep_per_layer={ 2024-12-18T00:12:54.7730084Z ... 'submodule2.linear42': ('baz',) 2024-12-18T00:12:54.7730248Z ... }) 2024-12-18T00:12:54.7730506Z >>> print(model.submodule1.linear1.sparse_params) 2024-12-18T00:12:54.7730686Z {'foo': 42, 'bar': 24} 2024-12-18T00:12:54.7730954Z >>> print(model.submodule2.linear42.sparse_params) 2024-12-18T00:12:54.7731138Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2024-12-18T00:12:54.7731298Z 2024-12-18T00:12:54.7731737Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7731890Z 2024-12-18T00:12:54.7732053Z warnings.warn(msg) 2024-12-18T00:12:54.7732191Z 2024-12-18T00:12:54.7732534Z --- Parse Warning: 30 / 105 --- 2024-12-18T00:12:54.7734357Z /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. 2024-12-18T00:12:54.7734951Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7735089Z 2024-12-18T00:12:54.7735544Z Config object that specifies the supported data types passed as arguments to 2024-12-18T00:12:54.7736018Z quantize ops in the reference model spec, for input and output activations, 2024-12-18T00:12:54.7736195Z weights, and biases. 2024-12-18T00:12:54.7736339Z 2024-12-18T00:12:54.7736616Z For example, consider the following reference model: 2024-12-18T00:12:54.7736766Z 2024-12-18T00:12:54.7737030Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2024-12-18T00:12:54.7737181Z 2024-12-18T00:12:54.7737548Z The pattern in the square brackets refers to the reference pattern of 2024-12-18T00:12:54.7737956Z statically quantized linear. Setting the input dtype as `torch.quint8` 2024-12-18T00:12:54.7738371Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2024-12-18T00:12:54.7738788Z to the first quantize op (quant1). Similarly, setting the output dtype as 2024-12-18T00:12:54.7739177Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2024-12-18T00:12:54.7739365Z the second quantize op (quant2). 2024-12-18T00:12:54.7739524Z 2024-12-18T00:12:54.7739897Z Note that the dtype here does not refer to the interface dtypes of the 2024-12-18T00:12:54.7740252Z op. For example, the "input dtype" here is not the dtype of the input 2024-12-18T00:12:54.7740638Z tensor passed to the quantized linear op. Though it can still be the 2024-12-18T00:12:54.7740976Z same as the interface dtype, this is not always the case, e.g. the 2024-12-18T00:12:54.7741363Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2024-12-18T00:12:54.7741732Z specified in the DTypeConfig would still be quint8. The semantics of 2024-12-18T00:12:54.7742097Z dtypes here are the same as the semantics of the dtypes specified in 2024-12-18T00:12:54.7742252Z the observers. 2024-12-18T00:12:54.7742390Z 2024-12-18T00:12:54.7742762Z These dtypes are matched against the ones specified in the user's 2024-12-18T00:12:54.7743127Z QConfig. If there is a match, and the QConfig satisfies the constraints 2024-12-18T00:12:54.7743526Z specified in the DTypeConfig (if any), then we will quantize the given 2024-12-18T00:12:54.7743913Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2024-12-18T00:12:54.7744104Z the pattern will not be quantized. 2024-12-18T00:12:54.7744252Z 2024-12-18T00:12:54.7744417Z Example usage:: 2024-12-18T00:12:54.7744566Z 2024-12-18T00:12:54.7744744Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:54.7744941Z >>> dtype_config1 = DTypeConfig( 2024-12-18T00:12:54.7745126Z ... input_dtype=torch.quint8, 2024-12-18T00:12:54.7745311Z ... output_dtype=torch.quint8, 2024-12-18T00:12:54.7745505Z ... weight_dtype=torch.qint8, 2024-12-18T00:12:54.7745685Z ... bias_dtype=torch.float) 2024-12-18T00:12:54.7745835Z 2024-12-18T00:12:54.7746012Z >>> dtype_config2 = DTypeConfig( 2024-12-18T00:12:54.7746224Z ... input_dtype=DTypeWithConstraints( 2024-12-18T00:12:54.7746412Z ... dtype=torch.quint8, 2024-12-18T00:12:54.7746589Z ... quant_min_lower_bound=0, 2024-12-18T00:12:54.7746789Z ... quant_max_upper_bound=255, 2024-12-18T00:12:54.7746931Z ... ), 2024-12-18T00:12:54.7747153Z ... output_dtype=DTypeWithConstraints( 2024-12-18T00:12:54.7747323Z ... dtype=torch.quint8, 2024-12-18T00:12:54.7747502Z ... quant_min_lower_bound=0, 2024-12-18T00:12:54.7747702Z ... quant_max_upper_bound=255, 2024-12-18T00:12:54.7747877Z ... ), 2024-12-18T00:12:54.7748103Z ... weight_dtype=DTypeWithConstraints( 2024-12-18T00:12:54.7748275Z ... dtype=torch.qint8, 2024-12-18T00:12:54.7748468Z ... quant_min_lower_bound=-128, 2024-12-18T00:12:54.7748670Z ... quant_max_upper_bound=127, 2024-12-18T00:12:54.7748811Z ... ), 2024-12-18T00:12:54.7749002Z ... bias_dtype=torch.float) 2024-12-18T00:12:54.7749170Z 2024-12-18T00:12:54.7749384Z >>> dtype_config1.input_dtype 2024-12-18T00:12:54.7749553Z torch.quint8 2024-12-18T00:12:54.7749694Z 2024-12-18T00:12:54.7749889Z >>> dtype_config2.input_dtype 2024-12-18T00:12:54.7750037Z torch.quint8 2024-12-18T00:12:54.7750183Z 2024-12-18T00:12:54.7750411Z >>> dtype_config2.input_dtype_with_constraints 2024-12-18T00:12:54.7751365Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2024-12-18T00:12:54.7751517Z 2024-12-18T00:12:54.7751951Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7752103Z 2024-12-18T00:12:54.7752296Z warnings.warn(msg) 2024-12-18T00:12:54.7752439Z 2024-12-18T00:12:54.7752775Z --- Parse Warning: 31 / 105 --- 2024-12-18T00:12:54.7755001Z /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. 2024-12-18T00:12:54.7755473Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7755618Z 2024-12-18T00:12:54.7756101Z Takes in optional filter values and generates two tables with desired information. 2024-12-18T00:12:54.7756240Z 2024-12-18T00:12:54.7756622Z The generated tables are presented in both a list-of-lists format 2024-12-18T00:12:54.7756758Z 2024-12-18T00:12:54.7757117Z The reason for the two tables are that they handle different things: 2024-12-18T00:12:54.7757417Z 1.) the first table handles all tensor level information 2024-12-18T00:12:54.7757787Z 2.) the second table handles and displays all channel based information 2024-12-18T00:12:54.7758087Z 2024-12-18T00:12:54.7758651Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-12-18T00:12:54.7759222Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-12-18T00:12:54.7759852Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-12-18T00:12:54.7759994Z 2024-12-18T00:12:54.7760174Z Tensor table columns: 2024-12-18T00:12:54.7760498Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:54.7760771Z ---- --------- --------- --------- --------- --------- 2024-12-18T00:12:54.7760911Z 2024-12-18T00:12:54.7761092Z Per-Channel table columns: 2024-12-18T00:12:54.7761548Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:54.7761825Z ---- --------- ------- --------- --------- --------- --------- 2024-12-18T00:12:54.7761981Z 2024-12-18T00:12:54.7762124Z Args: 2024-12-18T00:12:54.7762593Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:54.7762781Z contain this filter substring 2024-12-18T00:12:54.7763058Z Default = "", results in all the features being printed 2024-12-18T00:12:54.7763527Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:54.7763952Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:54.7764192Z 2024-12-18T00:12:54.7764383Z Returns a dictionary with two keys: 2024-12-18T00:12:54.7764697Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2024-12-18T00:12:54.7764910Z "tensor_level_info", "channel_level_info" 2024-12-18T00:12:54.7765094Z Each key maps to a tuple with: 2024-12-18T00:12:54.7765310Z A list of the headers of each table 2024-12-18T00:12:54.7765701Z A list of lists containing the table information row by row 2024-12-18T00:12:54.7766013Z The 0th index row will contain the headers of the columns 2024-12-18T00:12:54.7766222Z The rest of the rows will contain data 2024-12-18T00:12:54.7766362Z 2024-12-18T00:12:54.7766535Z Example Use: 2024-12-18T00:12:54.7766749Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.7767017Z >>> mod_report_visualizer.generate_filtered_tables( 2024-12-18T00:12:54.7767230Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:54.7767429Z ... module_fqn_filter = "block1" 2024-12-18T00:12:54.7767945Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2024-12-18T00:12:54.7768089Z 2024-12-18T00:12:54.7768543Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7768682Z 2024-12-18T00:12:54.7768865Z warnings.warn(msg) 2024-12-18T00:12:54.7769004Z 2024-12-18T00:12:54.7769330Z --- Parse Warning: 32 / 105 --- 2024-12-18T00:12:54.7771599Z /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. 2024-12-18T00:12:54.7772053Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7772205Z 2024-12-18T00:12:54.7772673Z Takes in optional filter values and prints out formatted tables of the information. 2024-12-18T00:12:54.7772822Z 2024-12-18T00:12:54.7773425Z The reason for the two tables printed out instead of one large one are that they handle different things: 2024-12-18T00:12:54.7773713Z 1.) the first table handles all tensor level information 2024-12-18T00:12:54.7774091Z 2.) the second table handles and displays all channel based information 2024-12-18T00:12:54.7774228Z 2024-12-18T00:12:54.7774800Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2024-12-18T00:12:54.7775367Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2024-12-18T00:12:54.7775994Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2024-12-18T00:12:54.7776134Z 2024-12-18T00:12:54.7776316Z Tensor table columns: 2024-12-18T00:12:54.7776641Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:54.7776891Z ---- --------- --------- --------- --------- --------- 2024-12-18T00:12:54.7777039Z 2024-12-18T00:12:54.7777219Z Per-Channel table columns: 2024-12-18T00:12:54.7777374Z 2024-12-18T00:12:54.7777755Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2024-12-18T00:12:54.7778029Z ---- --------- ------- --------- --------- --------- --------- 2024-12-18T00:12:54.7778181Z 2024-12-18T00:12:54.7778325Z Args: 2024-12-18T00:12:54.7778799Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:54.7778985Z contain this filter substring 2024-12-18T00:12:54.7779271Z Default = "", results in all the features being printed 2024-12-18T00:12:54.7779724Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:54.7780185Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:54.7780342Z 2024-12-18T00:12:54.7780497Z Example Use: 2024-12-18T00:12:54.7780721Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.7781002Z >>> mod_report_visualizer.generate_table_visualization( 2024-12-18T00:12:54.7781304Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:54.7781488Z ... module_fqn_filter = "block1" 2024-12-18T00:12:54.7781630Z ... ) 2024-12-18T00:12:54.7781974Z >>> # prints out neatly formatted table with per_channel_min info 2024-12-18T00:12:54.7782179Z >>> # for all modules in block 1 of the model 2024-12-18T00:12:54.7782329Z 2024-12-18T00:12:54.7782767Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7782904Z 2024-12-18T00:12:54.7783080Z warnings.warn(msg) 2024-12-18T00:12:54.7783217Z 2024-12-18T00:12:54.7783551Z --- Parse Warning: 33 / 105 --- 2024-12-18T00:12:54.7785827Z /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=566. 2024-12-18T00:12:54.7786303Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7786448Z 2024-12-18T00:12:54.7786857Z Takes in a feature and optional module_filter and plots of the desired data. 2024-12-18T00:12:54.7787010Z 2024-12-18T00:12:54.7787481Z For per channel features, it averages the value across the channels and plots a point 2024-12-18T00:12:54.7787939Z per module. The reason for this is that for models with hundreds of channels, it can 2024-12-18T00:12:54.7788424Z be hard to differentiate one channel line from another, and so the point of generating 2024-12-18T00:12:54.7788914Z a single average point per module is to give a sense of general trends that encourage 2024-12-18T00:12:54.7789079Z further deep dives. 2024-12-18T00:12:54.7789214Z 2024-12-18T00:12:54.7789372Z Note: 2024-12-18T00:12:54.7789834Z Only features in the report that have tensor value data are plottable by this class 2024-12-18T00:12:54.7790136Z When the tensor information is plotted, it will plot: 2024-12-18T00:12:54.7790363Z idx as the x val, feature value as the y_val 2024-12-18T00:12:54.7790657Z When the channel information is plotted, it will plot: 2024-12-18T00:12:54.7791114Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2024-12-18T00:12:54.7791507Z The reason for this is that we want to be able to compare values across the 2024-12-18T00:12:54.7791919Z channels for same layer, and it will be hard if values are staggered by idx 2024-12-18T00:12:54.7792208Z This means each module is represented by only 1 x value 2024-12-18T00:12:54.7792364Z Args: 2024-12-18T00:12:54.7792754Z feature_filter (str): Filters the features presented to only those that 2024-12-18T00:12:54.7792952Z contain this filter substring 2024-12-18T00:12:54.7793407Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:54.7793835Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:54.7793987Z 2024-12-18T00:12:54.7794140Z Example Use: 2024-12-18T00:12:54.7794364Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.7794642Z >>> mod_report_visualizer.generate_plot_visualization( 2024-12-18T00:12:54.7794863Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:54.7795047Z ... module_fqn_filter = "block1" 2024-12-18T00:12:54.7795221Z ... ) 2024-12-18T00:12:54.7795548Z >>> # outputs line plot of per_channel_min information for all 2024-12-18T00:12:54.7795869Z >>> # modules in block1 of model each channel gets it's own line, 2024-12-18T00:12:54.7796176Z >>> # and it's plotted across the in-order modules on the x-axis 2024-12-18T00:12:54.7796315Z 2024-12-18T00:12:54.7796781Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7796971Z 2024-12-18T00:12:54.7797133Z warnings.warn(msg) 2024-12-18T00:12:54.7797284Z 2024-12-18T00:12:54.7797603Z --- Parse Warning: 34 / 105 --- 2024-12-18T00:12:54.7799914Z /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=646. 2024-12-18T00:12:54.7800373Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7800511Z 2024-12-18T00:12:54.7801040Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2024-12-18T00:12:54.7801185Z 2024-12-18T00:12:54.7801336Z Note: 2024-12-18T00:12:54.7801897Z Only features in the report that have tensor value data can be viewed as a histogram 2024-12-18T00:12:54.7802370Z If you want to plot a histogram from all the channel values of a specific feature for 2024-12-18T00:12:54.7802800Z a specific model, make sure to specify both the model and the feature properly 2024-12-18T00:12:54.7803224Z in the filters and you should be able to see a distribution of the channel data 2024-12-18T00:12:54.7803375Z 2024-12-18T00:12:54.7803518Z Args: 2024-12-18T00:12:54.7803988Z feature_filter (str, optional): Filters the features presented to only those that 2024-12-18T00:12:54.7804175Z contain this filter substring 2024-12-18T00:12:54.7804462Z Default = "", results in all the features being printed 2024-12-18T00:12:54.7804912Z module_fqn_filter (str, optional): Only includes modules that contains this string 2024-12-18T00:12:54.7805333Z Default = "", results in all the modules in the reports to be visible in the table 2024-12-18T00:12:54.7805735Z num_bins (int, optional): The number of bins to create the histogram with 2024-12-18T00:12:54.7806050Z Default = 10, the values will be split into 10 equal sized bins 2024-12-18T00:12:54.7806201Z 2024-12-18T00:12:54.7806349Z Example Use: 2024-12-18T00:12:54.7806525Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7807046Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2024-12-18T00:12:54.7807253Z ... feature_filter = "per_channel_min", 2024-12-18T00:12:54.7807448Z ... module_fqn_filter = "block1" 2024-12-18T00:12:54.7807592Z ... ) 2024-12-18T00:12:54.7808084Z # outputs histogram of per_channel_min information for all modules in block1 of model 2024-12-18T00:12:54.7808537Z information is gathered across all channels for all modules in block 1 for the 2024-12-18T00:12:54.7808922Z per_channel_min and is displayed in a histogram of equally sized bins 2024-12-18T00:12:54.7809064Z 2024-12-18T00:12:54.7809502Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7809656Z 2024-12-18T00:12:54.7809820Z warnings.warn(msg) 2024-12-18T00:12:54.7809967Z 2024-12-18T00:12:54.7810288Z --- Parse Warning: 35 / 105 --- 2024-12-18T00:12:54.7811963Z /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=660. 2024-12-18T00:12:54.7812453Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2024-12-18T00:12:54.7812593Z 2024-12-18T00:12:54.7813075Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2024-12-18T00:12:54.7813534Z The submesh created consists of the dimensions and the communicators indicated by 2024-12-18T00:12:54.7813701Z ``mesh_dim_names`` 2024-12-18T00:12:54.7813903Z 2024-12-18T00:12:54.7814055Z Args: 2024-12-18T00:12:54.7814475Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2024-12-18T00:12:54.7814794Z mesh dimension of the DeviceMesh to create the submesh for. 2024-12-18T00:12:54.7814953Z Returns: 2024-12-18T00:12:54.7815134Z A :class:`DeviceMesh` object 2024-12-18T00:12:54.7815284Z 2024-12-18T00:12:54.7815778Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2024-12-18T00:12:54.7815944Z In the first example: 2024-12-18T00:12:54.7816386Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2024-12-18T00:12:54.7816850Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2024-12-18T00:12:54.7817248Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2024-12-18T00:12:54.7817641Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2024-12-18T00:12:54.7818037Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2024-12-18T00:12:54.7818416Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2024-12-18T00:12:54.7818555Z 2024-12-18T00:12:54.7818742Z In the second example: 2024-12-18T00:12:54.7819199Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2024-12-18T00:12:54.7819662Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2024-12-18T00:12:54.7820111Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2024-12-18T00:12:54.7820572Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2024-12-18T00:12:54.7820715Z 2024-12-18T00:12:54.7820875Z Example:: 2024-12-18T00:12:54.7821074Z >>> # xdoctest: +SKIP("no rank") 2024-12-18T00:12:54.7821366Z >>> from torch.distributed.device_mesh import DeviceMesh 2024-12-18T00:12:54.7821525Z >>> 2024-12-18T00:12:54.7821867Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2024-12-18T00:12:54.7822118Z >>> # of cross-host(dim 0), and within-host (dim 1). 2024-12-18T00:12:54.7822553Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-12-18T00:12:54.7822724Z >>> tp_mesh = mesh_2d["tp"] 2024-12-18T00:12:54.7822915Z >>> dp_mesh = mesh_2d["dp"] 2024-12-18T00:12:54.7823062Z >>> 2024-12-18T00:12:54.7823244Z >>> # Initialize a 3D mesh. 2024-12-18T00:12:54.7823720Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2024-12-18T00:12:54.7824246Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2024-12-18T00:12:54.7824464Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2024-12-18T00:12:54.7824651Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2024-12-18T00:12:54.7824802Z 2024-12-18T00:12:54.7825986Z 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)) 2024-12-18T00:12:54.7826149Z 2024-12-18T00:12:54.7826575Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2024-12-18T00:12:54.7826811Z ^ 2024-12-18T00:12:54.7826992Z warnings.warn(msg) 2024-12-18T00:12:54.7827132Z 2024-12-18T00:12:54.7827465Z --- Parse Warning: 36 / 105 --- 2024-12-18T00:12:54.7829179Z /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=3063. 2024-12-18T00:12:54.7829683Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7829821Z 2024-12-18T00:12:54.7830208Z Gathers picklable objects from the whole group in a single process. 2024-12-18T00:12:54.7830358Z 2024-12-18T00:12:54.7830758Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2024-12-18T00:12:54.7831021Z object must be picklable in order to be gathered. 2024-12-18T00:12:54.7831159Z 2024-12-18T00:12:54.7831308Z Args: 2024-12-18T00:12:54.7831525Z obj (Any): Input object. Must be picklable. 2024-12-18T00:12:54.7831912Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2024-12-18T00:12:54.7832242Z should be correctly sized as the size of the group for this 2024-12-18T00:12:54.7832617Z collective and will contain the output. Must be ``None`` on non-dst 2024-12-18T00:12:54.7832812Z ranks. (default is ``None``) 2024-12-18T00:12:54.7833371Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2024-12-18T00:12:54.7833714Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2024-12-18T00:12:54.7834112Z group: (ProcessGroup, optional): The process group to work on. If None, 2024-12-18T00:12:54.7834434Z the default process group will be used. Default is ``None``. 2024-12-18T00:12:54.7835054Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2024-12-18T00:12:54.7835192Z 2024-12-18T00:12:54.7835351Z Returns: 2024-12-18T00:12:54.7835661Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2024-12-18T00:12:54.7835850Z output of the collective. 2024-12-18T00:12:54.7835991Z 2024-12-18T00:12:54.7836360Z .. note:: Note that this API differs slightly from the gather collective 2024-12-18T00:12:54.7836754Z since it does not provide an async_op handle and thus will be a blocking 2024-12-18T00:12:54.7836894Z call. 2024-12-18T00:12:54.7837048Z 2024-12-18T00:12:54.7837448Z .. note:: For NCCL-based processed groups, internal tensor representations 2024-12-18T00:12:54.7837826Z of objects must be moved to the GPU device before communication takes 2024-12-18T00:12:54.7838073Z place. In this case, the device used is given by 2024-12-18T00:12:54.7838446Z ``torch.cuda.current_device()`` and it is the user's responsiblity to 2024-12-18T00:12:54.7838818Z ensure that this is set so that each rank has an individual GPU, via 2024-12-18T00:12:54.7838999Z ``torch.cuda.set_device()``. 2024-12-18T00:12:54.7839159Z 2024-12-18T00:12:54.7839306Z .. warning:: 2024-12-18T00:12:54.7839641Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2024-12-18T00:12:54.7840036Z known to be insecure. It is possible to construct malicious pickle data 2024-12-18T00:12:54.7840408Z which will execute arbitrary code during unpickling. Only call this 2024-12-18T00:12:54.7840608Z function with data you trust. 2024-12-18T00:12:54.7840741Z 2024-12-18T00:12:54.7840903Z .. warning:: 2024-12-18T00:12:54.7841268Z Calling :func:`gather_object` with GPU tensors is not well supported 2024-12-18T00:12:54.7841741Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2024-12-18T00:12:54.7842107Z pickled. Please consider using :func:`gather` instead. 2024-12-18T00:12:54.7842247Z 2024-12-18T00:12:54.7842415Z Example:: 2024-12-18T00:12:54.7842648Z >>> # xdoctest: +SKIP("need process group init") 2024-12-18T00:12:54.7842967Z >>> # Note: Process group initialization omitted on each rank. 2024-12-18T00:12:54.7843173Z >>> import torch.distributed as dist 2024-12-18T00:12:54.7843414Z >>> # Assumes world_size of 3. 2024-12-18T00:12:54.7843730Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2024-12-18T00:12:54.7843937Z >>> output = [None for _ in gather_objects] 2024-12-18T00:12:54.7844119Z >>> dist.gather_object( 2024-12-18T00:12:54.7844319Z ... gather_objects[dist.get_rank()], 2024-12-18T00:12:54.7844539Z ... output if dist.get_rank() == 0 else None, 2024-12-18T00:12:54.7844703Z ... dst=0 2024-12-18T00:12:54.7844847Z ... ) 2024-12-18T00:12:54.7845015Z >>> # On rank 0 2024-12-18T00:12:54.7845158Z >>> output 2024-12-18T00:12:54.7845324Z ['foo', 12, {1: 2}] 2024-12-18T00:12:54.7845458Z 2024-12-18T00:12:54.7845928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7846080Z 2024-12-18T00:12:54.7846242Z warnings.warn(msg) 2024-12-18T00:12:54.7846392Z 2024-12-18T00:12:54.7846719Z --- Parse Warning: 37 / 105 --- 2024-12-18T00:12:54.7848218Z /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. 2024-12-18T00:12:54.7848693Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7848829Z 2024-12-18T00:12:54.7849045Z Module ``torch.distributed.launch``. 2024-12-18T00:12:54.7849185Z 2024-12-18T00:12:54.7849630Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2024-12-18T00:12:54.7849891Z training processes on each of the training nodes. 2024-12-18T00:12:54.7850029Z 2024-12-18T00:12:54.7850189Z .. warning:: 2024-12-18T00:12:54.7850325Z 2024-12-18T00:12:54.7850775Z This module is going to be deprecated in favor of :ref:`torchrun `. 2024-12-18T00:12:54.7850913Z 2024-12-18T00:12:54.7851334Z The utility can be used for single-node distributed training, in which one or 2024-12-18T00:12:54.7851759Z more processes per node will be spawned. The utility can be used for either 2024-12-18T00:12:54.7852126Z CPU training or GPU training. If the utility is used for GPU training, 2024-12-18T00:12:54.7852567Z each distributed process will be operating on a single GPU. This can achieve 2024-12-18T00:12:54.7852968Z well-improved single-node training performance. It can also be used in 2024-12-18T00:12:54.7853441Z multi-node distributed training, by spawning up multiple processes on each node 2024-12-18T00:12:54.7853847Z for well-improved multi-node distributed training performance as well. 2024-12-18T00:12:54.7854253Z This will especially be beneficial for systems with multiple Infiniband 2024-12-18T00:12:54.7854720Z interfaces that have direct-GPU support, since all of them can be utilized for 2024-12-18T00:12:54.7854915Z aggregated communication bandwidth. 2024-12-18T00:12:54.7855067Z 2024-12-18T00:12:54.7855475Z In both cases of single-node distributed training or multi-node distributed 2024-12-18T00:12:54.7855893Z training, this utility will launch the given number of processes per node 2024-12-18T00:12:54.7856278Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2024-12-18T00:12:54.7856653Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2024-12-18T00:12:54.7857012Z and each process will be operating on a single GPU from *GPU 0 to 2024-12-18T00:12:54.7857228Z GPU (nproc_per_node - 1)*. 2024-12-18T00:12:54.7857376Z 2024-12-18T00:12:54.7857545Z **How to use this module:** 2024-12-18T00:12:54.7857698Z 2024-12-18T00:12:54.7858094Z 1. Single-Node multi-process distributed training 2024-12-18T00:12:54.7858232Z 2024-12-18T00:12:54.7858389Z :: 2024-12-18T00:12:54.7858525Z 2024-12-18T00:12:54.7858944Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:54.7859388Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2024-12-18T00:12:54.7859598Z arguments of your training script) 2024-12-18T00:12:54.7859758Z 2024-12-18T00:12:54.7860118Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2024-12-18T00:12:54.7860269Z 2024-12-18T00:12:54.7860407Z 2024-12-18T00:12:54.7860664Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2024-12-18T00:12:54.7860801Z 2024-12-18T00:12:54.7860947Z :: 2024-12-18T00:12:54.7861100Z 2024-12-18T00:12:54.7861504Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:54.7861821Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2024-12-18T00:12:54.7862176Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-12-18T00:12:54.7862431Z and all other arguments of your training script) 2024-12-18T00:12:54.7862586Z 2024-12-18T00:12:54.7862731Z Node 2: 2024-12-18T00:12:54.7862879Z 2024-12-18T00:12:54.7863022Z :: 2024-12-18T00:12:54.7863155Z 2024-12-18T00:12:54.7863563Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2024-12-18T00:12:54.7863825Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2024-12-18T00:12:54.7864191Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2024-12-18T00:12:54.7864444Z and all other arguments of your training script) 2024-12-18T00:12:54.7864597Z 2024-12-18T00:12:54.7864870Z 3. To look up what optional arguments this module offers: 2024-12-18T00:12:54.7865004Z 2024-12-18T00:12:54.7865160Z :: 2024-12-18T00:12:54.7865299Z 2024-12-18T00:12:54.7865541Z python -m torch.distributed.launch --help 2024-12-18T00:12:54.7865682Z 2024-12-18T00:12:54.7865824Z 2024-12-18T00:12:54.7866003Z **Important Notices:** 2024-12-18T00:12:54.7866144Z 2024-12-18T00:12:54.7866484Z 1. This utility and multi-process distributed (single-node or 2024-12-18T00:12:54.7866916Z multi-node) GPU training currently only achieves the best performance using 2024-12-18T00:12:54.7867371Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2024-12-18T00:12:54.7867537Z use for GPU training. 2024-12-18T00:12:54.7867671Z 2024-12-18T00:12:54.7868054Z 2. In your training program, you must parse the command-line argument: 2024-12-18T00:12:54.7868451Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2024-12-18T00:12:54.7868867Z If your training program uses GPUs, you should ensure that your code only 2024-12-18T00:12:54.7869201Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2024-12-18T00:12:54.7869338Z 2024-12-18T00:12:54.7869537Z Parsing the local_rank argument 2024-12-18T00:12:54.7869680Z 2024-12-18T00:12:54.7869835Z :: 2024-12-18T00:12:54.7869978Z 2024-12-18T00:12:54.7870145Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7870317Z >>> import argparse 2024-12-18T00:12:54.7870531Z >>> parser = argparse.ArgumentParser() 2024-12-18T00:12:54.7870873Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2024-12-18T00:12:54.7871060Z >>> args = parser.parse_args() 2024-12-18T00:12:54.7871212Z 2024-12-18T00:12:54.7871425Z Set your device to local rank using either 2024-12-18T00:12:54.7871568Z 2024-12-18T00:12:54.7871724Z :: 2024-12-18T00:12:54.7871919Z 2024-12-18T00:12:54.7872279Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2024-12-18T00:12:54.7872421Z 2024-12-18T00:12:54.7872558Z or 2024-12-18T00:12:54.7872718Z 2024-12-18T00:12:54.7872856Z :: 2024-12-18T00:12:54.7873008Z 2024-12-18T00:12:54.7873233Z >>> with torch.cuda.device(args.local_rank): 2024-12-18T00:12:54.7873400Z >>> # your code to run 2024-12-18T00:12:54.7873630Z >>> ... 2024-12-18T00:12:54.7873772Z 2024-12-18T00:12:54.7873962Z .. versionchanged:: 2.0.0 2024-12-18T00:12:54.7874098Z 2024-12-18T00:12:54.7874536Z The launcher will passes the ``--local-rank=`` argument to your script. 2024-12-18T00:12:54.7874949Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2024-12-18T00:12:54.7875189Z previously used underscored ``--local_rank``. 2024-12-18T00:12:54.7875343Z 2024-12-18T00:12:54.7875755Z For backward compatibility, it may be necessary for users to handle both 2024-12-18T00:12:54.7876231Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2024-12-18T00:12:54.7876629Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2024-12-18T00:12:54.7877086Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2024-12-18T00:12:54.7877483Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2024-12-18T00:12:54.7877739Z including ``"--local-rank"`` should be sufficient. 2024-12-18T00:12:54.7877889Z 2024-12-18T00:12:54.7878293Z 3. In your training program, you are supposed to call the following function 2024-12-18T00:12:54.7878715Z at the beginning to start the distributed backend. It is strongly recommended 2024-12-18T00:12:54.7879081Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2024-12-18T00:12:54.7879419Z but ``env://`` is the one that is officially supported by this module. 2024-12-18T00:12:54.7879560Z 2024-12-18T00:12:54.7879698Z :: 2024-12-18T00:12:54.7879848Z 2024-12-18T00:12:54.7880198Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2024-12-18T00:12:54.7880430Z >>> init_method='env://') 2024-12-18T00:12:54.7880565Z 2024-12-18T00:12:54.7880977Z 4. In your training program, you can either use regular distributed functions 2024-12-18T00:12:54.7881397Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2024-12-18T00:12:54.7881825Z training program uses GPUs for training and you would like to use 2024-12-18T00:12:54.7882165Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2024-12-18T00:12:54.7882345Z here is how to configure it. 2024-12-18T00:12:54.7882495Z 2024-12-18T00:12:54.7882640Z :: 2024-12-18T00:12:54.7882775Z 2024-12-18T00:12:54.7883119Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2024-12-18T00:12:54.7883354Z >>> device_ids=[args.local_rank], 2024-12-18T00:12:54.7883613Z >>> output_device=args.local_rank) 2024-12-18T00:12:54.7883748Z 2024-12-18T00:12:54.7884167Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2024-12-18T00:12:54.7884591Z that your code will be operating on. This is generally the local rank of the 2024-12-18T00:12:54.7884997Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2024-12-18T00:12:54.7885383Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2024-12-18T00:12:54.7885525Z utility 2024-12-18T00:12:54.7885680Z 2024-12-18T00:12:54.7886096Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2024-12-18T00:12:54.7886460Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2024-12-18T00:12:54.7886889Z ``--use-env=True``. You must adjust the subprocess example above to replace 2024-12-18T00:12:54.7887223Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2024-12-18T00:12:54.7887528Z will not pass ``--local-rank`` when you specify this flag. 2024-12-18T00:12:54.7887669Z 2024-12-18T00:12:54.7887829Z .. warning:: 2024-12-18T00:12:54.7888005Z 2024-12-18T00:12:54.7888383Z ``local_rank`` is NOT globally unique: it is only unique per process 2024-12-18T00:12:54.7888719Z on a machine. Thus, don't use it to decide if you should, e.g., 2024-12-18T00:12:54.7888923Z write to a networked filesystem. See 2024-12-18T00:12:54.7889307Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2024-12-18T00:12:54.7889581Z how things can go wrong if you don't do this correctly. 2024-12-18T00:12:54.7889735Z 2024-12-18T00:12:54.7889877Z 2024-12-18T00:12:54.7890016Z 2024-12-18T00:12:54.7890166Z 2024-12-18T00:12:54.7890606Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7890762Z 2024-12-18T00:12:54.7890983Z warnings.warn(msg) 2024-12-18T00:12:54.7891122Z 2024-12-18T00:12:54.7891488Z --- Parse Warning: 38 / 105 --- 2024-12-18T00:12:54.7893330Z /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. 2024-12-18T00:12:54.7893806Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7893944Z 2024-12-18T00:12:54.7894377Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2024-12-18T00:12:54.7894629Z Needs to be called on all ranks in an SPMD fashion. 2024-12-18T00:12:54.7894769Z 2024-12-18T00:12:54.7894927Z Args: 2024-12-18T00:12:54.7895400Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2024-12-18T00:12:54.7895710Z of shards that represent the local shards on this rank. 2024-12-18T00:12:54.7896095Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2024-12-18T00:12:54.7896303Z shape of the overall sharded tensor. 2024-12-18T00:12:54.7896456Z 2024-12-18T00:12:54.7896612Z Keyword args: 2024-12-18T00:12:54.7897090Z process_group (ProcessGroup, optional): The process group to work on. If None, 2024-12-18T00:12:54.7897305Z the default process group will be used. 2024-12-18T00:12:54.7897617Z init_rrefs (bool, optional): Whether or not to initialize 2024-12-18T00:12:54.7897970Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-12-18T00:12:54.7898298Z Need to initialize the RPC Framework if specified as ``True``. 2024-12-18T00:12:54.7898481Z Default: ``False``. 2024-12-18T00:12:54.7898621Z 2024-12-18T00:12:54.7898778Z Returns: 2024-12-18T00:12:54.7899038Z A :class:`ShardedTensor` object handle on this rank 2024-12-18T00:12:54.7899190Z 2024-12-18T00:12:54.7899324Z 2024-12-18T00:12:54.7899476Z Examples: 2024-12-18T00:12:54.7899924Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2024-12-18T00:12:54.7900238Z each shard have a (5, 5) local tensor, we can do it like below: 2024-12-18T00:12:54.7900386Z 2024-12-18T00:12:54.7900532Z on rank 0: 2024-12-18T00:12:54.7900734Z >>> # xdoctest: +SKIP("not distributed") 2024-12-18T00:12:54.7900956Z >>> local_shard_metadata = ShardMetadata( 2024-12-18T00:12:54.7901128Z >>> shard_offsets=[0, 0], 2024-12-18T00:12:54.7901313Z >>> shard_lengths=[5, 5], 2024-12-18T00:12:54.7901495Z >>> placement="rank:0/cuda:0" 2024-12-18T00:12:54.7901675Z >>> ) 2024-12-18T00:12:54.7902024Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-12-18T00:12:54.7902367Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-12-18T00:12:54.7902514Z 2024-12-18T00:12:54.7902654Z on rank 1: 2024-12-18T00:12:54.7902861Z >>> # xdoctest: +SKIP("not distributed") 2024-12-18T00:12:54.7903067Z >>> local_shard_metadata = ShardMetadata( 2024-12-18T00:12:54.7903301Z >>> shard_offsets=[5, 0], 2024-12-18T00:12:54.7903489Z >>> shard_lengths=[5, 5], 2024-12-18T00:12:54.7903667Z >>> placement="rank:1/cuda:1" 2024-12-18T00:12:54.7903815Z >>> ) 2024-12-18T00:12:54.7904143Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2024-12-18T00:12:54.7904474Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2024-12-18T00:12:54.7904625Z 2024-12-18T00:12:54.7905059Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7905210Z 2024-12-18T00:12:54.7905374Z warnings.warn(msg) 2024-12-18T00:12:54.7905521Z 2024-12-18T00:12:54.7905884Z --- Parse Warning: 39 / 105 --- 2024-12-18T00:12:54.7907807Z /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. 2024-12-18T00:12:54.7908283Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7908421Z 2024-12-18T00:12:54.7908886Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2024-12-18T00:12:54.7909080Z size and sharding spec on each rank. 2024-12-18T00:12:54.7909230Z 2024-12-18T00:12:54.7909372Z Args: 2024-12-18T00:12:54.7909762Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2024-12-18T00:12:54.7910224Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2024-12-18T00:12:54.7910516Z The specification describing how to shard the Tensor. 2024-12-18T00:12:54.7910819Z global_size (Sequence[int]): Size of the sharded tensor. 2024-12-18T00:12:54.7911252Z process_group (ProcessGroup, optional): The process group to aggregate on. 2024-12-18T00:12:54.7911428Z Default: None 2024-12-18T00:12:54.7911723Z init_rrefs (bool, optional): Whether or not to initialize 2024-12-18T00:12:54.7912077Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2024-12-18T00:12:54.7912418Z Need to initialize the RPC Framework if specified as ``True``. 2024-12-18T00:12:54.7912579Z Default: ``False``. 2024-12-18T00:12:54.7912729Z 2024-12-18T00:12:54.7912878Z Returns: 2024-12-18T00:12:54.7913303Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2024-12-18T00:12:54.7913517Z tensor stored in the current rank. 2024-12-18T00:12:54.7913653Z 2024-12-18T00:12:54.7913811Z Examples: 2024-12-18T00:12:54.7913977Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7914219Z >>> # All tensors below are of torch.int64 type. 2024-12-18T00:12:54.7914414Z >>> # We have 2 process groups, 2 ranks. 2024-12-18T00:12:54.7914713Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2024-12-18T00:12:54.7915077Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2024-12-18T00:12:54.7915238Z >>> local_tensor 2024-12-18T00:12:54.7915420Z tensor([[1, 2, 3, 4]]) # Rank 0 2024-12-18T00:12:54.7915584Z tensor([[3, 4, 5, 6]]) # Rank 1 2024-12-18T00:12:54.7915743Z >>> sharding_dim = 0 2024-12-18T00:12:54.7915968Z >>> sharding_spec = ChunkShardingSpec( 2024-12-18T00:12:54.7916130Z dim=sharding_dim, 2024-12-18T00:12:54.7916344Z placements=[ 2024-12-18T00:12:54.7916506Z "rank:0/cuda:0", 2024-12-18T00:12:54.7916677Z "rank:1/cuda:1", 2024-12-18T00:12:54.7916823Z ], 2024-12-18T00:12:54.7916961Z ) 2024-12-18T00:12:54.7917424Z >>> st = ShardedTensor._init_from_local_tensor(local_tensor, sharding_spec, [2, 4]) 2024-12-18T00:12:54.7917567Z >>> st 2024-12-18T00:12:54.7917776Z ShardedTensor( 2024-12-18T00:12:54.7917989Z ShardedTensorMetadata( 2024-12-18T00:12:54.7918153Z shards_metadata=[ 2024-12-18T00:12:54.7918636Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2024-12-18T00:12:54.7919088Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2024-12-18T00:12:54.7919246Z ], 2024-12-18T00:12:54.7919421Z size=torch.Size([2, 4]) 2024-12-18T00:12:54.7919575Z ) 2024-12-18T00:12:54.7919739Z >>> st.local_tensor() 2024-12-18T00:12:54.7919903Z tensor([1, 2, 3, 4]) # Rank 0 2024-12-18T00:12:54.7920082Z tensor([3, 4, 5, 6]) # Rank 1 2024-12-18T00:12:54.7920255Z 2024-12-18T00:12:54.7920746Z Warning: This API is experimental and subject to change. It lacks of a fully across 2024-12-18T00:12:54.7921165Z rank validations, and we only validate the local shard on the current rank. 2024-12-18T00:12:54.7921630Z We fully rely on the user to ensure local tensor is sharded based on the 2024-12-18T00:12:54.7921795Z sharding spec. 2024-12-18T00:12:54.7921933Z 2024-12-18T00:12:54.7922389Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7922526Z 2024-12-18T00:12:54.7922710Z warnings.warn(msg) 2024-12-18T00:12:54.7922844Z 2024-12-18T00:12:54.7923170Z --- Parse Warning: 40 / 105 --- 2024-12-18T00:12:54.7925032Z /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. 2024-12-18T00:12:54.7925493Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7925654Z 2024-12-18T00:12:54.7926091Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2024-12-18T00:12:54.7926271Z single local shard. 2024-12-18T00:12:54.7926411Z 2024-12-18T00:12:54.7926792Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2024-12-18T00:12:54.7927223Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2024-12-18T00:12:54.7927406Z we swap local shards directly. 2024-12-18T00:12:54.7927871Z For more generic cases, we merge different shards across different ranks and split 2024-12-18T00:12:54.7928302Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2024-12-18T00:12:54.7928451Z 2024-12-18T00:12:54.7928593Z Args: 2024-12-18T00:12:54.7929093Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2024-12-18T00:12:54.7929382Z specification describing how the tensor is sharded. 2024-12-18T00:12:54.7929521Z 2024-12-18T00:12:54.7929683Z Returns: 2024-12-18T00:12:54.7930035Z A :class:`ShardedTensor` object whose local shards are resharded. 2024-12-18T00:12:54.7930182Z 2024-12-18T00:12:54.7930335Z Examples: 2024-12-18T00:12:54.7930496Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7930707Z >>> # We have 2 process groups, 2 ranks. 2024-12-18T00:12:54.7931000Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2024-12-18T00:12:54.7931216Z >>> tensor = torch.stack([tensor, tensor]) 2024-12-18T00:12:54.7931357Z >>> tensor 2024-12-18T00:12:54.7931553Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2024-12-18T00:12:54.7931803Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2024-12-18T00:12:54.7931995Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2024-12-18T00:12:54.7932211Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2024-12-18T00:12:54.7932374Z >>> sharding_dim = 0 2024-12-18T00:12:54.7932557Z >>> spec = ChunkShardingSpec( 2024-12-18T00:12:54.7932803Z dim=sharding_dim, 2024-12-18T00:12:54.7932962Z placements=[ 2024-12-18T00:12:54.7933135Z "rank:0/cuda:0", 2024-12-18T00:12:54.7933295Z "rank:1/cuda:1", 2024-12-18T00:12:54.7933463Z "rank:2/cuda:2", 2024-12-18T00:12:54.7933618Z "rank:3/cuda:3", 2024-12-18T00:12:54.7933765Z ], 2024-12-18T00:12:54.7933917Z ) 2024-12-18T00:12:54.7934094Z >>> current_offsets = [0] * 2 2024-12-18T00:12:54.7934287Z >>> current_offsets[0] = rank * 2 2024-12-18T00:12:54.7934483Z >>> shard_metadata = ShardMetadata( 2024-12-18T00:12:54.7934734Z shard_offsets=copy.deepcopy(current_offsets), 2024-12-18T00:12:54.7934968Z shard_sizes=tensor.size(), 2024-12-18T00:12:54.7935174Z placement=spec.placements[rank], 2024-12-18T00:12:54.7935329Z ) 2024-12-18T00:12:54.7935491Z >>> local_shards = [ 2024-12-18T00:12:54.7935637Z Shard( 2024-12-18T00:12:54.7935812Z tensor=tensor, 2024-12-18T00:12:54.7935994Z metadata=shard_metadata, 2024-12-18T00:12:54.7936151Z ) 2024-12-18T00:12:54.7936296Z ] 2024-12-18T00:12:54.7936707Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2024-12-18T00:12:54.7936868Z >>> sharding_dim = 1 2024-12-18T00:12:54.7937072Z >>> resharding_spec = ChunkShardingSpec( 2024-12-18T00:12:54.7937249Z dim=sharding_dim, 2024-12-18T00:12:54.7937411Z placements=[ 2024-12-18T00:12:54.7937586Z "rank:0/cuda:0", 2024-12-18T00:12:54.7937746Z "rank:1/cuda:1", 2024-12-18T00:12:54.7937904Z "rank:2/cuda:2", 2024-12-18T00:12:54.7938078Z "rank:3/cuda:3", 2024-12-18T00:12:54.7938221Z ], 2024-12-18T00:12:54.7938379Z ) 2024-12-18T00:12:54.7938566Z >>> st.reshard(resharding_spec) 2024-12-18T00:12:54.7938775Z >>> tensor = st.local_shards()[0].tensor 2024-12-18T00:12:54.7938917Z >>> tensor 2024-12-18T00:12:54.7939152Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2024-12-18T00:12:54.7939397Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2024-12-18T00:12:54.7939625Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2024-12-18T00:12:54.7939872Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2024-12-18T00:12:54.7940012Z 2024-12-18T00:12:54.7940457Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7940607Z 2024-12-18T00:12:54.7940769Z warnings.warn(msg) 2024-12-18T00:12:54.7940923Z 2024-12-18T00:12:54.7941252Z --- Parse Warning: 41 / 105 --- 2024-12-18T00:12:54.7943017Z /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. 2024-12-18T00:12:54.7943479Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7943616Z 2024-12-18T00:12:54.7944008Z Representation of a sharding plan, describes how to shard a module 2024-12-18T00:12:54.7944483Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2024-12-18T00:12:54.7944998Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2024-12-18T00:12:54.7945465Z layout of a module with a spec, and when to convert back to data parallel fashion. 2024-12-18T00:12:54.7945620Z 2024-12-18T00:12:54.7945765Z Args: 2024-12-18T00:12:54.7946227Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2024-12-18T00:12:54.7946522Z :class:`torch.distributed._shard.sharder.Sharder`]): 2024-12-18T00:12:54.7947080Z a dict describes how to shard a module, there're currently two ways to shard a module: 2024-12-18T00:12:54.7947533Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2024-12-18T00:12:54.7947738Z a parameter to a `ShardingSpec`. 2024-12-18T00:12:54.7948195Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2024-12-18T00:12:54.7948366Z to a `Sharder` object. 2024-12-18T00:12:54.7948939Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2024-12-18T00:12:54.7949436Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2024-12-18T00:12:54.7949844Z keyed by the name of module to ShardingSpec("" in key means the root module). 2024-12-18T00:12:54.7950020Z Default: `None` 2024-12-18T00:12:54.7950460Z return_local_tensor (List[str], optional): a list of string, each element enables 2024-12-18T00:12:54.7950890Z a module's sharded output to be returned as a Tensor from its local shards to 2024-12-18T00:12:54.7951322Z ensure further processing in a data parallel fashion. ("" in list means the 2024-12-18T00:12:54.7951488Z root module). 2024-12-18T00:12:54.7951644Z Default: None 2024-12-18T00:12:54.7951787Z Example: 2024-12-18T00:12:54.7952286Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2024-12-18T00:12:54.7952779Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2024-12-18T00:12:54.7952929Z 2024-12-18T00:12:54.7953220Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2024-12-18T00:12:54.7953403Z >>> class MyModule(nn.Module): 2024-12-18T00:12:54.7953594Z >>> def __init__(self) -> None: 2024-12-18T00:12:54.7953761Z >>> super().__init__() 2024-12-18T00:12:54.7953953Z >>> self.fc1 = nn.Linear() 2024-12-18T00:12:54.7954123Z >>> self.gelu = nn.GELU() 2024-12-18T00:12:54.7954305Z >>> self.fc2 = nn.Linear() 2024-12-18T00:12:54.7954482Z >>> self.relu = nn.Linear() 2024-12-18T00:12:54.7954623Z >>> 2024-12-18T00:12:54.7954817Z >>> def forward(self, input): 2024-12-18T00:12:54.7955108Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2024-12-18T00:12:54.7955258Z 2024-12-18T00:12:54.7955398Z 2024-12-18T00:12:54.7955616Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2024-12-18T00:12:54.7955816Z >>> sharding_plan = ShardingPlan( 2024-12-18T00:12:54.7955969Z >>> plan={ 2024-12-18T00:12:54.7956150Z >>> "fc1.weight": spec1, 2024-12-18T00:12:54.7956322Z >>> "fc2.weight": spec2 2024-12-18T00:12:54.7956475Z >>> }, 2024-12-18T00:12:54.7956642Z >>> output_plan={ 2024-12-18T00:12:54.7956818Z >>> "fc2": output_spec 2024-12-18T00:12:54.7956977Z >>> }, 2024-12-18T00:12:54.7957158Z >>> return_local_tensor=["fc2"] 2024-12-18T00:12:54.7957313Z >>> ) 2024-12-18T00:12:54.7957450Z 2024-12-18T00:12:54.7957888Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7958171Z 2024-12-18T00:12:54.7958336Z warnings.warn(msg) 2024-12-18T00:12:54.7958491Z 2024-12-18T00:12:54.7958826Z --- Parse Warning: 42 / 105 --- 2024-12-18T00:12:54.7960865Z /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. 2024-12-18T00:12:54.7961336Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7962318Z 2024-12-18T00:12:54.7962560Z Run post-localSGD algorithm. 2024-12-18T00:12:54.7962701Z 2024-12-18T00:12:54.7963131Z This DDP communication hook is used for running post-localSGD algorithm, 2024-12-18T00:12:54.7963401Z by combining with a model averaging component (e.g., 2024-12-18T00:12:54.7963966Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2024-12-18T00:12:54.7964178Z that runs after the optimizer step. 2024-12-18T00:12:54.7964311Z 2024-12-18T00:12:54.7964468Z Args: 2024-12-18T00:12:54.7964860Z state (PostLocalSGDState): State information to run post-localSGD. 2024-12-18T00:12:54.7965461Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2024-12-18T00:12:54.7966194Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-12-18T00:12:54.7966627Z Note that since DDP comm hook only supports single process single device mode, 2024-12-18T00:12:54.7966900Z only exactly one tensor is stored in this bucket. 2024-12-18T00:12:54.7967039Z 2024-12-18T00:12:54.7967202Z Returns: 2024-12-18T00:12:54.7967620Z Future handler of the communication, which updates the gradients in place. 2024-12-18T00:12:54.7967773Z 2024-12-18T00:12:54.7967932Z Example:: 2024-12-18T00:12:54.7968096Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7968554Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2024-12-18T00:12:54.7968753Z start_localSGD_iter=10) 2024-12-18T00:12:54.7969064Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:54.7969650Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2024-12-18T00:12:54.7970267Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2024-12-18T00:12:54.7970416Z 2024-12-18T00:12:54.7970853Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.7971009Z 2024-12-18T00:12:54.7971177Z warnings.warn(msg) 2024-12-18T00:12:54.7971327Z 2024-12-18T00:12:54.7971662Z --- Parse Warning: 43 / 105 --- 2024-12-18T00:12:54.7973554Z /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=343. 2024-12-18T00:12:54.7974026Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.7974167Z 2024-12-18T00:12:54.7974372Z Implement PowerSGD algorithm. 2024-12-18T00:12:54.7974514Z 2024-12-18T00:12:54.7974926Z This DDP communication hook implements PowerSGD gradient compression 2024-12-18T00:12:54.7975336Z algorithm described in the `paper `_. 2024-12-18T00:12:54.7975754Z Once gradient tensors are aggregated across all workers, this hook applies 2024-12-18T00:12:54.7975940Z compression as follows: 2024-12-18T00:12:54.7976079Z 2024-12-18T00:12:54.7976862Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2024-12-18T00:12:54.7977010Z 2024-12-18T00:12:54.7977769Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2024-12-18T00:12:54.7977948Z 2024-12-18T00:12:54.7978667Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2024-12-18T00:12:54.7978823Z 2024-12-18T00:12:54.7979006Z 2. Handles uncompressed tensors: 2024-12-18T00:12:54.7979159Z 2024-12-18T00:12:54.7980100Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2024-12-18T00:12:54.7980281Z 2024-12-18T00:12:54.7980882Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2024-12-18T00:12:54.7981019Z 2024-12-18T00:12:54.7981430Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2024-12-18T00:12:54.7981566Z 2024-12-18T00:12:54.7981985Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2024-12-18T00:12:54.7982521Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2024-12-18T00:12:54.7982670Z 2024-12-18T00:12:54.7982949Z 3.2. Computes each P in Ps, which is equal to MQ; 2024-12-18T00:12:54.7983088Z 2024-12-18T00:12:54.7983280Z 3.3. Allreduces Ps as a batch; 2024-12-18T00:12:54.7983417Z 2024-12-18T00:12:54.7983620Z 3.4. Orthogonalizes each P in Ps; 2024-12-18T00:12:54.7983760Z 2024-12-18T00:12:54.7984093Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2024-12-18T00:12:54.7984243Z 2024-12-18T00:12:54.7984422Z 3.6. Allreduces Qs as a batch; 2024-12-18T00:12:54.7984569Z 2024-12-18T00:12:54.7985084Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2024-12-18T00:12:54.7985221Z 2024-12-18T00:12:54.7985953Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2024-12-18T00:12:54.7986447Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2024-12-18T00:12:54.7987222Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2024-12-18T00:12:54.7987358Z 2024-12-18T00:12:54.7987512Z Args: 2024-12-18T00:12:54.7988223Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2024-12-18T00:12:54.7988578Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2024-12-18T00:12:54.7988704Z and ``min_compression_rate``. 2024-12-18T00:12:54.7989113Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2024-12-18T00:12:54.7989375Z Note that since DDP comm hook only supports single process single device mode, 2024-12-18T00:12:54.7989530Z only exactly one tensor is stored in this bucket. 2024-12-18T00:12:54.7989631Z 2024-12-18T00:12:54.7989717Z Returns: 2024-12-18T00:12:54.7989962Z Future handler of the communication, which updates the gradients in place. 2024-12-18T00:12:54.7990060Z 2024-12-18T00:12:54.7990153Z Example:: 2024-12-18T00:12:54.7990264Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.7990540Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2024-12-18T00:12:54.7990714Z start_powerSGD_iter=10, min_compression_rate=0.5) 2024-12-18T00:12:54.7990914Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2024-12-18T00:12:54.7991031Z 2024-12-18T00:12:54.7991377Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8004686Z 2024-12-18T00:12:54.8004862Z warnings.warn(msg) 2024-12-18T00:12:54.8004938Z 2024-12-18T00:12:54.8005286Z --- Parse Warning: 44 / 105 --- 2024-12-18T00:12:54.8006386Z /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=37. 2024-12-18T00:12:54.8006641Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8006785Z 2024-12-18T00:12:54.8006971Z Averages parameters periodically after the warm-up stage. 2024-12-18T00:12:54.8007065Z 2024-12-18T00:12:54.8007328Z This can be used for running `post-local SGD `_, 2024-12-18T00:12:54.8007522Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2024-12-18T00:12:54.8007775Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2024-12-18T00:12:54.8007860Z 2024-12-18T00:12:54.8007964Z Args: 2024-12-18T00:12:54.8008137Z period (int): The number of steps per model averaging. 2024-12-18T00:12:54.8008455Z Usually the period should be greater than ``1`` to reduce the communication cost. 2024-12-18T00:12:54.8008591Z Otherwise, only DDP needs to be used. 2024-12-18T00:12:54.8008804Z warmup_steps (int): The number of warm-up steps. During this stage, 2024-12-18T00:12:54.8008947Z model averaging is skipped. 2024-12-18T00:12:54.8009136Z process_group: The process group to be used for all-reduce. 2024-12-18T00:12:54.8009291Z If ``None``, the default process group, which 2024-12-18T00:12:54.8009482Z is created by :func:`torch.distributed.init_process_group`, 2024-12-18T00:12:54.8009621Z will be used. (default: ``None``) 2024-12-18T00:12:54.8009704Z 2024-12-18T00:12:54.8009806Z Example:: 2024-12-18T00:12:54.8009904Z 2024-12-18T00:12:54.8010037Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8010145Z >>> import torch 2024-12-18T00:12:54.8010265Z >>> import torch.distributed as dist 2024-12-18T00:12:54.8010581Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2024-12-18T00:12:54.8010862Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-12-18T00:12:54.8010972Z >>> import torch.nn as nn 2024-12-18T00:12:54.8011076Z >>> 2024-12-18T00:12:54.8011255Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-12-18T00:12:54.8011379Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:54.8011509Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2024-12-18T00:12:54.8011668Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:54.8011825Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:54.8011911Z >>> ) 2024-12-18T00:12:54.8012075Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:54.8012370Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-12-18T00:12:54.8012549Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:54.8012635Z >>> 2024-12-18T00:12:54.8012903Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-12-18T00:12:54.8013078Z >>> # After 100 steps, run model averaging every 4 steps. 2024-12-18T00:12:54.8013394Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:54.8013658Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-12-18T00:12:54.8013768Z >>> for step in range(0, 200): 2024-12-18T00:12:54.8013886Z >>> optimizer.zero_grad() 2024-12-18T00:12:54.8014001Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:54.8014133Z >>> loss.backward() 2024-12-18T00:12:54.8014251Z >>> optimizer.step() 2024-12-18T00:12:54.8014449Z >>> # Will average model parameters globally every 4 steps. Thus, 2024-12-18T00:12:54.8014670Z >>> # inter-node communication only occurs every 4 iterations after 2024-12-18T00:12:54.8014801Z >>> # the initial ``warmup_steps`` period. 2024-12-18T00:12:54.8015017Z >>> averager.average_parameters(model.parameters()) 2024-12-18T00:12:54.8015116Z 2024-12-18T00:12:54.8015370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8015466Z 2024-12-18T00:12:54.8015565Z warnings.warn(msg) 2024-12-18T00:12:54.8015664Z 2024-12-18T00:12:54.8015869Z --- Parse Warning: 45 / 105 --- 2024-12-18T00:12:54.8017054Z /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. 2024-12-18T00:12:54.8017362Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8017449Z 2024-12-18T00:12:54.8017794Z Runs hierarchical model averaging (`hierarchical SGD `_). 2024-12-18T00:12:54.8017880Z 2024-12-18T00:12:54.8018204Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2024-12-18T00:12:54.8018410Z by using different periods concurrently after the warm-up stage. 2024-12-18T00:12:54.8018815Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2024-12-18T00:12:54.8019163Z that supports `post-local SGD `_, which essentially only supports 2024-12-18T00:12:54.8019468Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2024-12-18T00:12:54.8019827Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2024-12-18T00:12:54.8020135Z Similarly, the process groups within this class do not have such an intra-machine process 2024-12-18T00:12:54.8020420Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2024-12-18T00:12:54.8020506Z 2024-12-18T00:12:54.8020610Z Args: 2024-12-18T00:12:54.8020870Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2024-12-18T00:12:54.8021075Z process group size, used for initializing process groups of 2024-12-18T00:12:54.8021314Z different sizes in a hierarchy to average parameters concurrently. 2024-12-18T00:12:54.8021528Z Particularly, at each iteration, there will be at most a single 2024-12-18T00:12:54.8021773Z process group that runs averaging -- the period of such group should 2024-12-18T00:12:54.8021988Z have the largest period which the current step can be divided by. 2024-12-18T00:12:54.8022172Z For example, if the dict has three keys: 2, 4, and 8, 2024-12-18T00:12:54.8022379Z then this means totally three process groups will be created to 2024-12-18T00:12:54.8022595Z average parameters every 2, 4, and 8 iterations, respectively. 2024-12-18T00:12:54.8022796Z At the 4th iteration, only the second process group will run 2024-12-18T00:12:54.8022979Z averaging, because the first process group should be a 2024-12-18T00:12:54.8023217Z subset of the second process group, and no need to execute the first 2024-12-18T00:12:54.8023346Z process group redundantly. 2024-12-18T00:12:54.8023594Z On the other hand, the third process group can only be triggered 2024-12-18T00:12:54.8023820Z every 8 iterations, so it will not be triggered at the 4th iteration. 2024-12-18T00:12:54.8024134Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2024-12-18T00:12:54.8024630Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2024-12-18T00:12:54.8024809Z If ``None``, the default process group, which is created 2024-12-18T00:12:54.8025032Z by :func:`torch.distributed.init_process_group`, will be used. 2024-12-18T00:12:54.8025157Z (default: ``None``) 2024-12-18T00:12:54.8025253Z 2024-12-18T00:12:54.8025349Z Example:: 2024-12-18T00:12:54.8025488Z >>> # xdoctest: +SKIP('undefined rank') 2024-12-18T00:12:54.8025612Z >>> from collections import OrderedDict 2024-12-18T00:12:54.8025732Z >>> import torch 2024-12-18T00:12:54.8025867Z >>> import torch.distributed as dist 2024-12-18T00:12:54.8026142Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-12-18T00:12:54.8026266Z >>> PostLocalSGDState, 2024-12-18T00:12:54.8026374Z >>> post_localSGD_hook, 2024-12-18T00:12:54.8026461Z >>> ) 2024-12-18T00:12:54.8026846Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2024-12-18T00:12:54.8026952Z >>> import torch.nn as nn 2024-12-18T00:12:54.8027049Z >>> 2024-12-18T00:12:54.8027228Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2024-12-18T00:12:54.8027352Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:54.8027491Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2024-12-18T00:12:54.8027649Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:54.8027808Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:54.8027895Z >>> ) 2024-12-18T00:12:54.8028057Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:54.8028336Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2024-12-18T00:12:54.8028473Z >>> subgroup, _ = dist.new_subgroups() 2024-12-18T00:12:54.8028785Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2024-12-18T00:12:54.8028949Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:54.8029052Z >>> 2024-12-18T00:12:54.8029334Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2024-12-18T00:12:54.8029469Z >>> # the 16 processes every 16 iterations. 2024-12-18T00:12:54.8029661Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2024-12-18T00:12:54.8029910Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2024-12-18T00:12:54.8030220Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:54.8030487Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2024-12-18T00:12:54.8030658Z >>> # After 100 steps, run model averaging at two levels. 2024-12-18T00:12:54.8030764Z >>> for step in range(0, 200): 2024-12-18T00:12:54.8030884Z >>> optimizer.zero_grad() 2024-12-18T00:12:54.8030999Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:54.8031113Z >>> loss.backward() 2024-12-18T00:12:54.8031215Z >>> optimizer.step() 2024-12-18T00:12:54.8031370Z >>> # Average parameters after ``optimizer.step()``. 2024-12-18T00:12:54.8031690Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2024-12-18T00:12:54.8031854Z >>> averager.average_parameters(model.parameters()) 2024-12-18T00:12:54.8031954Z 2024-12-18T00:12:54.8032048Z .. warning :: 2024-12-18T00:12:54.8032312Z The last group size in the dict must be the size of the provided ``process_group``, 2024-12-18T00:12:54.8032618Z which indicates model averaging at the highest level of the hierarchy. 2024-12-18T00:12:54.8032919Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2024-12-18T00:12:54.8033017Z 2024-12-18T00:12:54.8033110Z .. warning :: 2024-12-18T00:12:54.8033359Z `HierarchicalModelAverager` is experimental and subject to change. 2024-12-18T00:12:54.8033445Z 2024-12-18T00:12:54.8033696Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8033796Z 2024-12-18T00:12:54.8033896Z warnings.warn(msg) 2024-12-18T00:12:54.8033993Z 2024-12-18T00:12:54.8034198Z --- Parse Warning: 46 / 105 --- 2024-12-18T00:12:54.8035286Z /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. 2024-12-18T00:12:54.8035572Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8035656Z 2024-12-18T00:12:54.8035945Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2024-12-18T00:12:54.8036206Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2024-12-18T00:12:54.8036290Z 2024-12-18T00:12:54.8036466Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2024-12-18T00:12:54.8036549Z 2024-12-18T00:12:54.8036660Z .. warning:: 2024-12-18T00:12:54.8036833Z Current implementation only supports loading Tensors. 2024-12-18T00:12:54.8036915Z 2024-12-18T00:12:54.8037045Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8037142Z >>> sd = {"mode": model} 2024-12-18T00:12:54.8037243Z >>> dcp.load( 2024-12-18T00:12:54.8037328Z >>> sd, 2024-12-18T00:12:54.8037481Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-12-18T00:12:54.8037624Z >>> planner=DynamicMetaLoadPlanner(), 2024-12-18T00:12:54.8037742Z >>> checkpoint_id="path_to_model.pt" 2024-12-18T00:12:54.8037840Z >>> ) 2024-12-18T00:12:54.8037921Z 2024-12-18T00:12:54.8038173Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8038267Z 2024-12-18T00:12:54.8038364Z warnings.warn(msg) 2024-12-18T00:12:54.8038458Z 2024-12-18T00:12:54.8038649Z --- Parse Warning: 47 / 105 --- 2024-12-18T00:12:54.8039676Z /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. 2024-12-18T00:12:54.8039940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8040024Z 2024-12-18T00:12:54.8040403Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2024-12-18T00:12:54.8040723Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2024-12-18T00:12:54.8040853Z metadata file, like Torch Save files. 2024-12-18T00:12:54.8040937Z 2024-12-18T00:12:54.8041131Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2024-12-18T00:12:54.8041219Z 2024-12-18T00:12:54.8041309Z .. warning:: 2024-12-18T00:12:54.8041593Z Current implementation only supports loading Tensors. 2024-12-18T00:12:54.8041713Z 2024-12-18T00:12:54.8041842Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8041940Z >>> sd = {"mode": model} 2024-12-18T00:12:54.8042031Z >>> dcp.load( 2024-12-18T00:12:54.8042131Z >>> sd, 2024-12-18T00:12:54.8042285Z >>> storage_reader=BroadcastingTorchSaveReader(), 2024-12-18T00:12:54.8042424Z >>> planner=DynamicMetaLoadPlanner(), 2024-12-18T00:12:54.8042600Z >>> checkpoint_id="path_to_model.pt" 2024-12-18T00:12:54.8042698Z >>> ) 2024-12-18T00:12:54.8042779Z 2024-12-18T00:12:54.8043030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8043122Z 2024-12-18T00:12:54.8043219Z warnings.warn(msg) 2024-12-18T00:12:54.8043314Z 2024-12-18T00:12:54.8043509Z --- Parse Warning: 48 / 105 --- 2024-12-18T00:12:54.8044535Z /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. 2024-12-18T00:12:54.8044839Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8044924Z 2024-12-18T00:12:54.8045146Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2024-12-18T00:12:54.8045230Z 2024-12-18T00:12:54.8045417Z This is the current recommended way to checkpoint FSDP. 2024-12-18T00:12:54.8045517Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8045674Z >>> import torch.distributed.checkpoint as dist_cp 2024-12-18T00:12:54.8045780Z >>> # Save 2024-12-18T00:12:54.8045881Z >>> model: torch.nn.Model 2024-12-18T00:12:54.8046012Z >>> optim_params = model.parameters() 2024-12-18T00:12:54.8046156Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2024-12-18T00:12:54.8046255Z >>> # Save 2024-12-18T00:12:54.8046474Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2024-12-18T00:12:54.8046572Z >>> state_dict = { 2024-12-18T00:12:54.8046742Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2024-12-18T00:12:54.8046855Z >>> "model": model.state_dict() 2024-12-18T00:12:54.8046953Z >>> } 2024-12-18T00:12:54.8047058Z >>> dist_cp.save_state_dict( 2024-12-18T00:12:54.8047162Z >>> state_dict=optim_state, 2024-12-18T00:12:54.8047356Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2024-12-18T00:12:54.8047490Z >>> planner=dist_cp.DefaultSavePlanner(), 2024-12-18T00:12:54.8047587Z >>> ) 2024-12-18T00:12:54.8047674Z >>> 2024-12-18T00:12:54.8047771Z >>> # Load 2024-12-18T00:12:54.8047996Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2024-12-18T00:12:54.8048126Z >>> model_state_dict = model_tp.state_dict() 2024-12-18T00:12:54.8048234Z >>> checkpoint = { 2024-12-18T00:12:54.8048343Z >>> "model": model_state_dict 2024-12-18T00:12:54.8048440Z >>> } 2024-12-18T00:12:54.8048543Z >>> dist_cp.load_state_dict( 2024-12-18T00:12:54.8048649Z >>> state_dict=checkpoint, 2024-12-18T00:12:54.8048851Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2024-12-18T00:12:54.8048983Z >>> planner=dist_cp.DefaultLoadPlanner(), 2024-12-18T00:12:54.8049083Z >>> ) 2024-12-18T00:12:54.8049240Z >>> model.load_state_dict(checkpoint["model_state"]) 2024-12-18T00:12:54.8049337Z >>> 2024-12-18T00:12:54.8049513Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2024-12-18T00:12:54.8049612Z >>> model_state_dict, 2024-12-18T00:12:54.8049736Z >>> optimizer_key="optimizer", 2024-12-18T00:12:54.8049917Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2024-12-18T00:12:54.8050013Z >>> ) 2024-12-18T00:12:54.8050096Z >>> 2024-12-18T00:12:54.8050242Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:54.8050409Z >>> model, optim, optim_state["optimizer"] 2024-12-18T00:12:54.8050493Z >>> ) 2024-12-18T00:12:54.8050590Z >>> 2024-12-18T00:12:54.8050716Z >>> optim.load_state_dict(flattened_osd) 2024-12-18T00:12:54.8050799Z 2024-12-18T00:12:54.8051063Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8051171Z 2024-12-18T00:12:54.8051308Z warnings.warn(msg) 2024-12-18T00:12:54.8051390Z 2024-12-18T00:12:54.8051593Z --- Parse Warning: 49 / 105 --- 2024-12-18T00:12:54.8052527Z /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. 2024-12-18T00:12:54.8052789Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8052886Z 2024-12-18T00:12:54.8053173Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2024-12-18T00:12:54.8053268Z 2024-12-18T00:12:54.8053584Z SavePlanners are stateful objects that can be used to customize the whole save process. 2024-12-18T00:12:54.8053680Z 2024-12-18T00:12:54.8053956Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-12-18T00:12:54.8054078Z will be visible to the whole process. 2024-12-18T00:12:54.8054176Z 2024-12-18T00:12:54.8054449Z A planner subclass can expect the following sequence of calls during save_state_dict: 2024-12-18T00:12:54.8054545Z 2024-12-18T00:12:54.8054667Z 1) set_up_planner - called on all ranks. 2024-12-18T00:12:54.8054794Z Signals the start of a checkpoint save. 2024-12-18T00:12:54.8054890Z 2024-12-18T00:12:54.8055022Z 2) create_local_plan - called on all ranks. 2024-12-18T00:12:54.8055318Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2024-12-18T00:12:54.8055402Z 2024-12-18T00:12:54.8055584Z 3) create_global_plan - called on the coordinator rank only. 2024-12-18T00:12:54.8055792Z Takes the SavePlan from all ranks and make any global decision. 2024-12-18T00:12:54.8055876Z 2024-12-18T00:12:54.8055996Z 4) finish_plan - called on all ranks. 2024-12-18T00:12:54.8056214Z This gives each rank a chance to adjust to global planning decisions. 2024-12-18T00:12:54.8056306Z 2024-12-18T00:12:54.8056460Z 5) resolve_data - called multiple times on each rank 2024-12-18T00:12:54.8056666Z Lookups a value on the `state_dict` for the storage layer to write. 2024-12-18T00:12:54.8056756Z 2024-12-18T00:12:54.8057055Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2024-12-18T00:12:54.8057247Z most changes can be expressed by changes in a single method. 2024-12-18T00:12:54.8057331Z 2024-12-18T00:12:54.8057453Z There are 3 usual patterns of extension: 2024-12-18T00:12:54.8057544Z 2024-12-18T00:12:54.8057795Z Rewriting state_dict. This is the simplest way to extend the save process as it 2024-12-18T00:12:54.8058242Z doesn't requite understanding the intrincacies of how SavePlan works: 2024-12-18T00:12:54.8058327Z 2024-12-18T00:12:54.8058456Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8058597Z >>> class RenamePlanner(DefaultSavePlanner): 2024-12-18T00:12:54.8058698Z >>> def set_up_planner( 2024-12-18T00:12:54.8058796Z >>> self, 2024-12-18T00:12:54.8058910Z >>> state_dict: STATE_DICT_TYPE, 2024-12-18T00:12:54.8059047Z >>> storage_meta: Optional[StorageMeta], 2024-12-18T00:12:54.8059156Z >>> is_coordinator: bool, 2024-12-18T00:12:54.8059246Z >>> ) -> None: 2024-12-18T00:12:54.8059375Z >>> # prefix all keys with `foo_`` 2024-12-18T00:12:54.8059664Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2024-12-18T00:12:54.8059829Z 2024-12-18T00:12:54.8060161Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2024-12-18T00:12:54.8060251Z 2024-12-18T00:12:54.8060367Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8060490Z >>> class FP16Planner(DefaultSavePlanner): 2024-12-18T00:12:54.8060683Z >>> def create_local_plan(self): 2024-12-18T00:12:54.8060806Z >>> plan = super().create_local_plan() 2024-12-18T00:12:54.8060912Z >>> for p in plan: 2024-12-18T00:12:54.8061027Z >>> if p.tensor_data is not None: 2024-12-18T00:12:54.8061183Z >>> p.tensor_data.properties.dtype = torch.float16 2024-12-18T00:12:54.8061290Z >>> return plan 2024-12-18T00:12:54.8061372Z >>> 2024-12-18T00:12:54.8061500Z >>> def resolve_data(self, write_item): 2024-12-18T00:12:54.8061627Z >>> item = super().resolve_data(write_item) 2024-12-18T00:12:54.8061907Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2024-12-18T00:12:54.8062021Z 2024-12-18T00:12:54.8062356Z Using the global planning step to make central decisions that can't be made individually by each rank 2024-12-18T00:12:54.8062449Z 2024-12-18T00:12:54.8062558Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8062689Z >>> from itertools import zip_longest 2024-12-18T00:12:54.8062799Z >>> from dataclasses import replace 2024-12-18T00:12:54.8062965Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2024-12-18T00:12:54.8063246Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2024-12-18T00:12:54.8063375Z >>> # This sample doesn't handle ShardedTensors 2024-12-18T00:12:54.8063514Z >>> def create_global_plan(self, all_plans): 2024-12-18T00:12:54.8063664Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2024-12-18T00:12:54.8063774Z >>> items_per_rank = [ 2024-12-18T00:12:54.8063912Z >>> [item for item in items if item is not None] 2024-12-18T00:12:54.8064067Z >>> for items in zip(*zip_longest(*iters), strict=True) 2024-12-18T00:12:54.8064162Z >>> ] 2024-12-18T00:12:54.8064252Z >>> all_plans = [ 2024-12-18T00:12:54.8064384Z >>> replace(plan, items=items) 2024-12-18T00:12:54.8064567Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2024-12-18T00:12:54.8064662Z >>> ] 2024-12-18T00:12:54.8064802Z >>> return super().create_global_plan(all_plans) 2024-12-18T00:12:54.8064880Z 2024-12-18T00:12:54.8065155Z Finally, some planners need to save additional metadata in the checkpoint, this is 2024-12-18T00:12:54.8065419Z accomplished by having each rank contribute their data items in the local plan and 2024-12-18T00:12:54.8065547Z the global planner aggregate them: 2024-12-18T00:12:54.8065624Z 2024-12-18T00:12:54.8065738Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8065908Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2024-12-18T00:12:54.8066036Z >>> def create_local_plan(self) -> SavePlan: 2024-12-18T00:12:54.8066165Z >>> plan = super().create_local_plan() 2024-12-18T00:12:54.8066328Z >>> return replace(plan, planner_data="per-rank-data") 2024-12-18T00:12:54.8066423Z >>> 2024-12-18T00:12:54.8066714Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2024-12-18T00:12:54.8066906Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2024-12-18T00:12:54.8067075Z >>> merged_data = [p.planner_data for p in global_plan] 2024-12-18T00:12:54.8067243Z >>> metadata = replace(metadata, planner_data=merged_data) 2024-12-18T00:12:54.8067393Z >>> return global_plan, metadata 2024-12-18T00:12:54.8067471Z 2024-12-18T00:12:54.8067730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8067812Z 2024-12-18T00:12:54.8067909Z warnings.warn(msg) 2024-12-18T00:12:54.8068001Z 2024-12-18T00:12:54.8068213Z --- Parse Warning: 50 / 105 --- 2024-12-18T00:12:54.8069209Z /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=272. 2024-12-18T00:12:54.8069498Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8069595Z 2024-12-18T00:12:54.8069886Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2024-12-18T00:12:54.8069968Z 2024-12-18T00:12:54.8070266Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2024-12-18T00:12:54.8070349Z 2024-12-18T00:12:54.8070636Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2024-12-18T00:12:54.8070778Z will be visible to the whole process. 2024-12-18T00:12:54.8070877Z 2024-12-18T00:12:54.8071149Z A planner subclass can expect the following sequence of calls during load_state_dict: 2024-12-18T00:12:54.8071231Z 2024-12-18T00:12:54.8071367Z 1) set_up_planner - called on all ranks. 2024-12-18T00:12:54.8071495Z Signals the start of loading a checkpoint. 2024-12-18T00:12:54.8071587Z 2024-12-18T00:12:54.8071713Z 2) create_local_plan - called on all ranks. 2024-12-18T00:12:54.8071996Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2024-12-18T00:12:54.8072091Z 2024-12-18T00:12:54.8072268Z 3) create_global_plan - called on the coordinator rank only. 2024-12-18T00:12:54.8072472Z Takes the LoadPlan from all ranks and make any global decision. 2024-12-18T00:12:54.8072555Z 2024-12-18T00:12:54.8072708Z 4) load_bytes - called multiple times on each rank 2024-12-18T00:12:54.8072877Z This is called once per non-tensor value in state_dict. 2024-12-18T00:12:54.8072954Z 2024-12-18T00:12:54.8073188Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2024-12-18T00:12:54.8073367Z They are called in pair for each Tensor value in state_dict. 2024-12-18T00:12:54.8073459Z 2024-12-18T00:12:54.8073758Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2024-12-18T00:12:54.8073937Z most changes can be expressed by changes in a single method. 2024-12-18T00:12:54.8074027Z 2024-12-18T00:12:54.8074151Z There are two usual patterns of extension: 2024-12-18T00:12:54.8074246Z 2024-12-18T00:12:54.8074497Z Rewriting state_dict. This is the simplest way to extend the load process as it 2024-12-18T00:12:54.8074760Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2024-12-18T00:12:54.8074985Z to keep a reference to the original state_dict as load happens in place so 2024-12-18T00:12:54.8075109Z we need to be able to perform it in place 2024-12-18T00:12:54.8075201Z 2024-12-18T00:12:54.8075313Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8075455Z >>> class RenamePlanner(DefaultLoadPlanner): 2024-12-18T00:12:54.8075556Z >>> def set_up_planner( 2024-12-18T00:12:54.8075641Z >>> self, 2024-12-18T00:12:54.8075761Z >>> state_dict: STATE_DICT_TYPE, 2024-12-18T00:12:54.8075858Z >>> metadata: Metadata, 2024-12-18T00:12:54.8075972Z >>> is_coordinator: bool, 2024-12-18T00:12:54.8076058Z >>> ) -> None: 2024-12-18T00:12:54.8076193Z >>> self.original_state_dict = state_dict 2024-12-18T00:12:54.8076366Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2024-12-18T00:12:54.8076473Z >>> 2024-12-18T00:12:54.8076601Z >>> if self.flatten_sharded_tensors: 2024-12-18T00:12:54.8076749Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2024-12-18T00:12:54.8076843Z >>> 2024-12-18T00:12:54.8076950Z >>> if self.flatten_state_dict: 2024-12-18T00:12:54.8077132Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2024-12-18T00:12:54.8077254Z >>> 2024-12-18T00:12:54.8077387Z >>> self.state_dict = state_dict 2024-12-18T00:12:54.8077508Z >>> self.metadata = metadata 2024-12-18T00:12:54.8077631Z >>> self.is_coordinator = is_coordinator 2024-12-18T00:12:54.8077720Z >>> 2024-12-18T00:12:54.8077840Z >>> def load_bytes(self, read_item, value): 2024-12-18T00:12:54.8077943Z >>> # Remove the "foo_" prefix 2024-12-18T00:12:54.8078269Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2024-12-18T00:12:54.8078352Z 2024-12-18T00:12:54.8078445Z 2024-12-18T00:12:54.8078701Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2024-12-18T00:12:54.8078805Z 2024-12-18T00:12:54.8078932Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8079085Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2024-12-18T00:12:54.8079215Z >>> def resolve_tensor(self, read_item): 2024-12-18T00:12:54.8079349Z >>> tensor = super().resolve_tensor(read_item) 2024-12-18T00:12:54.8079506Z >>> return torch.empty_like(tensor, device="cpu") 2024-12-18T00:12:54.8079588Z >>> 2024-12-18T00:12:54.8079714Z >>> def commit_tensor(self, read_item, tensor): 2024-12-18T00:12:54.8079881Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2024-12-18T00:12:54.8079960Z 2024-12-18T00:12:54.8080222Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8080303Z 2024-12-18T00:12:54.8080401Z warnings.warn(msg) 2024-12-18T00:12:54.8080493Z 2024-12-18T00:12:54.8080688Z --- Parse Warning: 51 / 105 --- 2024-12-18T00:12:54.8081724Z /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. 2024-12-18T00:12:54.8081989Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8082084Z 2024-12-18T00:12:54.8082227Z Load a distributed ``state_dict`` in SPMD style. 2024-12-18T00:12:54.8082306Z 2024-12-18T00:12:54.8082500Z Each rank will try to read the least amount of data necessary 2024-12-18T00:12:54.8082737Z to fullfill the requested `state_dict`. When loading :class:`ShardedTensor` 2024-12-18T00:12:54.8082994Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2024-12-18T00:12:54.8083076Z 2024-12-18T00:12:54.8083341Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-12-18T00:12:54.8083592Z load will first call ``state_dict`` before attempting deserialization, followed by 2024-12-18T00:12:54.8083756Z ``load_state_dict`` once the deserialization is complete. 2024-12-18T00:12:54.8084025Z For each non-``Stateful`` object, load will deserailize the object, and then replace 2024-12-18T00:12:54.8084179Z it in the ``state_dict`` with the deserialized object. 2024-12-18T00:12:54.8084272Z 2024-12-18T00:12:54.8084367Z .. warning:: 2024-12-18T00:12:54.8084545Z All tensors in ``state_dict`` must be allocated on their 2024-12-18T00:12:54.8084709Z destination device *prior to* calling this function. 2024-12-18T00:12:54.8084789Z 2024-12-18T00:12:54.8085026Z All non-tensor data is loaded using `torch.load()` and modified in place 2024-12-18T00:12:54.8085117Z on state_dict. 2024-12-18T00:12:54.8085247Z 2024-12-18T00:12:54.8085338Z .. warning:: 2024-12-18T00:12:54.8085539Z Users must call `load_state_dict` on the root module to ensure load 2024-12-18T00:12:54.8085735Z pos-processing and non-tensor data properly propagates. 2024-12-18T00:12:54.8085814Z 2024-12-18T00:12:54.8085911Z .. note: 2024-12-18T00:12:54.8086134Z If no process group is initialized, this function will assume the intent 2024-12-18T00:12:54.8086416Z is to load a checkpoint into the local process. This can be useful in the 2024-12-18T00:12:54.8086663Z case of local inference, and when using regular Tensors (as opposed to DTensor 2024-12-18T00:12:54.8086760Z or ShardedTensor) 2024-12-18T00:12:54.8086857Z 2024-12-18T00:12:54.8086941Z .. note: 2024-12-18T00:12:54.8087091Z Rank 0 is assumed to be the coordinator rank. 2024-12-18T00:12:54.8087174Z 2024-12-18T00:12:54.8087254Z Args: 2024-12-18T00:12:54.8087422Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:54.8087568Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:54.8087810Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:54.8088015Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:54.8088189Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:54.8088292Z (Default: ``None``) 2024-12-18T00:12:54.8088424Z storage_reader (Optional[StorageReader]): 2024-12-18T00:12:54.8088637Z Instance of StorageWriter used to perform reads. If this is not 2024-12-18T00:12:54.8088836Z specified, DCP will automatically infer the reader based on the 2024-12-18T00:12:54.8089046Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:54.8089160Z be raised. (Default: ``None``) 2024-12-18T00:12:54.8089285Z planner (Optional[LoadPlanner]): 2024-12-18T00:12:54.8089488Z Instance of LoadPlanner. If this is not specificed, the default 2024-12-18T00:12:54.8089617Z planner will be used. (Default: ``None``) 2024-12-18T00:12:54.8089758Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:54.8089940Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:54.8090042Z (Default: ``None``) 2024-12-18T00:12:54.8090126Z 2024-12-18T00:12:54.8090214Z Returns: 2024-12-18T00:12:54.8090307Z None. 2024-12-18T00:12:54.8090388Z 2024-12-18T00:12:54.8090478Z Examples 2024-12-18T00:12:54.8090574Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8090669Z >>> my_model = MyModule() 2024-12-18T00:12:54.8090819Z >>> optimizer = Adagrad(my_model.parameters()) 2024-12-18T00:12:54.8090944Z >>> model_state_dict = my_model.state_dict() 2024-12-18T00:12:54.8091248Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader("/checkpoint/1") 2024-12-18T00:12:54.8091330Z 2024-12-18T00:12:54.8091491Z >>> torch.distributed.checkpoint.load_state_dict( 2024-12-18T00:12:54.8091608Z >>> state_dict=model_state_dict, 2024-12-18T00:12:54.8091720Z >>> storage_reader=fs_storage_reader, 2024-12-18T00:12:54.8091816Z >>> ) 2024-12-18T00:12:54.8091897Z 2024-12-18T00:12:54.8092104Z >>> # module.load_state_dict() function might have customized steps 2024-12-18T00:12:54.8092231Z >>> # to flush the state_dict, must call it to 2024-12-18T00:12:54.8092345Z >>> # ensure correct behavior. 2024-12-18T00:12:54.8092473Z >>> my_model.load_state_dict(model_state_dict) 2024-12-18T00:12:54.8092553Z 2024-12-18T00:12:54.8092647Z .. note:: 2024-12-18T00:12:54.8092852Z load_state_dict uses collectives to coordinate reads across ranks. 2024-12-18T00:12:54.8093068Z For NCCL-based process groups, internal tensor representations of 2024-12-18T00:12:54.8093319Z objects must be moved to the GPU device before communication takes place. 2024-12-18T00:12:54.8093538Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-12-18T00:12:54.8094131Z and it is the user's responsibility to ensure that this is set so that each 2024-12-18T00:12:54.8094671Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-12-18T00:12:54.8095084Z 2024-12-18T00:12:54.8095479Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8095927Z 2024-12-18T00:12:54.8096126Z warnings.warn(msg) 2024-12-18T00:12:54.8096377Z 2024-12-18T00:12:54.8096697Z --- Parse Warning: 52 / 105 --- 2024-12-18T00:12:54.8097867Z /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. 2024-12-18T00:12:54.8099189Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8099654Z 2024-12-18T00:12:54.8099905Z Save a distributed model in SPMD style. 2024-12-18T00:12:54.8100226Z 2024-12-18T00:12:54.8100529Z This function is different from ``torch.save()`` as it handles 2024-12-18T00:12:54.8101093Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2024-12-18T00:12:54.8101618Z 2024-12-18T00:12:54.8101992Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2024-12-18T00:12:54.8102522Z save will call ``state_dict`` before serialization. 2024-12-18T00:12:54.8102868Z 2024-12-18T00:12:54.8103073Z .. warning:: 2024-12-18T00:12:54.8103448Z There is no guarantees of Backwards Compatibility across PyTorch versions 2024-12-18T00:12:54.8103888Z for saved state_dicts. 2024-12-18T00:12:54.8104156Z 2024-12-18T00:12:54.8104359Z .. warning:: 2024-12-18T00:12:54.8104706Z If using the `process_group` argument, make sure that only its ranks 2024-12-18T00:12:54.8105234Z call `save_state_dict` and that all data in state_dict belong to it. 2024-12-18T00:12:54.8105626Z 2024-12-18T00:12:54.8105826Z .. note:: 2024-12-18T00:12:54.8106212Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2024-12-18T00:12:54.8106843Z the shard_group should be calling `save_state_dict` and the corresponding process 2024-12-18T00:12:54.8107328Z group needs to be passed in. 2024-12-18T00:12:54.8107623Z 2024-12-18T00:12:54.8107809Z .. note:: 2024-12-18T00:12:54.8108207Z If no process group is available, this function assumes the intention is to save the 2024-12-18T00:12:54.8108703Z state_dict in the local process. 2024-12-18T00:12:54.8109011Z 2024-12-18T00:12:54.8109210Z .. note: 2024-12-18T00:12:54.8109480Z Rank 0 is assumed to be the coordinator rank. 2024-12-18T00:12:54.8109821Z 2024-12-18T00:12:54.8110030Z 2024-12-18T00:12:54.8110233Z Args: 2024-12-18T00:12:54.8110503Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:54.8110929Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:54.8111406Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:54.8111949Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:54.8112448Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:54.8112822Z (Default: ``None``) 2024-12-18T00:12:54.8113152Z storage_writer (Optional[StorageWriter]): 2024-12-18T00:12:54.8113616Z Instance of StorageWriter used to perform writes. If this is not 2024-12-18T00:12:54.8114158Z specified, DCP will automatically infer the writer based on the 2024-12-18T00:12:54.8114690Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:54.8115195Z be raised. (Default: ``None``) 2024-12-18T00:12:54.8115528Z planner (Optional[SavePlanner]): 2024-12-18T00:12:54.8115966Z Instance of SavePlanner. If this is not specificed, the default 2024-12-18T00:12:54.8116426Z planner will be used. (Default: ``None``) 2024-12-18T00:12:54.8116805Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:54.8117290Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:54.8117682Z (Default: ``None``) 2024-12-18T00:12:54.8117957Z 2024-12-18T00:12:54.8118152Z Returns: 2024-12-18T00:12:54.8118426Z Metadata: Metadata object for the saved checkpoint. 2024-12-18T00:12:54.8118765Z 2024-12-18T00:12:54.8118957Z Example: 2024-12-18T00:12:54.8119193Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8119488Z >>> my_model = MyModule() 2024-12-18T00:12:54.8119769Z 2024-12-18T00:12:54.8119987Z >>> state_dict = {"model": my_model} 2024-12-18T00:12:54.8120294Z 2024-12-18T00:12:54.8120717Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-12-18T00:12:54.8121302Z >>> torch.distributed.checkpoint.save( 2024-12-18T00:12:54.8121750Z >>> state_dict=state_dict, 2024-12-18T00:12:54.8122090Z >>> storage_writer=fs_storage_writer, 2024-12-18T00:12:54.8122401Z >>> ) 2024-12-18T00:12:54.8122625Z 2024-12-18T00:12:54.8122838Z .. note:: 2024-12-18T00:12:54.8123193Z save_state_dict uses collectives to coordinate writes across ranks. 2024-12-18T00:12:54.8123747Z For NCCL-based process groups, internal tensor representations of 2024-12-18T00:12:54.8124295Z objects must be moved to the GPU device before communication takes place. 2024-12-18T00:12:54.8124866Z In this case, the device used is given by ``torch.cuda.current_device()`` 2024-12-18T00:12:54.8125413Z and it is the user's responsibility to ensure that this is set so that 2024-12-18T00:12:54.8125939Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2024-12-18T00:12:54.8126341Z 2024-12-18T00:12:54.8126703Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8127156Z 2024-12-18T00:12:54.8127382Z warnings.warn(msg) 2024-12-18T00:12:54.8127641Z 2024-12-18T00:12:54.8127984Z --- Parse Warning: 53 / 105 --- 2024-12-18T00:12:54.8129190Z /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. 2024-12-18T00:12:54.8130534Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8131183Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2024-12-18T00:12:54.8131858Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2024-12-18T00:12:54.8132354Z 2024-12-18T00:12:54.8132564Z .. warning:: 2024-12-18T00:12:54.8132874Z This feature is experimental and subject to change. 2024-12-18T00:12:54.8133235Z 2024-12-18T00:12:54.8133446Z Args: 2024-12-18T00:12:54.8133742Z state_dict (Dict[str, Any]): The state_dict to save. 2024-12-18T00:12:54.8134176Z checkpoint_id (Union[str, os.PathLike, None]): 2024-12-18T00:12:54.8134640Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2024-12-18T00:12:54.8135182Z depends on the storage. It can be a path to a folder or to a file. 2024-12-18T00:12:54.8135679Z It can also be a key if the storage is a key-value store. 2024-12-18T00:12:54.8136075Z (Default: ``None``) 2024-12-18T00:12:54.8136417Z storage_writer (Optional[StorageWriter]): 2024-12-18T00:12:54.8136931Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2024-12-18T00:12:54.8137499Z this is not specified, DCP will automatically infer the writer based on the 2024-12-18T00:12:54.8138069Z checkpoint_id. If checkpoint_id is also None, an exception will 2024-12-18T00:12:54.8138514Z be raised. (Default: ``None``) 2024-12-18T00:12:54.8138983Z planner (Optional[SavePlanner]): 2024-12-18T00:12:54.8139426Z Instance of SavePlanner. If this is not specificed, the default 2024-12-18T00:12:54.8139871Z planner will be used. (Default: ``None``) 2024-12-18T00:12:54.8140258Z process_group (Optional[ProcessGroup]): 2024-12-18T00:12:54.8140701Z ProcessGroup to be used for cross-rank synchronization. 2024-12-18T00:12:54.8141109Z (Default: ``None``) 2024-12-18T00:12:54.8141397Z 2024-12-18T00:12:54.8141604Z Returns: 2024-12-18T00:12:54.8141958Z Future: A future holding the resultant Metadata object from `save`. 2024-12-18T00:12:54.8142382Z 2024-12-18T00:12:54.8142596Z Example: 2024-12-18T00:12:54.8142872Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8143169Z >>> my_model = MyModule() 2024-12-18T00:12:54.8143460Z 2024-12-18T00:12:54.8143692Z >>> state_dict = {"model": my_model} 2024-12-18T00:12:54.8144009Z 2024-12-18T00:12:54.8144429Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter("/checkpoint/1") 2024-12-18T00:12:54.8145050Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2024-12-18T00:12:54.8145493Z >>> state_dict=state_dict, 2024-12-18T00:12:54.8145837Z >>> storage_writer=fs_storage_writer, 2024-12-18T00:12:54.8146164Z >>> ) 2024-12-18T00:12:54.8146398Z >>> 2024-12-18T00:12:54.8146628Z >>> # ... do some work ... 2024-12-18T00:12:54.8146928Z >>> 2024-12-18T00:12:54.8147185Z >>> checkpoint_future.result() 2024-12-18T00:12:54.8147499Z 2024-12-18T00:12:54.8147704Z 2024-12-18T00:12:54.8148074Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8148528Z 2024-12-18T00:12:54.8148751Z warnings.warn(msg) 2024-12-18T00:12:54.8149015Z 2024-12-18T00:12:54.8149348Z --- Parse Warning: 54 / 105 --- 2024-12-18T00:12:54.8150608Z /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. 2024-12-18T00:12:54.8152007Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8152475Z 2024-12-18T00:12:54.8152806Z Initialize rendezvous event object and record its operations. 2024-12-18T00:12:54.8153218Z 2024-12-18T00:12:54.8153420Z Args: 2024-12-18T00:12:54.8153668Z run_id (str): The run id of the rendezvous. 2024-12-18T00:12:54.8154065Z message (str): The message describing the event. 2024-12-18T00:12:54.8154584Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2024-12-18T00:12:54.8155158Z name (str): Event name. (E.g. Current action being performed). 2024-12-18T00:12:54.8155587Z hostname (str): Hostname of the node. 2024-12-18T00:12:54.8155951Z pid (Optional[int]): The process id of the node. 2024-12-18T00:12:54.8156454Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2024-12-18T00:12:54.8157091Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2024-12-18T00:12:54.8157638Z rank (Optional[int]): The rank of the node, if known. 2024-12-18T00:12:54.8158204Z Returns: 2024-12-18T00:12:54.8158513Z None 2024-12-18T00:12:54.8158721Z Example: 2024-12-18T00:12:54.8158984Z >>> # See DynamicRendezvousHandler class 2024-12-18T00:12:54.8159326Z >>> def _record( 2024-12-18T00:12:54.8159587Z ... self, 2024-12-18T00:12:54.8159828Z ... message: str, 2024-12-18T00:12:54.8160157Z ... node_state: NodeState = NodeState.RUNNING, 2024-12-18T00:12:54.8160524Z ... rank: Optional[int] = None, 2024-12-18T00:12:54.8160923Z ... ) -> None: 2024-12-18T00:12:54.8161209Z ... construct_and_record_rdzv_event( 2024-12-18T00:12:54.8161688Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2024-12-18T00:12:54.8162089Z ... run_id=self._settings.run_id, 2024-12-18T00:12:54.8162426Z ... message=message, 2024-12-18T00:12:54.8162739Z ... node_state=node_state, 2024-12-18T00:12:54.8163079Z ... hostname=self._this_node.addr, 2024-12-18T00:12:54.8163435Z ... pid=self._this_node.pid, 2024-12-18T00:12:54.8163775Z ... local_id=self._this_node.local_id, 2024-12-18T00:12:54.8164111Z ... rank=rank, 2024-12-18T00:12:54.8164417Z ... ) 2024-12-18T00:12:54.8164647Z 2024-12-18T00:12:54.8165018Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8165461Z 2024-12-18T00:12:54.8165679Z warnings.warn(msg) 2024-12-18T00:12:54.8165941Z 2024-12-18T00:12:54.8166282Z --- Parse Warning: 55 / 105 --- 2024-12-18T00:12:54.8167429Z /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. 2024-12-18T00:12:54.8168699Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8169168Z 2024-12-18T00:12:54.8169458Z This configures FSDP-native mixed precision training. 2024-12-18T00:12:54.8169833Z 2024-12-18T00:12:54.8170040Z Attributes: 2024-12-18T00:12:54.8170411Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2024-12-18T00:12:54.8170969Z parameters during forward and backward and thus the dtype for 2024-12-18T00:12:54.8171509Z forward and backward computation. Outside forward and backward, the 2024-12-18T00:12:54.8172052Z *sharded* parameters are kept in full precision (e.g. for the 2024-12-18T00:12:54.8172576Z optimizer step), and for model checkpointing, the parameters are 2024-12-18T00:12:54.8173065Z always saved in full precision. (Default: ``None``) 2024-12-18T00:12:54.8173541Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-12-18T00:12:54.8174090Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2024-12-18T00:12:54.8174604Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2024-12-18T00:12:54.8175106Z the ``param_dtype`` value, still running gradient reduction in low 2024-12-18T00:12:54.8175645Z precision. This is permitted to differ from ``param_dtype``, e.g. 2024-12-18T00:12:54.8176176Z to force gradient reduction to run in full precision. (Default: 2024-12-18T00:12:54.8176570Z ``None``) 2024-12-18T00:12:54.8176949Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2024-12-18T00:12:54.8177479Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2024-12-18T00:12:54.8178003Z ``buffer_dtype`` in the first forward pass and keeps them in that 2024-12-18T00:12:54.8178534Z dtype thereafter. For model checkpointing, the buffers are saved 2024-12-18T00:12:54.8179035Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2024-12-18T00:12:54.8179433Z ``None``) 2024-12-18T00:12:54.8179823Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2024-12-18T00:12:54.8180365Z gradients to full precision after the backward pass in preparation 2024-12-18T00:12:54.8180916Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2024-12-18T00:12:54.8181445Z in the dtype used for gradient reduction, which can save memory if 2024-12-18T00:12:54.8181988Z using a custom optimizer that supports running in low precision. 2024-12-18T00:12:54.8182447Z (Default: ``False``) 2024-12-18T00:12:54.8182857Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2024-12-18T00:12:54.8183389Z its forward args and kwargs to ``param_dtype``. This is to ensure 2024-12-18T00:12:54.8183924Z that parameter and input dtypes match for forward computation, as 2024-12-18T00:12:54.8184447Z required by many ops. This may need to be set to ``True`` when only 2024-12-18T00:12:54.8184993Z applying mixed precision to some but not all FSDP modules, in which 2024-12-18T00:12:54.8185545Z case a mixed-precision FSDP submodule needs to recast its inputs. 2024-12-18T00:12:54.8186023Z (Default: ``False``) 2024-12-18T00:12:54.8186437Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2024-12-18T00:12:54.8186988Z casts its forward args and kwargs to ``param_dtype``, overriding 2024-12-18T00:12:54.8187490Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2024-12-18T00:12:54.8187956Z this does not do anything. (Default: ``True``) 2024-12-18T00:12:54.8188442Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2024-12-18T00:12:54.8188969Z module classes to ignore for mixed precision when using an 2024-12-18T00:12:54.8189463Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2024-12-18T00:12:54.8189983Z applied to them separately with mixed precision disabled (meaning 2024-12-18T00:12:54.8190508Z that the final FSDP construction would deviate from the specified 2024-12-18T00:12:54.8191031Z policy). If ``auto_wrap_policy`` is not specified, then this does 2024-12-18T00:12:54.8191551Z not do anything. This API is experimental and subject to change. 2024-12-18T00:12:54.8191985Z (Default: ``(_BatchNorm,)``) 2024-12-18T00:12:54.8192302Z 2024-12-18T00:12:54.8192596Z .. note:: This API is experimental and subject to change. 2024-12-18T00:12:54.8192972Z 2024-12-18T00:12:54.8193321Z .. note:: Only floating point tensors are cast to their specified dtypes. 2024-12-18T00:12:54.8193749Z 2024-12-18T00:12:54.8194060Z .. note:: In ``summon_full_params``, parameters are forced to full 2024-12-18T00:12:54.8194479Z precision, but buffers are not. 2024-12-18T00:12:54.8194777Z 2024-12-18T00:12:54.8195102Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2024-12-18T00:12:54.8195643Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2024-12-18T00:12:54.8196218Z Disabling FSDP's mixed precision for those norm modules only means that 2024-12-18T00:12:54.8196790Z the affine parameters are kept in ``float32``. However, this incurs 2024-12-18T00:12:54.8197345Z separate all-gathers and reduce-scatters for those norm modules, which 2024-12-18T00:12:54.8197921Z may be inefficient, so if the workload permits, the user should prefer 2024-12-18T00:12:54.8198411Z to still apply mixed precision to those modules. 2024-12-18T00:12:54.8198754Z 2024-12-18T00:12:54.8199081Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2024-12-18T00:12:54.8199613Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2024-12-18T00:12:54.8200155Z modules will have FSDP applied to them separately with mixed precision 2024-12-18T00:12:54.8200720Z disabled. See the ``_module_classes_to_ignore`` argument. 2024-12-18T00:12:54.8201095Z 2024-12-18T00:12:54.8201501Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2024-12-18T00:12:54.8202057Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2024-12-18T00:12:54.8202562Z its ``cast_root_forward_inputs`` takes precedence over its 2024-12-18T00:12:54.8203068Z ``cast_forward_inputs``. For non-root FSDP instances, their 2024-12-18T00:12:54.8203616Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2024-12-18T00:12:54.8204175Z sufficient for the typical case where each FSDP instance has the same 2024-12-18T00:12:54.8204743Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2024-12-18T00:12:54.8205277Z ``param_dtype`` at the beginning of the model's forward pass. 2024-12-18T00:12:54.8205652Z 2024-12-18T00:12:54.8205979Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2024-12-18T00:12:54.8206544Z configurations, we recommend setting individual ``cast_forward_inputs`` 2024-12-18T00:12:54.8207137Z values to configure casting inputs or not before each instance's 2024-12-18T00:12:54.8207666Z forward. In such a case, since the casts happen before each FSDP 2024-12-18T00:12:54.8208202Z instance's forward, a parent FSDP instance should have its non-FSDP 2024-12-18T00:12:54.8208765Z submodules run before its FSDP submodules to avoid the activation dtype 2024-12-18T00:12:54.8209339Z being changed due to a different ``MixedPrecision`` configuration. 2024-12-18T00:12:54.8209758Z 2024-12-18T00:12:54.8209970Z Example:: 2024-12-18T00:12:54.8210204Z 2024-12-18T00:12:54.8210447Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8210868Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2024-12-18T00:12:54.8211254Z >>> model[1] = FSDP( 2024-12-18T00:12:54.8211547Z >>> model[1], 2024-12-18T00:12:54.8212031Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2024-12-18T00:12:54.8212531Z >>> ) 2024-12-18T00:12:54.8212770Z >>> model = FSDP( 2024-12-18T00:12:54.8213045Z >>> model, 2024-12-18T00:12:54.8213522Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2024-12-18T00:12:54.8214034Z >>> ) 2024-12-18T00:12:54.8214252Z 2024-12-18T00:12:54.8214583Z The above shows a working example. On the other hand, if ``model[1]`` 2024-12-18T00:12:54.8215117Z were replaced with ``model[0]``, meaning that the submodule using 2024-12-18T00:12:54.8215667Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2024-12-18T00:12:54.8216235Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2024-12-18T00:12:54.8216652Z ones. 2024-12-18T00:12:54.8216873Z 2024-12-18T00:12:54.8217074Z 2024-12-18T00:12:54.8217440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8217895Z 2024-12-18T00:12:54.8218099Z warnings.warn(msg) 2024-12-18T00:12:54.8218357Z 2024-12-18T00:12:54.8218694Z --- Parse Warning: 56 / 105 --- 2024-12-18T00:12:54.8220108Z /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=649. 2024-12-18T00:12:54.8221641Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8222276Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-12-18T00:12:54.8222719Z 2024-12-18T00:12:54.8223105Z Also takes (optional) configuration for the model's and optimizer's state dict. 2024-12-18T00:12:54.8223747Z The target module does not have to be a FSDP module. If the target 2024-12-18T00:12:54.8224297Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2024-12-18T00:12:54.8224716Z 2024-12-18T00:12:54.8225033Z .. note:: This API should be called for only the top-level (root) 2024-12-18T00:12:54.8225485Z module. 2024-12-18T00:12:54.8225731Z 2024-12-18T00:12:54.8226058Z .. note:: This API enables users to transparently use the conventional 2024-12-18T00:12:54.8226583Z ``state_dict`` API to take model checkpoints in cases where the 2024-12-18T00:12:54.8227102Z root FSDP module is wrapped by another ``nn.Module``. For example, 2024-12-18T00:12:54.8227631Z the following will ensure ``state_dict`` is called on all non-FSDP 2024-12-18T00:12:54.8228205Z instances, while dispatching into `sharded_state_dict` implementation 2024-12-18T00:12:54.8228667Z for FSDP: 2024-12-18T00:12:54.8228921Z 2024-12-18T00:12:54.8229135Z Example:: 2024-12-18T00:12:54.8229402Z 2024-12-18T00:12:54.8229660Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8230023Z >>> model = DDP(FSDP(...)) 2024-12-18T00:12:54.8230368Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:54.8230698Z >>> model, 2024-12-18T00:12:54.8231005Z >>> StateDictType.SHARDED_STATE_DICT, 2024-12-18T00:12:54.8231477Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2024-12-18T00:12:54.8232051Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2024-12-18T00:12:54.8232490Z >>> ) 2024-12-18T00:12:54.8232776Z >>> param_state_dict = model.state_dict() 2024-12-18T00:12:54.8233203Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-12-18T00:12:54.8233573Z 2024-12-18T00:12:54.8233780Z Args: 2024-12-18T00:12:54.8234061Z module (torch.nn.Module): Root module. 2024-12-18T00:12:54.8234537Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-12-18T00:12:54.8235136Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2024-12-18T00:12:54.8235606Z target ``state_dict_type``. 2024-12-18T00:12:54.8236094Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2024-12-18T00:12:54.8236593Z for the optimizer state dict. 2024-12-18T00:12:54.8236919Z 2024-12-18T00:12:54.8237135Z Returns: 2024-12-18T00:12:54.8237505Z A StateDictSettings that include the previous state_dict type and 2024-12-18T00:12:54.8237967Z configuration for the module. 2024-12-18T00:12:54.8238286Z 2024-12-18T00:12:54.8238668Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8239121Z 2024-12-18T00:12:54.8239329Z warnings.warn(msg) 2024-12-18T00:12:54.8239586Z 2024-12-18T00:12:54.8239904Z --- Parse Warning: 57 / 105 --- 2024-12-18T00:12:54.8241303Z /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=805. 2024-12-18T00:12:54.8242888Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8243523Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2024-12-18T00:12:54.8243963Z 2024-12-18T00:12:54.8244398Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2024-12-18T00:12:54.8245015Z :meth:`set_state_dict_type` for the detail. 2024-12-18T00:12:54.8245346Z 2024-12-18T00:12:54.8245565Z Example:: 2024-12-18T00:12:54.8245797Z 2024-12-18T00:12:54.8246047Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8246410Z >>> model = DDP(FSDP(...)) 2024-12-18T00:12:54.8246807Z >>> with FSDP.state_dict_type( 2024-12-18T00:12:54.8247131Z >>> model, 2024-12-18T00:12:54.8247432Z >>> StateDictType.SHARDED_STATE_DICT, 2024-12-18T00:12:54.8247773Z >>> ): 2024-12-18T00:12:54.8248059Z >>> checkpoint = model.state_dict() 2024-12-18T00:12:54.8248386Z 2024-12-18T00:12:54.8248595Z Args: 2024-12-18T00:12:54.8248857Z module (torch.nn.Module): Root module. 2024-12-18T00:12:54.8249336Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2024-12-18T00:12:54.8249927Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2024-12-18T00:12:54.8250475Z configuration for the target ``state_dict_type``. 2024-12-18T00:12:54.8250990Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2024-12-18T00:12:54.8251546Z ``state_dict`` configuration for the target ``state_dict_type``. 2024-12-18T00:12:54.8251947Z 2024-12-18T00:12:54.8252333Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8252786Z 2024-12-18T00:12:54.8253006Z warnings.warn(msg) 2024-12-18T00:12:54.8253267Z 2024-12-18T00:12:54.8253575Z --- Parse Warning: 58 / 105 --- 2024-12-18T00:12:54.8254958Z /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=1818. 2024-12-18T00:12:54.8256480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8256948Z 2024-12-18T00:12:54.8257311Z Transform the state-dict of an optimizer corresponding to a sharded model. 2024-12-18T00:12:54.8257755Z 2024-12-18T00:12:54.8258281Z The given state-dict can be transformed to one of three types: 2024-12-18T00:12:54.8258896Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2024-12-18T00:12:54.8259402Z 2024-12-18T00:12:54.8259754Z For full optimizer state_dict, all states are unflattened and not sharded. 2024-12-18T00:12:54.8260323Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2024-12-18T00:12:54.8260735Z avoid OOM. 2024-12-18T00:12:54.8260963Z 2024-12-18T00:12:54.8261315Z For sharded optimizer state_dict, all states are unflattened but sharded. 2024-12-18T00:12:54.8261875Z CPU only can be specified via :meth:`state_dict_type` to further save 2024-12-18T00:12:54.8262285Z memory. 2024-12-18T00:12:54.8262488Z 2024-12-18T00:12:54.8262827Z For local state_dict, no transformation will be performed. But a state 2024-12-18T00:12:54.8263408Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2024-12-18T00:12:54.8263893Z nature (this is not supported yet). 2024-12-18T00:12:54.8264207Z 2024-12-18T00:12:54.8264406Z Example:: 2024-12-18T00:12:54.8264629Z 2024-12-18T00:12:54.8264889Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8265371Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-12-18T00:12:54.8265887Z >>> from torch.distributed.fsdp import StateDictType 2024-12-18T00:12:54.8266342Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-12-18T00:12:54.8266832Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-12-18T00:12:54.8267351Z >>> # Save a checkpoint 2024-12-18T00:12:54.8267650Z >>> model, optim = ... 2024-12-18T00:12:54.8267962Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:54.8268271Z >>> model, 2024-12-18T00:12:54.8268542Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:54.8268914Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8269405Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8269760Z >>> ) 2024-12-18T00:12:54.8270018Z >>> state_dict = model.state_dict() 2024-12-18T00:12:54.8270405Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2024-12-18T00:12:54.8270849Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-12-18T00:12:54.8271219Z >>> # Load a checkpoint 2024-12-18T00:12:54.8271517Z >>> model, optim = ... 2024-12-18T00:12:54.8271861Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-12-18T00:12:54.8272236Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:54.8272545Z >>> model, 2024-12-18T00:12:54.8272865Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:54.8273239Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8273636Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8273976Z >>> ) 2024-12-18T00:12:54.8274236Z >>> model.load_state_dict(state_dict) 2024-12-18T00:12:54.8274621Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:54.8275008Z >>> model, optim, optim_state_dict 2024-12-18T00:12:54.8275325Z >>> ) 2024-12-18T00:12:54.8275572Z >>> optim.load_state_dict(optim_state_dict) 2024-12-18T00:12:54.8275897Z 2024-12-18T00:12:54.8276105Z Args: 2024-12-18T00:12:54.8276426Z model (torch.nn.Module): Root module (which may or may not be a 2024-12-18T00:12:54.8276948Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-12-18T00:12:54.8277395Z were passed into the optimizer ``optim``. 2024-12-18T00:12:54.8277832Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-12-18T00:12:54.8278224Z parameters. 2024-12-18T00:12:54.8278601Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2024-12-18T00:12:54.8279149Z transform. If the value is None, optim.state_dict() will be used. ( 2024-12-18T00:12:54.8279581Z Default: ``None``) 2024-12-18T00:12:54.8279998Z group (dist.ProcessGroup): Model's process group across which parameters 2024-12-18T00:12:54.8280547Z are sharded or ``None`` if using the default process group. ( 2024-12-18T00:12:54.8280949Z Default: ``None``) 2024-12-18T00:12:54.8281218Z 2024-12-18T00:12:54.8281499Z Returns: 2024-12-18T00:12:54.8281826Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2024-12-18T00:12:54.8282311Z ``model``. The sharding of the optimizer state is based on 2024-12-18T00:12:54.8282698Z ``state_dict_type``. 2024-12-18T00:12:54.8282970Z 2024-12-18T00:12:54.8283340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8283780Z 2024-12-18T00:12:54.8283997Z warnings.warn(msg) 2024-12-18T00:12:54.8284251Z 2024-12-18T00:12:54.8284598Z --- Parse Warning: 59 / 105 --- 2024-12-18T00:12:54.8286016Z /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=1916. 2024-12-18T00:12:54.8287560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8288015Z 2024-12-18T00:12:54.8288479Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2024-12-18T00:12:54.8289088Z 2024-12-18T00:12:54.8289384Z Given a ``optim_state_dict`` that is transformed through 2024-12-18T00:12:54.8289891Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2024-12-18T00:12:54.8290426Z state_dict that can be loaded to ``optim`` which is the optimizer for 2024-12-18T00:12:54.8291004Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2024-12-18T00:12:54.8291393Z 2024-12-18T00:12:54.8291648Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8292132Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2024-12-18T00:12:54.8292637Z >>> from torch.distributed.fsdp import StateDictType 2024-12-18T00:12:54.8293097Z >>> from torch.distributed.fsdp import FullStateDictConfig 2024-12-18T00:12:54.8293593Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2024-12-18T00:12:54.8294014Z >>> # Save a checkpoint 2024-12-18T00:12:54.8294305Z >>> model, optim = ... 2024-12-18T00:12:54.8294589Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:54.8294922Z >>> model, 2024-12-18T00:12:54.8295201Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:54.8295569Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8295964Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8296313Z >>> ) 2024-12-18T00:12:54.8296548Z >>> state_dict = model.state_dict() 2024-12-18T00:12:54.8296895Z >>> original_osd = optim.state_dict() 2024-12-18T00:12:54.8297260Z >>> optim_state_dict = FSDP.optim_state_dict( 2024-12-18T00:12:54.8297596Z >>> model, 2024-12-18T00:12:54.8297841Z >>> optim, 2024-12-18T00:12:54.8298102Z >>> optim_state_dict=original_osd 2024-12-18T00:12:54.8298416Z >>> ) 2024-12-18T00:12:54.8298702Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2024-12-18T00:12:54.8299063Z >>> # Load a checkpoint 2024-12-18T00:12:54.8299340Z >>> model, optim = ... 2024-12-18T00:12:54.8299683Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2024-12-18T00:12:54.8300066Z >>> FSDP.set_state_dict_type( 2024-12-18T00:12:54.8300370Z >>> model, 2024-12-18T00:12:54.8300649Z >>> StateDictType.FULL_STATE_DICT, 2024-12-18T00:12:54.8301017Z >>> FullStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8301397Z >>> FullOptimStateDictConfig(rank0_only=False), 2024-12-18T00:12:54.8301743Z >>> ) 2024-12-18T00:12:54.8301996Z >>> model.load_state_dict(state_dict) 2024-12-18T00:12:54.8302381Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2024-12-18T00:12:54.8302766Z >>> model, optim, optim_state_dict 2024-12-18T00:12:54.8303068Z >>> ) 2024-12-18T00:12:54.8303330Z >>> optim.load_state_dict(optim_state_dict) 2024-12-18T00:12:54.8303658Z 2024-12-18T00:12:54.8303866Z Args: 2024-12-18T00:12:54.8304189Z model (torch.nn.Module): Root module (which may or may not be a 2024-12-18T00:12:54.8304701Z :class:`FullyShardedDataParallel` instance) whose parameters 2024-12-18T00:12:54.8305161Z were passed into the optimizer ``optim``. 2024-12-18T00:12:54.8305597Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2024-12-18T00:12:54.8306002Z parameters. 2024-12-18T00:12:54.8306386Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2024-12-18T00:12:54.8306909Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2024-12-18T00:12:54.8307121Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2024-12-18T00:12:54.8307303Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2024-12-18T00:12:54.8307512Z load_directly (bool): If this is set to True, this API will also 2024-12-18T00:12:54.8307745Z call optim.load_state_dict(result) before returning the result. 2024-12-18T00:12:54.8307983Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2024-12-18T00:12:54.8308087Z (Default: ``False``) 2024-12-18T00:12:54.8308327Z group (dist.ProcessGroup): Model's process group across which parameters 2024-12-18T00:12:54.8308556Z are sharded or ``None`` if using the default process group. ( 2024-12-18T00:12:54.8308683Z Default: ``None``) 2024-12-18T00:12:54.8308783Z 2024-12-18T00:12:54.8309035Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8309129Z 2024-12-18T00:12:54.8309231Z warnings.warn(msg) 2024-12-18T00:12:54.8309315Z 2024-12-18T00:12:54.8309534Z --- Parse Warning: 60 / 105 --- 2024-12-18T00:12:54.8310514Z /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. 2024-12-18T00:12:54.8310821Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8310906Z 2024-12-18T00:12:54.8311132Z RemoteModule instance can only be created after RPC initialization. 2024-12-18T00:12:54.8311235Z 2024-12-18T00:12:54.8311430Z It creates a user-specified module on a specified remote node. 2024-12-18T00:12:54.8311673Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-12-18T00:12:54.8311782Z executed on the remote node. 2024-12-18T00:12:54.8312028Z It takes care of autograd recording to ensure the backward pass propagates 2024-12-18T00:12:54.8312188Z gradients back to the corresponding remote module. 2024-12-18T00:12:54.8312544Z It can be shared across processors using `RPC framework `__, 2024-12-18T00:12:54.8312755Z without incurring any overheads of copying the actual module, 2024-12-18T00:12:54.8312954Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2024-12-18T00:12:54.8313075Z pointing to the remote module. 2024-12-18T00:12:54.8313158Z 2024-12-18T00:12:54.8313369Z The arguments of ``forward_async`` and ``forward`` are the same as 2024-12-18T00:12:54.8313577Z the ``forward`` method of the module returned by the ``module_cls``. 2024-12-18T00:12:54.8313661Z 2024-12-18T00:12:54.8313978Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2024-12-18T00:12:54.8314062Z 2024-12-18T00:12:54.8314319Z Particularly, to create a hybrid model, typically the local modules should be 2024-12-18T00:12:54.8314688Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2024-12-18T00:12:54.8314793Z Hybrid Example: 2024-12-18T00:12:54.8314915Z >>> class HybridModel(nn.Module): 2024-12-18T00:12:54.8315031Z >>> def __init__(self) -> None: 2024-12-18T00:12:54.8315160Z >>> nn.Module.__init__(self) 2024-12-18T00:12:54.8315305Z >>> self.remote_embedding = RemoteModule(...) 2024-12-18T00:12:54.8315444Z >>> self.local_linear = nn.Linear(...) 2024-12-18T00:12:54.8315527Z 2024-12-18T00:12:54.8315732Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-12-18T00:12:54.8315994Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2024-12-18T00:12:54.8316202Z the generated ``RemoteModule`` will have 2 methods in signature of 2024-12-18T00:12:54.8316347Z ``def forward(input: Tensor) -> Tensor:`` and 2024-12-18T00:12:54.8316514Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2024-12-18T00:12:54.8316614Z 2024-12-18T00:12:54.8316707Z .. note:: 2024-12-18T00:12:54.8316880Z If the remote module is placed on a cuda device, 2024-12-18T00:12:54.8317129Z any input CPU tensors will be automatically moved to the same cuda device, 2024-12-18T00:12:54.8317521Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2024-12-18T00:12:54.8317617Z 2024-12-18T00:12:54.8317703Z Args: 2024-12-18T00:12:54.8318029Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:54.8332337Z The device can be a local device or a remote device specified by one of the following remote 2024-12-18T00:12:54.8332514Z formats: 2024-12-18T00:12:54.8332601Z 2024-12-18T00:12:54.8332773Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-12-18T00:12:54.8332932Z 2. "/" (ex: "trainer0/cuda:0"). 2024-12-18T00:12:54.8333029Z 2024-12-18T00:12:54.8333282Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:54.8333417Z module_cls (nn.Module): For example, 2024-12-18T00:12:54.8333643Z >>> class MyModule(nn.Module): 2024-12-18T00:12:54.8333751Z >>> def forward(input): 2024-12-18T00:12:54.8333872Z >>> return input + 1 2024-12-18T00:12:54.8333959Z >>> 2024-12-18T00:12:54.8334078Z >>> module_cls = MyModule 2024-12-18T00:12:54.8334288Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-12-18T00:12:54.8334482Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-12-18T00:12:54.8334774Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-12-18T00:12:54.8335013Z to be created. The type object should be decorated by @torch.jit.interface. 2024-12-18T00:12:54.8335247Z If not provided, the generated RemoteModule is not torchscript-able. 2024-12-18T00:12:54.8335484Z Warning, this is an experimental API and susceptible to frequent changes. 2024-12-18T00:12:54.8335582Z 2024-12-18T00:12:54.8335671Z Returns: 2024-12-18T00:12:54.8335916Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:54.8336160Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-12-18T00:12:54.8336434Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:54.8336594Z on the user-provided module on the remote side. 2024-12-18T00:12:54.8336678Z 2024-12-18T00:12:54.8336778Z Example:: 2024-12-18T00:12:54.8336947Z Run the following code in two different processes: 2024-12-18T00:12:54.8337031Z 2024-12-18T00:12:54.8337163Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8337258Z >>> # On worker 0: 2024-12-18T00:12:54.8337367Z >>> import torch 2024-12-18T00:12:54.8337500Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8337611Z >>> from torch import nn, Tensor 2024-12-18T00:12:54.8337848Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:54.8337934Z >>> 2024-12-18T00:12:54.8338090Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:54.8338215Z >>> remote_linear_module = RemoteModule( 2024-12-18T00:12:54.8338348Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:54.8338449Z >>> ) 2024-12-18T00:12:54.8338560Z >>> input = torch.randn(128, 20) 2024-12-18T00:12:54.8338729Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-12-18T00:12:54.8338831Z >>> ret = ret_fut.wait() 2024-12-18T00:12:54.8338943Z >>> rpc.shutdown() 2024-12-18T00:12:54.8339027Z 2024-12-18T00:12:54.8339122Z >>> # On worker 1: 2024-12-18T00:12:54.8339231Z >>> import torch 2024-12-18T00:12:54.8339398Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8339498Z >>> 2024-12-18T00:12:54.8339639Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:54.8339740Z >>> rpc.shutdown() 2024-12-18T00:12:54.8339841Z 2024-12-18T00:12:54.8340099Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8340197Z 2024-12-18T00:12:54.8340300Z warnings.warn(msg) 2024-12-18T00:12:54.8340462Z 2024-12-18T00:12:54.8340729Z --- Parse Warning: 61 / 105 --- 2024-12-18T00:12:54.8341771Z /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. 2024-12-18T00:12:54.8342053Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8342138Z 2024-12-18T00:12:54.8342474Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2024-12-18T00:12:54.8342556Z 2024-12-18T00:12:54.8342916Z This alternate initialization method can be particularly useful if we want to create multiple 2024-12-18T00:12:54.8343231Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2024-12-18T00:12:54.8343314Z 2024-12-18T00:12:54.8343608Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2024-12-18T00:12:54.8343785Z which is not supported. The recommended way is as follows: 2024-12-18T00:12:54.8343882Z 2024-12-18T00:12:54.8344003Z 1. the sender creates a RemoteModule; 2024-12-18T00:12:54.8344149Z 2. the sender sends its ``module_rref`` over RPC; 2024-12-18T00:12:54.8344494Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2024-12-18T00:12:54.8344578Z 2024-12-18T00:12:54.8344686Z Example:: 2024-12-18T00:12:54.8344840Z Run the following code in two different processes: 2024-12-18T00:12:54.8344936Z 2024-12-18T00:12:54.8345056Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8345149Z >>> # On worker 0: 2024-12-18T00:12:54.8345256Z >>> import torch 2024-12-18T00:12:54.8345385Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8345513Z >>> from torch import nn, Tensor 2024-12-18T00:12:54.8345735Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:54.8345821Z >>> 2024-12-18T00:12:54.8345973Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:54.8346086Z >>> remote_module = RemoteModule( 2024-12-18T00:12:54.8346228Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:54.8346315Z >>> ) 2024-12-18T00:12:54.8346415Z >>> 2024-12-18T00:12:54.8346530Z >>> remote_module1 = rpc.rpc_sync( 2024-12-18T00:12:54.8346632Z >>> "worker1/cpu", 2024-12-18T00:12:54.8346773Z >>> RemoteModule.init_from_module_rref, 2024-12-18T00:12:54.8346933Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2024-12-18T00:12:54.8347035Z >>> ) 2024-12-18T00:12:54.8347131Z >>> rpc.shutdown() 2024-12-18T00:12:54.8347214Z 2024-12-18T00:12:54.8347320Z >>> # On worker 1: 2024-12-18T00:12:54.8347417Z >>> import torch 2024-12-18T00:12:54.8347558Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8347642Z >>> 2024-12-18T00:12:54.8347782Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:54.8347894Z >>> rpc.shutdown() 2024-12-18T00:12:54.8347977Z 2024-12-18T00:12:54.8348077Z Args: 2024-12-18T00:12:54.8348374Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:54.8348673Z The device can be a local device or a remote device specified by one of the following remote 2024-12-18T00:12:54.8348788Z formats: 2024-12-18T00:12:54.8348872Z 2024-12-18T00:12:54.8349028Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2024-12-18T00:12:54.8349182Z 2. "/" (ex: "trainer0/cuda:0"). 2024-12-18T00:12:54.8349278Z 2024-12-18T00:12:54.8349547Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:54.8349836Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2024-12-18T00:12:54.8349948Z the created remote module. 2024-12-18T00:12:54.8350223Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2024-12-18T00:12:54.8350469Z to be created. The type object should be decorated by @torch.jit.interface. 2024-12-18T00:12:54.8350689Z If not provided, the generated RemoteModule is not torchscript-able. 2024-12-18T00:12:54.8350943Z Warning, this is an experimental API and susceptible to frequent changes. 2024-12-18T00:12:54.8351028Z 2024-12-18T00:12:54.8351129Z Returns: 2024-12-18T00:12:54.8351403Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:54.8351642Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2024-12-18T00:12:54.8351931Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:54.8352078Z on the user-provided module on the remote side. 2024-12-18T00:12:54.8352179Z 2024-12-18T00:12:54.8352432Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8352521Z 2024-12-18T00:12:54.8352635Z warnings.warn(msg) 2024-12-18T00:12:54.8352720Z 2024-12-18T00:12:54.8352933Z --- Parse Warning: 62 / 105 --- 2024-12-18T00:12:54.8353886Z /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. 2024-12-18T00:12:54.8354164Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8354250Z 2024-12-18T00:12:54.8354481Z A RemoteModule instance can only be created after RPC initialization. 2024-12-18T00:12:54.8354587Z 2024-12-18T00:12:54.8354782Z It creates a user-specified module on a specified remote node. 2024-12-18T00:12:54.8355029Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2024-12-18T00:12:54.8355139Z executed on the remote node. 2024-12-18T00:12:54.8355388Z It takes care of autograd recording to ensure the backward pass propagates 2024-12-18T00:12:54.8355550Z gradients back to the corresponding remote module. 2024-12-18T00:12:54.8355635Z 2024-12-18T00:12:54.8355869Z It generates two methods ``forward_async`` and ``forward`` based on the 2024-12-18T00:12:54.8356086Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2024-12-18T00:12:54.8356351Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2024-12-18T00:12:54.8356552Z and ``forward`` are the same as the ``forward`` method of the module 2024-12-18T00:12:54.8356683Z returned by the ``module_cls``. 2024-12-18T00:12:54.8356767Z 2024-12-18T00:12:54.8356967Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2024-12-18T00:12:54.8357232Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2024-12-18T00:12:54.8357459Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2024-12-18T00:12:54.8357558Z 2024-12-18T00:12:54.8357683Z | ``def forward(input: Tensor) -> Tensor:`` 2024-12-18T00:12:54.8357857Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2024-12-18T00:12:54.8358160Z 2024-12-18T00:12:54.8358256Z Args: 2024-12-18T00:12:54.8358570Z remote_device (str): Device on the destination worker where we'd like to place this module. 2024-12-18T00:12:54.8358910Z The format should be "/", where the device field can be parsed as torch.device type. 2024-12-18T00:12:54.8359126Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2024-12-18T00:12:54.8359404Z In addition, the device field can be optional and the default value is "cpu". 2024-12-18T00:12:54.8359667Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2024-12-18T00:12:54.8359752Z 2024-12-18T00:12:54.8359865Z >>> class MyModule(nn.Module): 2024-12-18T00:12:54.8359983Z >>> def forward(input): 2024-12-18T00:12:54.8360088Z >>> return input + 1 2024-12-18T00:12:54.8360189Z >>> 2024-12-18T00:12:54.8360295Z >>> module_cls = MyModule 2024-12-18T00:12:54.8360376Z 2024-12-18T00:12:54.8360585Z args (Sequence, optional): args to be passed to ``module_cls``. 2024-12-18T00:12:54.8360812Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2024-12-18T00:12:54.8360907Z 2024-12-18T00:12:54.8360995Z Returns: 2024-12-18T00:12:54.8361246Z A remote module instance which wraps the :class:`~nn.Module` created by the 2024-12-18T00:12:54.8361543Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2024-12-18T00:12:54.8361817Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2024-12-18T00:12:54.8361971Z on the user-provided module on the remote side. 2024-12-18T00:12:54.8362053Z 2024-12-18T00:12:54.8362163Z Example:: 2024-12-18T00:12:54.8362317Z Run the following code in two different processes: 2024-12-18T00:12:54.8362413Z 2024-12-18T00:12:54.8362532Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8362623Z >>> # On worker 0: 2024-12-18T00:12:54.8362730Z >>> import torch 2024-12-18T00:12:54.8362860Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8362984Z >>> from torch import nn, Tensor 2024-12-18T00:12:54.8363206Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2024-12-18T00:12:54.8363293Z >>> 2024-12-18T00:12:54.8363447Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2024-12-18T00:12:54.8363569Z >>> remote_linear_module = RemoteModule( 2024-12-18T00:12:54.8363710Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2024-12-18T00:12:54.8363797Z >>> ) 2024-12-18T00:12:54.8363919Z >>> input = torch.randn(128, 20) 2024-12-18T00:12:54.8364074Z >>> ret_fut = remote_linear_module.forward_async(input) 2024-12-18T00:12:54.8364174Z >>> ret = ret_fut.wait() 2024-12-18T00:12:54.8364286Z >>> rpc.shutdown() 2024-12-18T00:12:54.8364372Z 2024-12-18T00:12:54.8364473Z >>> # On worker 1: 2024-12-18T00:12:54.8364567Z >>> import torch 2024-12-18T00:12:54.8364696Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8364791Z >>> 2024-12-18T00:12:54.8364928Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2024-12-18T00:12:54.8365036Z >>> rpc.shutdown() 2024-12-18T00:12:54.8365120Z 2024-12-18T00:12:54.8365312Z Furthermore, a more practical example that is combined with 2024-12-18T00:12:54.8365797Z `DistributedDataParallel `__ (DDP) 2024-12-18T00:12:54.8366124Z can be found in this `tutorial `__. 2024-12-18T00:12:54.8366220Z 2024-12-18T00:12:54.8366471Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8366566Z 2024-12-18T00:12:54.8366703Z warnings.warn(msg) 2024-12-18T00:12:54.8366784Z 2024-12-18T00:12:54.8367022Z --- Parse Warning: 63 / 105 --- 2024-12-18T00:12:54.8367992Z /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. 2024-12-18T00:12:54.8368325Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8368415Z 2024-12-18T00:12:54.8368673Z DistributedOptimizer takes remote references to parameters scattered 2024-12-18T00:12:54.8368913Z across workers and applies the given optimizer locally for each parameter. 2024-12-18T00:12:54.8368996Z 2024-12-18T00:12:54.8369243Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2024-12-18T00:12:54.8369399Z to retrieve the gradients for specific parameters. 2024-12-18T00:12:54.8369500Z 2024-12-18T00:12:54.8369598Z Concurrent calls to 2024-12-18T00:12:54.8369817Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2024-12-18T00:12:54.8370002Z either from the same or different clients, will 2024-12-18T00:12:54.8370224Z be serialized on each worker -- as each worker's optimizer can only work 2024-12-18T00:12:54.8370440Z on one set of gradients at a time. However, there is no guarantee that 2024-12-18T00:12:54.8370696Z the full forward-backward-optimizer sequence will execute for one client 2024-12-18T00:12:54.8370923Z at a time. This means that the gradients being applied may not correspond 2024-12-18T00:12:54.8371143Z to the latest forward pass executed on a given worker. Also, there is no 2024-12-18T00:12:54.8371269Z guaranteed ordering across workers. 2024-12-18T00:12:54.8371353Z 2024-12-18T00:12:54.8371615Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2024-12-18T00:12:54.8371859Z by default, so that optimizer updates are not blocked by the Python Global 2024-12-18T00:12:54.8372104Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2024-12-18T00:12:54.8372359Z Model Parallel). This feature is currently enabled for most optimizers. You 2024-12-18T00:12:54.8372610Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2024-12-18T00:12:54.8372734Z for your own custom optimizers. 2024-12-18T00:12:54.8372825Z 2024-12-18T00:12:54.8372912Z Args: 2024-12-18T00:12:54.8373120Z optimizer_class (optim.Optimizer): the class of optimizer to 2024-12-18T00:12:54.8373230Z instantiate on each worker. 2024-12-18T00:12:54.8373450Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2024-12-18T00:12:54.8373546Z to optimize. 2024-12-18T00:12:54.8373758Z args: arguments to pass to the optimizer constructor on each worker. 2024-12-18T00:12:54.8373992Z kwargs: arguments to pass to the optimizer constructor on each worker. 2024-12-18T00:12:54.8374076Z 2024-12-18T00:12:54.8374181Z Example:: 2024-12-18T00:12:54.8374300Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8374478Z >>> import torch.distributed.autograd as dist_autograd 2024-12-18T00:12:54.8374605Z >>> import torch.distributed.rpc as rpc 2024-12-18T00:12:54.8374709Z >>> from torch import optim 2024-12-18T00:12:54.8374913Z >>> from torch.distributed.optim import DistributedOptimizer 2024-12-18T00:12:54.8374998Z >>> 2024-12-18T00:12:54.8375146Z >>> with dist_autograd.context() as context_id: 2024-12-18T00:12:54.8375246Z >>> # Forward pass. 2024-12-18T00:12:54.8375445Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2024-12-18T00:12:54.8375649Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2024-12-18T00:12:54.8375775Z >>> loss = rref1.to_here() + rref2.to_here() 2024-12-18T00:12:54.8375915Z >>> 2024-12-18T00:12:54.8376014Z >>> # Backward pass. 2024-12-18T00:12:54.8376176Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2024-12-18T00:12:54.8376263Z >>> 2024-12-18T00:12:54.8376359Z >>> # Optimizer. 2024-12-18T00:12:54.8376495Z >>> dist_optim = DistributedOptimizer( 2024-12-18T00:12:54.8376588Z >>> optim.SGD, 2024-12-18T00:12:54.8376747Z >>> [rref1, rref2], 2024-12-18T00:12:54.8376839Z >>> lr=0.05, 2024-12-18T00:12:54.8376925Z >>> ) 2024-12-18T00:12:54.8377051Z >>> dist_optim.step(context_id) 2024-12-18T00:12:54.8377135Z 2024-12-18T00:12:54.8377302Z __ https://github.com/pytorch/tutorials/pull/1465 2024-12-18T00:12:54.8377384Z 2024-12-18T00:12:54.8377635Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8377737Z 2024-12-18T00:12:54.8377836Z warnings.warn(msg) 2024-12-18T00:12:54.8377929Z 2024-12-18T00:12:54.8378131Z --- Parse Warning: 64 / 105 --- 2024-12-18T00:12:54.8379195Z /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. 2024-12-18T00:12:54.8379476Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8379564Z 2024-12-18T00:12:54.8379964Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2024-12-18T00:12:54.8380119Z This optimizer runs local optimizer at every step. 2024-12-18T00:12:54.8380456Z After the warm-up stage, it averages parameters periodically afer the local optimizer is applied. 2024-12-18T00:12:54.8380539Z 2024-12-18T00:12:54.8380626Z Args: 2024-12-18T00:12:54.8380743Z optim: The local optimizer. 2024-12-18T00:12:54.8380962Z averager: A model averager instance to run post-localSGD algorithm. 2024-12-18T00:12:54.8381056Z 2024-12-18T00:12:54.8381149Z Example:: 2024-12-18T00:12:54.8381243Z 2024-12-18T00:12:54.8381372Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8381464Z >>> import torch 2024-12-18T00:12:54.8381593Z >>> import torch.distributed as dist 2024-12-18T00:12:54.8381869Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2024-12-18T00:12:54.8381983Z >>> import torch.nn as nn 2024-12-18T00:12:54.8382181Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2024-12-18T00:12:54.8382452Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2024-12-18T00:12:54.8382568Z >>> PostLocalSGDState, 2024-12-18T00:12:54.8382672Z >>> post_localSGD_hook, 2024-12-18T00:12:54.8382770Z >>> ) 2024-12-18T00:12:54.8382860Z >>> 2024-12-18T00:12:54.8383025Z >>> model = nn.parallel.DistributedDataParallel( 2024-12-18T00:12:54.8383167Z >>> module, device_ids=[rank], output_device=rank 2024-12-18T00:12:54.8383252Z >>> ) 2024-12-18T00:12:54.8383347Z >>> 2024-12-18T00:12:54.8383498Z >>> # Register a post-localSGD communication hook. 2024-12-18T00:12:54.8383807Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2024-12-18T00:12:54.8383970Z >>> model.register_comm_hook(state, post_localSGD_hook) 2024-12-18T00:12:54.8384056Z >>> 2024-12-18T00:12:54.8384269Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2024-12-18T00:12:54.8384522Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2024-12-18T00:12:54.8384697Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2024-12-18T00:12:54.8384905Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2024-12-18T00:12:54.8385061Z >>> opt = PostLocalSGDOptimizer( 2024-12-18T00:12:54.8385163Z >>> optim=local_optim, 2024-12-18T00:12:54.8385410Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2024-12-18T00:12:54.8385506Z >>> ) 2024-12-18T00:12:54.8385593Z >>> 2024-12-18T00:12:54.8385854Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2024-12-18T00:12:54.8386177Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2024-12-18T00:12:54.8386561Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2024-12-18T00:12:54.8386667Z >>> for step in range(0, 200): 2024-12-18T00:12:54.8386765Z >>> opt.zero_grad() 2024-12-18T00:12:54.8386890Z >>> loss = loss_fn(output, labels) 2024-12-18T00:12:54.8386987Z >>> loss.backward() 2024-12-18T00:12:54.8387097Z >>> opt.step() 2024-12-18T00:12:54.8387179Z 2024-12-18T00:12:54.8387469Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8387551Z 2024-12-18T00:12:54.8387649Z warnings.warn(msg) 2024-12-18T00:12:54.8387744Z 2024-12-18T00:12:54.8387937Z --- Parse Warning: 65 / 105 --- 2024-12-18T00:12:54.8389018Z /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. 2024-12-18T00:12:54.8389278Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8389372Z 2024-12-18T00:12:54.8389771Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2024-12-18T00:12:54.8389853Z 2024-12-18T00:12:54.8389993Z The sharing is done as described by ZeRO_. 2024-12-18T00:12:54.8390072Z 2024-12-18T00:12:54.8390235Z The local optimizer instance in each rank is only 2024-12-18T00:12:54.8390478Z responsible for updating approximately ``1 / world_size`` parameters and 2024-12-18T00:12:54.8390678Z hence only needs to keep ``1 / world_size`` optimizer states. After 2024-12-18T00:12:54.8390929Z parameters are updated locally, each rank will broadcast its parameters to 2024-12-18T00:12:54.8391112Z all other peers to keep all model replicas in the same state. 2024-12-18T00:12:54.8391318Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2024-12-18T00:12:54.8391574Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2024-12-18T00:12:54.8391684Z memory consumption. 2024-12-18T00:12:54.8391761Z 2024-12-18T00:12:54.8392018Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2024-12-18T00:12:54.8392255Z of parameters at each rank. Each parameter belongs to a single rank and is 2024-12-18T00:12:54.8392491Z not divided among ranks. The partition is arbitrary and might not match the 2024-12-18T00:12:54.8392635Z the parameter registration or usage order. 2024-12-18T00:12:54.8392713Z 2024-12-18T00:12:54.8392811Z Arguments: 2024-12-18T00:12:54.8393004Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2024-12-18T00:12:54.8393194Z or :class:`dict` s giving all parameters, which will be sharded 2024-12-18T00:12:54.8393301Z across ranks. 2024-12-18T00:12:54.8393381Z 2024-12-18T00:12:54.8393484Z Keyword Args: 2024-12-18T00:12:54.8393701Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2024-12-18T00:12:54.8393787Z optimizer. 2024-12-18T00:12:54.8394007Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2024-12-18T00:12:54.8394203Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2024-12-18T00:12:54.8394394Z :meth:`torch.distributed.init_process_group`). 2024-12-18T00:12:54.8394619Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2024-12-18T00:12:54.8394844Z packed into buckets to speed up communication, and ``param.data`` 2024-12-18T00:12:54.8395043Z fields point to bucket views at different offsets; if ``False``, 2024-12-18T00:12:54.8395361Z each individual parameter is communicated separately, and each 2024-12-18T00:12:54.8395532Z ``params.data`` stays intact (default: ``False``). 2024-12-18T00:12:54.8395726Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2024-12-18T00:12:54.8395938Z overlapped with :class:`DistributedDataParallel` 's gradient 2024-12-18T00:12:54.8396153Z synchronization; this requires (1) either a functional optimizer 2024-12-18T00:12:54.8396351Z for the ``optimizer_class`` argument or one with a functional 2024-12-18T00:12:54.8396532Z equivalent and (2) registering a DDP communication hook 2024-12-18T00:12:54.8396753Z constructed from one of the functions in ``ddp_zero_hook.py``; 2024-12-18T00:12:54.8396939Z parameters are packed into buckets matching those in 2024-12-18T00:12:54.8397101Z :class:`DistributedDataParallel`, meaning that the 2024-12-18T00:12:54.8397269Z ``parameters_as_bucket_view`` argument is ignored. 2024-12-18T00:12:54.8397457Z If ``False``, :meth:`step` runs disjointly after the backward pass 2024-12-18T00:12:54.8397565Z (per normal). 2024-12-18T00:12:54.8397663Z (default: ``False``) 2024-12-18T00:12:54.8397873Z **defaults: any trailing arguments, which are forwarded to the local 2024-12-18T00:12:54.8397973Z optimizer. 2024-12-18T00:12:54.8398055Z 2024-12-18T00:12:54.8398160Z Example:: 2024-12-18T00:12:54.8398242Z 2024-12-18T00:12:54.8398340Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8398451Z >>> import torch.nn as nn 2024-12-18T00:12:54.8398654Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2024-12-18T00:12:54.8398867Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2024-12-18T00:12:54.8399093Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2024-12-18T00:12:54.8399226Z >>> ddp = DDP(model, device_ids=[rank]) 2024-12-18T00:12:54.8399347Z >>> opt = ZeroRedundancyOptimizer( 2024-12-18T00:12:54.8399450Z >>> ddp.parameters(), 2024-12-18T00:12:54.8399585Z >>> optimizer_class=torch.optim.Adam, 2024-12-18T00:12:54.8399675Z >>> lr=0.01 2024-12-18T00:12:54.8399770Z >>> ) 2024-12-18T00:12:54.8399878Z >>> ddp(inputs).sum().backward() 2024-12-18T00:12:54.8399979Z >>> opt.step() 2024-12-18T00:12:54.8400060Z 2024-12-18T00:12:54.8400148Z .. warning:: 2024-12-18T00:12:54.8400368Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2024-12-18T00:12:54.8400515Z passed-in parameters are the same dense type. 2024-12-18T00:12:54.8400609Z 2024-12-18T00:12:54.8400704Z .. warning:: 2024-12-18T00:12:54.8400913Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2024-12-18T00:12:54.8401119Z the way that overlapping :class:`DistributedDataParallel` with 2024-12-18T00:12:54.8401355Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2024-12-18T00:12:54.8401691Z two or three training iterations do not perform parameter updates in 2024-12-18T00:12:54.8401884Z the optimizer step, depending on if ``static_graph=False`` or 2024-12-18T00:12:54.8402078Z ``static_graph=True``, respectively. This is because it needs 2024-12-18T00:12:54.8402264Z information about the gradient bucketing strategy used by 2024-12-18T00:12:54.8402481Z :class:`DistributedDataParallel`, which is not finalized until the 2024-12-18T00:12:54.8402725Z second forward pass if ``static_graph=False`` or until the third 2024-12-18T00:12:54.8402933Z forward pass if ``static_graph=True``. To adjust for this, one option 2024-12-18T00:12:54.8403057Z is to prepend dummy inputs. 2024-12-18T00:12:54.8403139Z 2024-12-18T00:12:54.8403411Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2024-12-18T00:12:54.8403544Z 2024-12-18T00:12:54.8403677Z .. _ZeRO: https://arxiv.org/abs/1910.02054 2024-12-18T00:12:54.8403770Z 2024-12-18T00:12:54.8403848Z 2024-12-18T00:12:54.8404105Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8404186Z 2024-12-18T00:12:54.8404285Z warnings.warn(msg) 2024-12-18T00:12:54.8404376Z 2024-12-18T00:12:54.8404586Z --- Parse Warning: 66 / 105 --- 2024-12-18T00:12:54.8405558Z /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. 2024-12-18T00:12:54.8405861Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8405957Z 2024-12-18T00:12:54.8406182Z Custom reducer class that can be used to specify a custom operation that 2024-12-18T00:12:54.8406359Z reduces losses of multiple microbatches into one value. 2024-12-18T00:12:54.8406451Z 2024-12-18T00:12:54.8406544Z Example: 2024-12-18T00:12:54.8406654Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8406765Z >>> sum_reducer = _CustomReducer( 2024-12-18T00:12:54.8406866Z >>> torch.tensor(0.0), 2024-12-18T00:12:54.8406975Z >>> lambda a, b: a + b 2024-12-18T00:12:54.8407059Z >>> ) 2024-12-18T00:12:54.8407153Z 2024-12-18T00:12:54.8407400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8407495Z 2024-12-18T00:12:54.8407590Z warnings.warn(msg) 2024-12-18T00:12:54.8407669Z 2024-12-18T00:12:54.8407867Z --- Parse Warning: 67 / 105 --- 2024-12-18T00:12:54.8408763Z /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. 2024-12-18T00:12:54.8409037Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8409118Z 2024-12-18T00:12:54.8409367Z A decorator for a function indicating that the return value of the function 2024-12-18T00:12:54.8409572Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2024-12-18T00:12:54.8409812Z function can run asynchronously on the RPC callee. More specifically, the 2024-12-18T00:12:54.8410057Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2024-12-18T00:12:54.8410292Z function and installs subsequent processing steps as a callback to that 2024-12-18T00:12:54.8410537Z :class:`~torch.futures.Future`. The installed callback will read the value 2024-12-18T00:12:54.8410737Z from the :class:`~torch.futures.Future` when completed and send the 2024-12-18T00:12:54.8410929Z value back as the RPC response. That also means the returned 2024-12-18T00:12:54.8411163Z :class:`~torch.futures.Future` only exists on the callee side and is never 2024-12-18T00:12:54.8411385Z sent through RPC. This decorator is useful when the wrapped function's 2024-12-18T00:12:54.8411597Z (``fn``) execution needs to pause and resume due to, e.g., containing 2024-12-18T00:12:54.8411820Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2024-12-18T00:12:54.8411914Z 2024-12-18T00:12:54.8412125Z .. note:: To enable asynchronous execution, applications must pass the 2024-12-18T00:12:54.8412393Z function object returned by this decorator to RPC APIs. If RPC detected 2024-12-18T00:12:54.8412614Z attributes installed by this decorator, it knows that this function 2024-12-18T00:12:54.8412799Z returns a ``Future`` object and will handle that accordingly. 2024-12-18T00:12:54.8413022Z However, this does not mean this decorator has to be outmost one when 2024-12-18T00:12:54.8413274Z defining a function. For example, when combined with ``@staticmethod`` 2024-12-18T00:12:54.8413518Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2024-12-18T00:12:54.8413740Z inner decorator to allow the target function be recognized as a static 2024-12-18T00:12:54.8413979Z or class function. This target function can still execute asynchronously 2024-12-18T00:12:54.8414207Z because, when accessed, the static or class method preserves attributes 2024-12-18T00:12:54.8414363Z installed by ``@rpc.functions.async_execution``. 2024-12-18T00:12:54.8414459Z 2024-12-18T00:12:54.8414543Z 2024-12-18T00:12:54.8414643Z Example:: 2024-12-18T00:12:54.8414871Z The returned :class:`~torch.futures.Future` object can come from 2024-12-18T00:12:54.8415020Z :meth:`~torch.distributed.rpc.rpc_async`, 2024-12-18T00:12:54.8415241Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2024-12-18T00:12:54.8415420Z constructor. The example below shows directly using the 2024-12-18T00:12:54.8415562Z :class:`~torch.futures.Future` returned by 2024-12-18T00:12:54.8415686Z :meth:`~torch.futures.Future.then`. 2024-12-18T00:12:54.8415780Z 2024-12-18T00:12:54.8415900Z >>> from torch.distributed import rpc 2024-12-18T00:12:54.8415987Z >>> 2024-12-18T00:12:54.8416114Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:54.8416199Z >>> 2024-12-18T00:12:54.8416303Z >>> # On all workers 2024-12-18T00:12:54.8416420Z >>> @rpc.functions.async_execution 2024-12-18T00:12:54.8416547Z >>> def async_add_chained(to, x, y, z): 2024-12-18T00:12:54.8416740Z >>> # This function runs on "worker1" and returns immediately when 2024-12-18T00:12:54.8416930Z >>> # the callback is installed through the `then(cb)` API. In the 2024-12-18T00:12:54.8417121Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2024-12-18T00:12:54.8417285Z >>> # When the return value of that `rpc_async` arrives at 2024-12-18T00:12:54.8417480Z >>> # "worker1", "worker1" will run the lambda function accordingly 2024-12-18T00:12:54.8417665Z >>> # and set the value for the previously returned `Future`, which 2024-12-18T00:12:54.8417853Z >>> # will then trigger RPC to send the result back to "worker0". 2024-12-18T00:12:54.8418017Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:54.8418131Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:54.8418232Z >>> ) 2024-12-18T00:12:54.8418312Z >>> 2024-12-18T00:12:54.8418414Z >>> # On worker0 2024-12-18T00:12:54.8418509Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8418609Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:54.8418711Z >>> "worker1", 2024-12-18T00:12:54.8418810Z >>> async_add_chained, 2024-12-18T00:12:54.8418941Z >>> args=("worker2", torch.ones(2), 1, 1) 2024-12-18T00:12:54.8419028Z >>> ) 2024-12-18T00:12:54.8419159Z >>> print(ret) # prints tensor([3., 3.]) 2024-12-18T00:12:54.8419239Z 2024-12-18T00:12:54.8419462Z When combined with TorchScript decorators, this decorator must be the 2024-12-18T00:12:54.8419560Z outmost one. 2024-12-18T00:12:54.8419639Z 2024-12-18T00:12:54.8419757Z >>> from torch import Tensor 2024-12-18T00:12:54.8419875Z >>> from torch.futures import Future 2024-12-18T00:12:54.8419993Z >>> from torch.distributed import rpc 2024-12-18T00:12:54.8420113Z >>> 2024-12-18T00:12:54.8420225Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:54.8420322Z >>> 2024-12-18T00:12:54.8420415Z >>> # On all workers 2024-12-18T00:12:54.8420515Z >>> @torch.jit.script 2024-12-18T00:12:54.8420670Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2024-12-18T00:12:54.8420761Z >>> return x + y 2024-12-18T00:12:54.8420882Z >>> 2024-12-18T00:12:54.8421022Z >>> @rpc.functions.async_execution 2024-12-18T00:12:54.8421135Z >>> @torch.jit.script 2024-12-18T00:12:54.8421321Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2024-12-18T00:12:54.8421460Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2024-12-18T00:12:54.8421551Z >>> 2024-12-18T00:12:54.8421639Z >>> # On worker0 2024-12-18T00:12:54.8421748Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:54.8421834Z >>> "worker1", 2024-12-18T00:12:54.8421930Z >>> async_add, 2024-12-18T00:12:54.8422059Z >>> args=("worker2", torch.ones(2), 1) 2024-12-18T00:12:54.8422145Z >>> ) 2024-12-18T00:12:54.8422302Z >>> print(ret) # prints tensor([2., 2.]) 2024-12-18T00:12:54.8422382Z 2024-12-18T00:12:54.8422612Z When combined with static or class method, this decorator must be the 2024-12-18T00:12:54.8422697Z inner one. 2024-12-18T00:12:54.8422778Z 2024-12-18T00:12:54.8422912Z >>> from torch.distributed import rpc 2024-12-18T00:12:54.8422993Z >>> 2024-12-18T00:12:54.8423122Z >>> # omitting setup and shutdown RPC 2024-12-18T00:12:54.8423203Z >>> 2024-12-18T00:12:54.8423296Z >>> # On all workers 2024-12-18T00:12:54.8423422Z >>> class AsyncExecutionClass: 2024-12-18T00:12:54.8423503Z >>> 2024-12-18T00:12:54.8423610Z >>> @staticmethod 2024-12-18T00:12:54.8423729Z >>> @rpc.functions.async_execution 2024-12-18T00:12:54.8423847Z >>> def static_async_add(to, x, y, z): 2024-12-18T00:12:54.8424031Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:54.8424144Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:54.8424241Z >>> ) 2024-12-18T00:12:54.8424326Z >>> 2024-12-18T00:12:54.8424430Z >>> @classmethod 2024-12-18T00:12:54.8424548Z >>> @rpc.functions.async_execution 2024-12-18T00:12:54.8424672Z >>> def class_async_add(cls, to, x, y, z): 2024-12-18T00:12:54.8424807Z >>> ret_fut = torch.futures.Future() 2024-12-18T00:12:54.8424956Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:54.8425118Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2024-12-18T00:12:54.8425202Z >>> ) 2024-12-18T00:12:54.8425296Z >>> return ret_fut 2024-12-18T00:12:54.8425391Z >>> 2024-12-18T00:12:54.8425507Z >>> @rpc.functions.async_execution 2024-12-18T00:12:54.8425645Z >>> def bound_async_add(self, to, x, y, z): 2024-12-18T00:12:54.8425813Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2024-12-18T00:12:54.8425938Z >>> lambda fut: fut.wait() + z 2024-12-18T00:12:54.8426026Z >>> ) 2024-12-18T00:12:54.8426107Z >>> 2024-12-18T00:12:54.8426206Z >>> # On worker0 2024-12-18T00:12:54.8426310Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:54.8426411Z >>> "worker1", 2024-12-18T00:12:54.8426545Z >>> AsyncExecutionClass.static_async_add, 2024-12-18T00:12:54.8426659Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:54.8426754Z >>> ) 2024-12-18T00:12:54.8426870Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:54.8426966Z >>> 2024-12-18T00:12:54.8427064Z >>> ret = rpc.rpc_sync( 2024-12-18T00:12:54.8427164Z >>> "worker1", 2024-12-18T00:12:54.8427323Z >>> AsyncExecutionClass.class_async_add, 2024-12-18T00:12:54.8427442Z >>> args=("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:54.8427536Z >>> ) 2024-12-18T00:12:54.8427654Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:54.8427744Z 2024-12-18T00:12:54.8427903Z This decorator also works with RRef helpers, i.e., . 2024-12-18T00:12:54.8428044Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2024-12-18T00:12:54.8428270Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2024-12-18T00:12:54.8428407Z :meth:`torch.distributed.rpc.RRef.remote`. 2024-12-18T00:12:54.8428504Z 2024-12-18T00:12:54.8428625Z >>> from torch.distributed import rpc 2024-12-18T00:12:54.8428707Z >>> 2024-12-18T00:12:54.8428853Z >>> # reuse the AsyncExecutionClass class above 2024-12-18T00:12:54.8429003Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:54.8429220Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2024-12-18T00:12:54.8429340Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:54.8429434Z >>> 2024-12-18T00:12:54.8429612Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:54.8429844Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2024-12-18T00:12:54.8429974Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:54.8430061Z >>> 2024-12-18T00:12:54.8430221Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2024-12-18T00:12:54.8430453Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2024-12-18T00:12:54.8430577Z >>> print(ret) # prints tensor([4., 4.]) 2024-12-18T00:12:54.8430659Z 2024-12-18T00:12:54.8430911Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8431004Z 2024-12-18T00:12:54.8431101Z warnings.warn(msg) 2024-12-18T00:12:54.8431192Z 2024-12-18T00:12:54.8431394Z --- Parse Warning: 68 / 105 --- 2024-12-18T00:12:54.8432461Z /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. 2024-12-18T00:12:54.8432732Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8432816Z 2024-12-18T00:12:54.8433028Z Set device mapping between each RPC caller and callee pair. This 2024-12-18T00:12:54.8433209Z function can be called multiple times to incrementally add 2024-12-18T00:12:54.8433337Z device placement configurations. 2024-12-18T00:12:54.8433419Z 2024-12-18T00:12:54.8433505Z Args: 2024-12-18T00:12:54.8433612Z to (str): Callee name. 2024-12-18T00:12:54.8433811Z device_map (Dict of int, str, or torch.device): Device placement 2024-12-18T00:12:54.8434004Z mappings from this worker to the callee. This map must be 2024-12-18T00:12:54.8434095Z invertible. 2024-12-18T00:12:54.8434186Z 2024-12-18T00:12:54.8434272Z Example: 2024-12-18T00:12:54.8434388Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8434488Z >>> # both workers 2024-12-18T00:12:54.8434580Z >>> def add(x, y): 2024-12-18T00:12:54.8434728Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2024-12-18T00:12:54.8434832Z >>> return x + y, (x + y).to(2) 2024-12-18T00:12:54.8434916Z >>> 2024-12-18T00:12:54.8435015Z >>> # on worker 0 2024-12-18T00:12:54.8435152Z >>> options = TensorPipeRpcBackendOptions( 2024-12-18T00:12:54.8435264Z >>> num_worker_threads=8, 2024-12-18T00:12:54.8435376Z >>> device_maps={"worker1": {0: 1}} 2024-12-18T00:12:54.8435532Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2024-12-18T00:12:54.8435646Z >>> ) 2024-12-18T00:12:54.8435778Z >>> options.set_device_map("worker1", {1: 2}) 2024-12-18T00:12:54.8435921Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2024-12-18T00:12:54.8436009Z >>> 2024-12-18T00:12:54.8436121Z >>> rpc.init_rpc( 2024-12-18T00:12:54.8436215Z >>> "worker0", 2024-12-18T00:12:54.8436303Z >>> rank=0, 2024-12-18T00:12:54.8436413Z >>> world_size=2, 2024-12-18T00:12:54.8436622Z >>> backend=rpc.BackendType.TENSORPIPE, 2024-12-18T00:12:54.8436750Z >>> rpc_backend_options=options 2024-12-18T00:12:54.8436836Z >>> ) 2024-12-18T00:12:54.8436922Z >>> 2024-12-18T00:12:54.8437033Z >>> x = torch.ones(2) 2024-12-18T00:12:54.8437196Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2024-12-18T00:12:54.8437397Z >>> # The first argument will be moved to cuda:1 on worker1. When 2024-12-18T00:12:54.8437585Z >>> # sending the return value back, it will follow the invert of 2024-12-18T00:12:54.8437776Z >>> # the device map, and hence will be moved back to cuda:0 and 2024-12-18T00:12:54.8437875Z >>> # cuda:1 on worker0 2024-12-18T00:12:54.8438050Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2024-12-18T00:12:54.8438210Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2024-12-18T00:12:54.8438296Z 2024-12-18T00:12:54.8438567Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8438653Z 2024-12-18T00:12:54.8438766Z warnings.warn(msg) 2024-12-18T00:12:54.8438856Z 2024-12-18T00:12:54.8439053Z --- Parse Warning: 69 / 105 --- 2024-12-18T00:12:54.8440041Z /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=32. 2024-12-18T00:12:54.8440307Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8440401Z 2024-12-18T00:12:54.8440668Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2024-12-18T00:12:54.8440958Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2024-12-18T00:12:54.8441223Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2024-12-18T00:12:54.8441386Z :class:`DTensor` according to the ``out_placements``. 2024-12-18T00:12:54.8441557Z 2024-12-18T00:12:54.8441646Z Args: 2024-12-18T00:12:54.8441866Z func (Callable): the function to be applied on each local shard of 2024-12-18T00:12:54.8441966Z :class:`DTensor` s. 2024-12-18T00:12:54.8442194Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2024-12-18T00:12:54.8442461Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2024-12-18T00:12:54.8442704Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2024-12-18T00:12:54.8442961Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2024-12-18T00:12:54.8443206Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2024-12-18T00:12:54.8443345Z mapping to the flattened ``output``. 2024-12-18T00:12:54.8443557Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2024-12-18T00:12:54.8443842Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2024-12-18T00:12:54.8443938Z should be `None`. 2024-12-18T00:12:54.8444170Z Note that the only exception is when no :class:`DTensor` argument is passed 2024-12-18T00:12:54.8444400Z in. In this case, even if `out_placements` is not `None`, the result function 2024-12-18T00:12:54.8444654Z should ignore the desired placements because the function is not running with 2024-12-18T00:12:54.8444800Z :class:`DTensor` s. 2024-12-18T00:12:54.8444970Z in_placements (Tuple[`PlacementType`, ...], optional): 2024-12-18T00:12:54.8445258Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2024-12-18T00:12:54.8445516Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2024-12-18T00:12:54.8445767Z placements of each :class:`DTensor` argument is the same as the required 2024-12-18T00:12:54.8445961Z placements or not. If the placements are not the same and 2024-12-18T00:12:54.8446201Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2024-12-18T00:12:54.8446455Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2024-12-18T00:12:54.8446710Z the required sharding placements before passing its local tensor to ``func``. 2024-12-18T00:12:54.8446943Z The only exception is when required placements are not ``None`` and the 2024-12-18T00:12:54.8447211Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2024-12-18T00:12:54.8447444Z will be skipped and the argument will be directly passed to ``func``. 2024-12-18T00:12:54.8447669Z If ``in_placements`` is ``None``, no placements examination will be performed. 2024-12-18T00:12:54.8447765Z Default: None 2024-12-18T00:12:54.8447918Z device_mesh (:class:`DeviceMesh`, optional): 2024-12-18T00:12:54.8448133Z the device mesh that all the :class:`DTensor` s are placed on. If not 2024-12-18T00:12:54.8448377Z specified, this will be inferred from the input :class:`DTensor` s' device 2024-12-18T00:12:54.8448613Z mesh. `local_map` requires every :class:`DTensor` s to be placed on the same 2024-12-18T00:12:54.8448734Z device mesh. Default: None. 2024-12-18T00:12:54.8448861Z redistribute_inputs (bool, optional): 2024-12-18T00:12:54.8449113Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2024-12-18T00:12:54.8449377Z their placements are different from the required input placements. If this 2024-12-18T00:12:54.8449603Z value is ``False`` and some :class:`DTensor` input has a different placement, 2024-12-18T00:12:54.8449760Z an exception will be raised. Default: False. 2024-12-18T00:12:54.8449844Z 2024-12-18T00:12:54.8449945Z Returns: 2024-12-18T00:12:54.8450197Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2024-12-18T00:12:54.8450434Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2024-12-18T00:12:54.8450528Z 2024-12-18T00:12:54.8450613Z Raises: 2024-12-18T00:12:54.8450871Z AssertionError: If the input :class:`DTensor` is not placed on the same device 2024-12-18T00:12:54.8451109Z mesh, or if they are placed on a different device mesh than the ``device_mesh`` 2024-12-18T00:12:54.8451212Z argument passed in. 2024-12-18T00:12:54.8451306Z 2024-12-18T00:12:54.8451547Z AssertionError: For any non-DTensor output, we require its corresponding 2024-12-18T00:12:54.8451813Z output placement in ``out_placements`` be None. An AssertionError will be raised 2024-12-18T00:12:54.8451920Z if this is not the case. 2024-12-18T00:12:54.8452016Z 2024-12-18T00:12:54.8452277Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2024-12-18T00:12:54.8452432Z a redistribution according to ``in_placements``. 2024-12-18T00:12:54.8452527Z 2024-12-18T00:12:54.8452615Z Example: 2024-12-18T00:12:54.8452744Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8452883Z >>> def mm_allreduce_forward(device_mesh, W, X): 2024-12-18T00:12:54.8453043Z >>> partial_sum_tensor = torch.mm(W, X) 2024-12-18T00:12:54.8453295Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2024-12-18T00:12:54.8453403Z >>> return reduced_tensor 2024-12-18T00:12:54.8453500Z >>> 2024-12-18T00:12:54.8453629Z >>> W = torch.randn(12, 8, requires_grad=False) 2024-12-18T00:12:54.8453770Z >>> X = torch.randn(8, 16, requires_grad=False) 2024-12-18T00:12:54.8453922Z >>> Y = torch.mm(W, X) 2024-12-18T00:12:54.8454113Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2024-12-18T00:12:54.8454306Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2024-12-18T00:12:54.8454391Z >>> 2024-12-18T00:12:54.8454676Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2024-12-18T00:12:54.8454802Z >>> local_mm_allreduce_forward = local_map( 2024-12-18T00:12:54.8454922Z >>> mm_allreduce_forward, 2024-12-18T00:12:54.8455037Z >>> out_placements=[Replicate()], 2024-12-18T00:12:54.8455158Z >>> in_placements=[col_wise, row_wise], 2024-12-18T00:12:54.8455303Z >>> device_mesh=device_mesh, 2024-12-18T00:12:54.8455396Z >>> ) 2024-12-18T00:12:54.8455494Z >>> 2024-12-18T00:12:54.8455757Z >>> W_dt = distribute_tensor(W, device_mesh, (col_wise)) # col-wisely sharded W tensor 2024-12-18T00:12:54.8456010Z >>> X_dt = distribute_tensor(X, device_mesh, (row_wise)) # row-wisely sharded X tensor 2024-12-18T00:12:54.8456346Z >>> Y_dt = local_mm_allreduce_forward(device_mesh, W_dt, X_dt) # apply local_mm_allreduce_forward to DTensors 2024-12-18T00:12:54.8456430Z 2024-12-18T00:12:54.8456641Z .. note:: This API is currently experimental and subject to change 2024-12-18T00:12:54.8456722Z 2024-12-18T00:12:54.8456984Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8457068Z 2024-12-18T00:12:54.8457165Z warnings.warn(msg) 2024-12-18T00:12:54.8457266Z 2024-12-18T00:12:54.8457473Z --- Parse Warning: 70 / 105 --- 2024-12-18T00:12:54.8458742Z /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. 2024-12-18T00:12:54.8459008Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8459104Z 2024-12-18T00:12:54.8459384Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2024-12-18T00:12:54.8459623Z strategies for an operator when the tensor inputs and outputs are DTensor. 2024-12-18T00:12:54.8459887Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2024-12-18T00:12:54.8460129Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2024-12-18T00:12:54.8460415Z when users would like to overwrite default sharding strategies of existing operators. 2024-12-18T00:12:54.8460498Z 2024-12-18T00:12:54.8460595Z Args: 2024-12-18T00:12:54.8460727Z op (Union[OpOverload, List[OpOverload]]): 2024-12-18T00:12:54.8460920Z An op or a list of ops to register the customized sharding function. 2024-12-18T00:12:54.8461018Z 2024-12-18T00:12:54.8461105Z Returns: 2024-12-18T00:12:54.8461378Z A function decorator which can be used to wrap a function that defines the sharding 2024-12-18T00:12:54.8461649Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2024-12-18T00:12:54.8461932Z registered to DTensor and will override the default sharding strategy if DTensor has 2024-12-18T00:12:54.8462232Z already implemented the operator. The customized sharding function takes the same inputs 2024-12-18T00:12:54.8462538Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2024-12-18T00:12:54.8462826Z replaced by a tensor-like object that DTensor uses internally). The function should 2024-12-18T00:12:54.8463095Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2024-12-18T00:12:54.8463230Z corresponding intput placements. 2024-12-18T00:12:54.8463352Z 2024-12-18T00:12:54.8463485Z Example: 2024-12-18T00:12:54.8463604Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8463739Z >>> @register_sharding(aten._softmax.default) 2024-12-18T00:12:54.8463910Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2024-12-18T00:12:54.8464055Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2024-12-18T00:12:54.8464179Z >>> acceptable_shardings = [] 2024-12-18T00:12:54.8464264Z >>> 2024-12-18T00:12:54.8464453Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2024-12-18T00:12:54.8464602Z >>> acceptable_shardings.append(all_replicate) 2024-12-18T00:12:54.8464686Z >>> 2024-12-18T00:12:54.8464855Z >>> for sharding_dim in range(x.ndim): 2024-12-18T00:12:54.8464975Z >>> if sharding_dim != softmax_dim: 2024-12-18T00:12:54.8465087Z >>> all_sharded = ( 2024-12-18T00:12:54.8465201Z >>> [Shard(sharding_dim)], 2024-12-18T00:12:54.8465330Z >>> [Shard(sharding_dim), None, None], 2024-12-18T00:12:54.8465436Z >>> ) 2024-12-18T00:12:54.8465579Z >>> acceptable_shardings.append(all_sharded) 2024-12-18T00:12:54.8465675Z >>> 2024-12-18T00:12:54.8465790Z >>> return acceptable_shardings 2024-12-18T00:12:54.8465885Z 2024-12-18T00:12:54.8466085Z .. note:: This API is currently experimental and subject to change 2024-12-18T00:12:54.8466167Z 2024-12-18T00:12:54.8466434Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8466515Z 2024-12-18T00:12:54.8466625Z warnings.warn(msg) 2024-12-18T00:12:54.8466710Z 2024-12-18T00:12:54.8466918Z --- Parse Warning: 71 / 105 --- 2024-12-18T00:12:54.8467929Z /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. 2024-12-18T00:12:54.8468194Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8468290Z 2024-12-18T00:12:54.8468669Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2024-12-18T00:12:54.8469002Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2024-12-18T00:12:54.8469091Z 2024-12-18T00:12:54.8469184Z Keyword Args: 2024-12-18T00:12:54.8469401Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-12-18T00:12:54.8469728Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2024-12-18T00:12:54.8470095Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2024-12-18T00:12:54.8470222Z as a placeholder. default: None. 2024-12-18T00:12:54.8470469Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2024-12-18T00:12:54.8470840Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-12-18T00:12:54.8471240Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2024-12-18T00:12:54.8471376Z input_kwarg_layouts (Dict[str, Placement]): 2024-12-18T00:12:54.8471780Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2024-12-18T00:12:54.8471888Z default: None 2024-12-18T00:12:54.8472055Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2024-12-18T00:12:54.8472433Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2024-12-18T00:12:54.8472648Z have the desired DTensor layouts. default: None. 2024-12-18T00:12:54.8472782Z use_local_output (bool, optional): 2024-12-18T00:12:54.8473136Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2024-12-18T00:12:54.8473227Z Returns: 2024-12-18T00:12:54.8473556Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2024-12-18T00:12:54.8473642Z 2024-12-18T00:12:54.8473749Z Example:: 2024-12-18T00:12:54.8473860Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:54.8474186Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2024-12-18T00:12:54.8474405Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-12-18T00:12:54.8474491Z >>> ... 2024-12-18T00:12:54.8474813Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-12-18T00:12:54.8474946Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-12-18T00:12:54.8475048Z >>> 2024-12-18T00:12:54.8475381Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2024-12-18T00:12:54.8475546Z >>> # and then redistributed to Replicated DTensor. 2024-12-18T00:12:54.8475648Z >>> parallelize_module( 2024-12-18T00:12:54.8475785Z >>> block, # this can be a submodule or module 2024-12-18T00:12:54.8475889Z >>> tp_mesh, 2024-12-18T00:12:54.8475997Z >>> parallelize_plan={ 2024-12-18T00:12:54.8476132Z >>> "attn": PrepareModuleInput( 2024-12-18T00:12:54.8476273Z >>> input_layouts=(Shard(0), None, None, ...), 2024-12-18T00:12:54.8476440Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2024-12-18T00:12:54.8476544Z >>> ), 2024-12-18T00:12:54.8476629Z >>> } 2024-12-18T00:12:54.8476733Z >>> ) 2024-12-18T00:12:54.8476816Z 2024-12-18T00:12:54.8477079Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8477161Z 2024-12-18T00:12:54.8477259Z warnings.warn(msg) 2024-12-18T00:12:54.8477356Z 2024-12-18T00:12:54.8477550Z --- Parse Warning: 72 / 105 --- 2024-12-18T00:12:54.8478564Z /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. 2024-12-18T00:12:54.8478828Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8478927Z 2024-12-18T00:12:54.8479312Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2024-12-18T00:12:54.8479643Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2024-12-18T00:12:54.8479737Z 2024-12-18T00:12:54.8479828Z Keyword Args: 2024-12-18T00:12:54.8480007Z output_layouts (Union[Placement, Tuple[Placement]]): 2024-12-18T00:12:54.8480340Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2024-12-18T00:12:54.8480727Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2024-12-18T00:12:54.8480902Z ``None`` need to be specified as a placeholder. 2024-12-18T00:12:54.8481101Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2024-12-18T00:12:54.8481567Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2024-12-18T00:12:54.8481690Z have the desired DTensor layouts. 2024-12-18T00:12:54.8481820Z use_local_output (bool, optional): 2024-12-18T00:12:54.8482230Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2024-12-18T00:12:54.8482333Z Returns: 2024-12-18T00:12:54.8482627Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2024-12-18T00:12:54.8482710Z 2024-12-18T00:12:54.8482814Z Example:: 2024-12-18T00:12:54.8482922Z >>> # xdoctest: +SKIP(failing) 2024-12-18T00:12:54.8483251Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2024-12-18T00:12:54.8483447Z >>> from torch.distributed.device_mesh import init_device_mesh 2024-12-18T00:12:54.8483545Z >>> ... 2024-12-18T00:12:54.8483878Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2024-12-18T00:12:54.8486539Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2024-12-18T00:12:54.8486640Z >>> 2024-12-18T00:12:54.8487047Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2024-12-18T00:12:54.8487199Z >>> # and then redistributed to Sharded DTensor. 2024-12-18T00:12:54.8487304Z >>> parallelize_module( 2024-12-18T00:12:54.8487445Z >>> block, # this can be a submodule or module 2024-12-18T00:12:54.8487549Z >>> tp_mesh, 2024-12-18T00:12:54.8487690Z >>> parallelize_plan = PrepareModuleOutput( 2024-12-18T00:12:54.8487823Z >>> output_layouts=Replicate(), 2024-12-18T00:12:54.8487946Z >>> desired_output_layouts=Shard(0) 2024-12-18T00:12:54.8488046Z >>> ) 2024-12-18T00:12:54.8488133Z >>> ) 2024-12-18T00:12:54.8488221Z 2024-12-18T00:12:54.8488488Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8488604Z 2024-12-18T00:12:54.8488701Z warnings.warn(msg) 2024-12-18T00:12:54.8488798Z 2024-12-18T00:12:54.8489033Z --- Parse Warning: 73 / 105 --- 2024-12-18T00:12:54.8490024Z /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. 2024-12-18T00:12:54.8490289Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8490390Z 2024-12-18T00:12:54.8490620Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2024-12-18T00:12:54.8490870Z distribution where all component are from different parameterizations of 2024-12-18T00:12:54.8491102Z the same distribution type. It is parameterized by a `Categorical` 2024-12-18T00:12:54.8491303Z "selecting distribution" (over `k` component) and a component 2024-12-18T00:12:54.8491528Z distribution, i.e., a `Distribution` with a rightmost batch shape 2024-12-18T00:12:54.8491693Z (equal to `[k]`) which indexes each (batch of) component. 2024-12-18T00:12:54.8491791Z 2024-12-18T00:12:54.8491891Z Examples:: 2024-12-18T00:12:54.8491974Z 2024-12-18T00:12:54.8492108Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8492311Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2024-12-18T00:12:54.8492440Z >>> # weighted normal distributions 2024-12-18T00:12:54.8492561Z >>> mix = D.Categorical(torch.ones(5,)) 2024-12-18T00:12:54.8492721Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2024-12-18T00:12:54.8492843Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:54.8492926Z 2024-12-18T00:12:54.8493139Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2024-12-18T00:12:54.8493272Z >>> # weighted bivariate normal distributions 2024-12-18T00:12:54.8493411Z >>> mix = D.Categorical(torch.ones(5,)) 2024-12-18T00:12:54.8493580Z >>> comp = D.Independent(D.Normal( 2024-12-18T00:12:54.8493744Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2024-12-18T00:12:54.8493883Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:54.8493967Z 2024-12-18T00:12:54.8494165Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2024-12-18T00:12:54.8494370Z >>> # consisting of 5 random weighted bivariate normal distributions 2024-12-18T00:12:54.8494504Z >>> mix = D.Categorical(torch.rand(3,5)) 2024-12-18T00:12:54.8494618Z >>> comp = D.Independent(D.Normal( 2024-12-18T00:12:54.8494756Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2024-12-18T00:12:54.8494892Z >>> gmm = MixtureSameFamily(mix, comp) 2024-12-18T00:12:54.8495005Z 2024-12-18T00:12:54.8495108Z Args: 2024-12-18T00:12:54.8495312Z mixture_distribution: `torch.distributions.Categorical`-like 2024-12-18T00:12:54.8495567Z instance. Manages the probability of selecting component. 2024-12-18T00:12:54.8495752Z The number of categories must match the rightmost batch 2024-12-18T00:12:54.8495942Z dimension of the `component_distribution`. Must have either 2024-12-18T00:12:54.8496100Z scalar `batch_shape` or `batch_shape` matching 2024-12-18T00:12:54.8496238Z `component_distribution.batch_shape[:-1]` 2024-12-18T00:12:54.8496470Z component_distribution: `torch.distributions.Distribution`-like 2024-12-18T00:12:54.8496648Z instance. Right-most batch dimension indexes component. 2024-12-18T00:12:54.8496732Z 2024-12-18T00:12:54.8497001Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8497084Z 2024-12-18T00:12:54.8497199Z warnings.warn(msg) 2024-12-18T00:12:54.8497281Z 2024-12-18T00:12:54.8497478Z --- Parse Warning: 74 / 105 --- 2024-12-18T00:12:54.8498458Z /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. 2024-12-18T00:12:54.8498721Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8498814Z 2024-12-18T00:12:54.8498999Z Creates a RelaxedBernoulli distribution, parametrized by 2024-12-18T00:12:54.8499199Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2024-12-18T00:12:54.8499415Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2024-12-18T00:12:54.8499613Z so the values are in (0, 1), and has reparametrizable samples. 2024-12-18T00:12:54.8499697Z 2024-12-18T00:12:54.8499790Z Example:: 2024-12-18T00:12:54.8499889Z 2024-12-18T00:12:54.8500031Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:54.8500178Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2024-12-18T00:12:54.8500306Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2024-12-18T00:12:54.8500401Z >>> m.sample() 2024-12-18T00:12:54.8500531Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2024-12-18T00:12:54.8500615Z 2024-12-18T00:12:54.8500713Z Args: 2024-12-18T00:12:54.8500858Z temperature (Tensor): relaxation temperature 2024-12-18T00:12:54.8501045Z probs (Number, Tensor): the probability of sampling `1` 2024-12-18T00:12:54.8501205Z logits (Number, Tensor): the log-odds of sampling `1` 2024-12-18T00:12:54.8501288Z 2024-12-18T00:12:54.8501554Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8501636Z 2024-12-18T00:12:54.8501750Z warnings.warn(msg) 2024-12-18T00:12:54.8501839Z 2024-12-18T00:12:54.8502026Z --- Parse Warning: 75 / 105 --- 2024-12-18T00:12:54.8503087Z /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. 2024-12-18T00:12:54.8503378Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8503474Z 2024-12-18T00:12:54.8503689Z Creates a RelaxedOneHotCategorical distribution parametrized by 2024-12-18T00:12:54.8503896Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2024-12-18T00:12:54.8504131Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2024-12-18T00:12:54.8504295Z its samples are on simplex, and are reparametrizable. 2024-12-18T00:12:54.8504389Z 2024-12-18T00:12:54.8504481Z Example:: 2024-12-18T00:12:54.8504582Z 2024-12-18T00:12:54.8504753Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:54.8504926Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2024-12-18T00:12:54.8505114Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2024-12-18T00:12:54.8505208Z >>> m.sample() 2024-12-18T00:12:54.8505343Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2024-12-18T00:12:54.8505427Z 2024-12-18T00:12:54.8505536Z Args: 2024-12-18T00:12:54.8505681Z temperature (Tensor): relaxation temperature 2024-12-18T00:12:54.8505802Z probs (Tensor): event probabilities 2024-12-18T00:12:54.8506005Z logits (Tensor): unnormalized log probability for each event 2024-12-18T00:12:54.8506090Z 2024-12-18T00:12:54.8506353Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8506438Z 2024-12-18T00:12:54.8506548Z warnings.warn(msg) 2024-12-18T00:12:54.8506631Z 2024-12-18T00:12:54.8506823Z --- Parse Warning: 76 / 105 --- 2024-12-18T00:12:54.8507827Z /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=245. 2024-12-18T00:12:54.8508093Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8508300Z Return a new dict with new, potentially nested, key value pair 2024-12-18T00:12:54.8508385Z 2024-12-18T00:12:54.8508492Z >>> purchase = { 2024-12-18T00:12:54.8508588Z ... "name": "Alice", 2024-12-18T00:12:54.8508765Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:54.8508901Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:54.8508988Z ... } 2024-12-18T00:12:54.8509211Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2024-12-18T00:12:54.8509321Z {'credit card': '5555-1234-1234-1234', 2024-12-18T00:12:54.8509419Z 'name': 'Alice', 2024-12-18T00:12:54.8509603Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2024-12-18T00:12:54.8509695Z 2024-12-18T00:12:54.8509961Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8510047Z 2024-12-18T00:12:54.8510161Z warnings.warn(msg) 2024-12-18T00:12:54.8510245Z 2024-12-18T00:12:54.8510430Z --- Parse Warning: 77 / 105 --- 2024-12-18T00:12:54.8511437Z /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=261. 2024-12-18T00:12:54.8511698Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8511864Z Update value in a (potentially) nested dictionary 2024-12-18T00:12:54.8511948Z 2024-12-18T00:12:54.8512053Z inputs: 2024-12-18T00:12:54.8512172Z d - dictionary on which to operate 2024-12-18T00:12:54.8512454Z keys - list or tuple giving the location of the value to be changed in d 2024-12-18T00:12:54.8512593Z func - function to operate on that value 2024-12-18T00:12:54.8512675Z 2024-12-18T00:12:54.8512880Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2024-12-18T00:12:54.8513114Z original dictionary with v replaced by func(v), but does not mutate the 2024-12-18T00:12:54.8513228Z original dictionary. 2024-12-18T00:12:54.8513310Z 2024-12-18T00:12:54.8513518Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2024-12-18T00:12:54.8513743Z specified by the keys, with the innermost value set to func(default). 2024-12-18T00:12:54.8513825Z 2024-12-18T00:12:54.8513967Z >>> inc = lambda x: x + 1 2024-12-18T00:12:54.8514077Z >>> update_in({"a": 0}, ["a"], inc) 2024-12-18T00:12:54.8514195Z {'a': 1} 2024-12-18T00:12:54.8514290Z 2024-12-18T00:12:54.8514389Z >>> transaction = { 2024-12-18T00:12:54.8514503Z ... "name": "Alice", 2024-12-18T00:12:54.8514693Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:54.8514811Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:54.8514908Z ... } 2024-12-18T00:12:54.8515122Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2024-12-18T00:12:54.8515244Z {'credit card': '5555-1234-1234-1234', 2024-12-18T00:12:54.8515336Z 'name': 'Alice', 2024-12-18T00:12:54.8515513Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2024-12-18T00:12:54.8515596Z 2024-12-18T00:12:54.8515719Z >>> # updating a value when k0 is not in d 2024-12-18T00:12:54.8515865Z >>> update_in({}, [1, 2, 3], str, default="bar") 2024-12-18T00:12:54.8515960Z {1: {2: {3: 'bar'}}} 2024-12-18T00:12:54.8516092Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2024-12-18T00:12:54.8516189Z {1: 'foo', 2: {3: {4: 1}}} 2024-12-18T00:12:54.8516276Z 2024-12-18T00:12:54.8516540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8516623Z 2024-12-18T00:12:54.8516733Z warnings.warn(msg) 2024-12-18T00:12:54.8516814Z 2024-12-18T00:12:54.8517017Z --- Parse Warning: 78 / 105 --- 2024-12-18T00:12:54.8517998Z /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=320. 2024-12-18T00:12:54.8518261Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8518445Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2024-12-18T00:12:54.8518530Z 2024-12-18T00:12:54.8518726Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2024-12-18T00:12:54.8518931Z ``no_default`` is specified, then it raises KeyError or IndexError. 2024-12-18T00:12:54.8519026Z 2024-12-18T00:12:54.8519231Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2024-12-18T00:12:54.8519365Z structures such as dictionaries and lists. 2024-12-18T00:12:54.8519460Z 2024-12-18T00:12:54.8519558Z >>> transaction = { 2024-12-18T00:12:54.8519665Z ... "name": "Alice", 2024-12-18T00:12:54.8519855Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2024-12-18T00:12:54.8519984Z ... "credit card": "5555-1234-1234-1234", 2024-12-18T00:12:54.8520070Z ... } 2024-12-18T00:12:54.8520209Z >>> get_in(["purchase", "items", 0], transaction) 2024-12-18T00:12:54.8520316Z 'Apple' 2024-12-18T00:12:54.8520425Z >>> get_in(["name"], transaction) 2024-12-18T00:12:54.8520524Z 'Alice' 2024-12-18T00:12:54.8520654Z >>> get_in(["purchase", "total"], transaction) 2024-12-18T00:12:54.8520861Z >>> get_in(["purchase", "items", "apple"], transaction) 2024-12-18T00:12:54.8521012Z >>> get_in(["purchase", "items", 10], transaction) 2024-12-18T00:12:54.8521150Z >>> get_in(["purchase", "total"], transaction, 0) 2024-12-18T00:12:54.8521248Z 0 2024-12-18T00:12:54.8521361Z >>> get_in(["y"], {}, no_default=True) 2024-12-18T00:12:54.8521600Z Traceback (most recent call last): 2024-12-18T00:12:54.8521691Z ... 2024-12-18T00:12:54.8521785Z KeyError: 'y' 2024-12-18T00:12:54.8521883Z 2024-12-18T00:12:54.8521973Z See Also: 2024-12-18T00:12:54.8522087Z itertoolz.get 2024-12-18T00:12:54.8522188Z operator.getitem 2024-12-18T00:12:54.8522274Z 2024-12-18T00:12:54.8522576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8522691Z 2024-12-18T00:12:54.8522802Z warnings.warn(msg) 2024-12-18T00:12:54.8522889Z 2024-12-18T00:12:54.8523089Z --- Parse Warning: 79 / 105 --- 2024-12-18T00:12:54.8524094Z /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=373. 2024-12-18T00:12:54.8524358Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8524488Z Group a collection by a key function 2024-12-18T00:12:54.8524571Z 2024-12-18T00:12:54.8524750Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2024-12-18T00:12:54.8524873Z >>> groupby(len, names) # doctest: +SKIP 2024-12-18T00:12:54.8525038Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2024-12-18T00:12:54.8525136Z 2024-12-18T00:12:54.8525247Z >>> iseven = lambda x: x % 2 == 0 2024-12-18T00:12:54.8525436Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2024-12-18T00:12:54.8525552Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2024-12-18T00:12:54.8525649Z 2024-12-18T00:12:54.8525793Z Non-callable keys imply grouping on a member. 2024-12-18T00:12:54.8525877Z 2024-12-18T00:12:54.8525980Z >>> groupby( 2024-12-18T00:12:54.8526070Z ... "gender", 2024-12-18T00:12:54.8526167Z ... [ 2024-12-18T00:12:54.8526289Z ... {"name": "Alice", "gender": "F"}, 2024-12-18T00:12:54.8526406Z ... {"name": "Bob", "gender": "M"}, 2024-12-18T00:12:54.8526541Z ... {"name": "Charlie", "gender": "M"}, 2024-12-18T00:12:54.8526626Z ... ], 2024-12-18T00:12:54.8526736Z ... ) # doctest:+SKIP 2024-12-18T00:12:54.8526853Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2024-12-18T00:12:54.8526963Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2024-12-18T00:12:54.8527091Z {'gender': 'M', 'name': 'Charlie'}]} 2024-12-18T00:12:54.8527175Z 2024-12-18T00:12:54.8527332Z Not to be confused with ``itertools.groupby`` 2024-12-18T00:12:54.8527414Z 2024-12-18T00:12:54.8527514Z See Also: 2024-12-18T00:12:54.8527601Z countby 2024-12-18T00:12:54.8527684Z 2024-12-18T00:12:54.8527945Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8528028Z 2024-12-18T00:12:54.8528137Z warnings.warn(msg) 2024-12-18T00:12:54.8528220Z 2024-12-18T00:12:54.8528404Z --- Parse Warning: 80 / 105 --- 2024-12-18T00:12:54.8529301Z /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. 2024-12-18T00:12:54.8529565Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8529757Z Applies Batch Normalization over a N-Dimensional input. 2024-12-18T00:12:54.8529896Z 2024-12-18T00:12:54.8530250Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2024-12-18T00:12:54.8530478Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2024-12-18T00:12:54.8530692Z Internal Covariate Shift `__ . 2024-12-18T00:12:54.8530788Z 2024-12-18T00:12:54.8530882Z .. math:: 2024-12-18T00:12:54.8530977Z 2024-12-18T00:12:54.8531193Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2024-12-18T00:12:54.8531291Z 2024-12-18T00:12:54.8531520Z The mean and standard-deviation are calculated per-dimension over all 2024-12-18T00:12:54.8531780Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2024-12-18T00:12:54.8532134Z are learnable parameter vectors of size `C` (where `C` is the input size). 2024-12-18T00:12:54.8532317Z By default, the elements of :math:`\gamma` are sampled from 2024-12-18T00:12:54.8532532Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2024-12-18T00:12:54.8532794Z The standard-deviation is calculated via the biased estimator, equivalent to 2024-12-18T00:12:54.8532927Z `torch.var(input, unbiased=False)`. 2024-12-18T00:12:54.8533011Z 2024-12-18T00:12:54.8533248Z Also by default, during training this layer keeps running estimates of its 2024-12-18T00:12:54.8533491Z computed mean and variance, which are then used for normalization during 2024-12-18T00:12:54.8533731Z evaluation. The running estimates are kept with a default :attr:`momentum` 2024-12-18T00:12:54.8533836Z of 0.1. 2024-12-18T00:12:54.8533922Z 2024-12-18T00:12:54.8534148Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2024-12-18T00:12:54.8534381Z keep running estimates, and batch statistics are instead used during 2024-12-18T00:12:54.8534491Z evaluation time as well. 2024-12-18T00:12:54.8534588Z 2024-12-18T00:12:54.8534677Z .. note:: 2024-12-18T00:12:54.8534910Z This :attr:`momentum` argument is different from one used in optimizer 2024-12-18T00:12:54.8535133Z classes and the conventional notion of momentum. Mathematically, the 2024-12-18T00:12:54.8535269Z update rule for running statistics here is 2024-12-18T00:12:54.8535545Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2024-12-18T00:12:54.8535749Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2024-12-18T00:12:54.8535862Z new observed value. 2024-12-18T00:12:54.8535948Z 2024-12-18T00:12:54.8536261Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2024-12-18T00:12:54.8536517Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2024-12-18T00:12:54.8536701Z Normalization or Spatio-temporal Batch Normalization. 2024-12-18T00:12:54.8536799Z 2024-12-18T00:12:54.8536949Z Currently :class:`SyncBatchNorm` only supports 2024-12-18T00:12:54.8537246Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2024-12-18T00:12:54.8537461Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2024-12-18T00:12:54.8537681Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2024-12-18T00:12:54.8537782Z Network with DDP. 2024-12-18T00:12:54.8537867Z 2024-12-18T00:12:54.8537968Z Args: 2024-12-18T00:12:54.8538139Z num_features: :math:`C` from an expected input of size 2024-12-18T00:12:54.8538253Z :math:`(N, C, +)` 2024-12-18T00:12:54.8538444Z eps: a value added to the denominator for numerical stability. 2024-12-18T00:12:54.8538562Z Default: ``1e-5`` 2024-12-18T00:12:54.8538809Z momentum: the value used for the running_mean and running_var 2024-12-18T00:12:54.8539019Z computation. Can be set to ``None`` for cumulative moving average 2024-12-18T00:12:54.8539157Z (i.e. simple average). Default: 0.1 2024-12-18T00:12:54.8539362Z affine: a boolean value that when set to ``True``, this module has 2024-12-18T00:12:54.8539531Z learnable affine parameters. Default: ``True`` 2024-12-18T00:12:54.8539747Z track_running_stats: a boolean value that when set to ``True``, this 2024-12-18T00:12:54.8539992Z module tracks the running mean and variance, and when set to ``False``, 2024-12-18T00:12:54.8540260Z this module does not track such statistics, and initializes statistics 2024-12-18T00:12:54.8540462Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2024-12-18T00:12:54.8540734Z When these buffers are ``None``, this module always uses batch statistics. 2024-12-18T00:12:54.8540888Z in both training and eval modes. Default: ``True`` 2024-12-18T00:12:54.8541152Z process_group: synchronization of stats happen within each process group 2024-12-18T00:12:54.8541376Z individually. Default behavior is synchronization across the whole 2024-12-18T00:12:54.8541481Z world 2024-12-18T00:12:54.8541565Z 2024-12-18T00:12:54.8541652Z Shape: 2024-12-18T00:12:54.8541775Z - Input: :math:`(N, C, +)` 2024-12-18T00:12:54.8541923Z - Output: :math:`(N, C, +)` (same shape as input) 2024-12-18T00:12:54.8542019Z 2024-12-18T00:12:54.8542108Z .. note:: 2024-12-18T00:12:54.8542355Z Synchronization of batchnorm statistics occurs only while training, i.e. 2024-12-18T00:12:54.8542569Z synchronization is disabled when ``model.eval()`` is set or if 2024-12-18T00:12:54.8542700Z ``self.training`` is otherwise ``False``. 2024-12-18T00:12:54.8542801Z 2024-12-18T00:12:54.8542893Z Examples:: 2024-12-18T00:12:54.8542989Z 2024-12-18T00:12:54.8543088Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8543204Z >>> # With Learnable Parameters 2024-12-18T00:12:54.8543332Z >>> m = nn.SyncBatchNorm(100) 2024-12-18T00:12:54.8543456Z >>> # creating process group (optional) 2024-12-18T00:12:54.8543611Z >>> # ranks is a list of int identifying rank ids. 2024-12-18T00:12:54.8543713Z >>> ranks = list(range(8)) 2024-12-18T00:12:54.8543822Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-12-18T00:12:54.8543984Z >>> # Note: every rank calls into new_group for every 2024-12-18T00:12:54.8544136Z >>> # process group created, even if that rank is not 2024-12-18T00:12:54.8544250Z >>> # part of the group. 2024-12-18T00:12:54.8544501Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-12-18T00:12:54.8544719Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-12-18T00:12:54.8544841Z >>> # Without Learnable Parameters 2024-12-18T00:12:54.8545049Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2024-12-18T00:12:54.8545188Z >>> input = torch.randn(20, 100, 35, 45, 10) 2024-12-18T00:12:54.8545288Z >>> output = m(input) 2024-12-18T00:12:54.8545386Z 2024-12-18T00:12:54.8545504Z >>> # network is nn.BatchNorm layer 2024-12-18T00:12:54.8545788Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2024-12-18T00:12:54.8545958Z >>> # only single gpu per process is currently supported 2024-12-18T00:12:54.8546176Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2024-12-18T00:12:54.8546301Z >>> sync_bn_network, 2024-12-18T00:12:54.8546484Z >>> device_ids=[args.local_rank], 2024-12-18T00:12:54.8546632Z >>> output_device=args.local_rank) 2024-12-18T00:12:54.8546716Z 2024-12-18T00:12:54.8546973Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8547057Z 2024-12-18T00:12:54.8547158Z warnings.warn(msg) 2024-12-18T00:12:54.8547256Z 2024-12-18T00:12:54.8547463Z --- Parse Warning: 81 / 105 --- 2024-12-18T00:12:54.8548498Z /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. 2024-12-18T00:12:54.8548760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8549109Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2024-12-18T00:12:54.8549202Z 2024-12-18T00:12:54.8549290Z Args: 2024-12-18T00:12:54.8549546Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2024-12-18T00:12:54.8549765Z process_group (optional): process group to scope synchronization, 2024-12-18T00:12:54.8549894Z default is the whole world 2024-12-18T00:12:54.8549978Z 2024-12-18T00:12:54.8550066Z Returns: 2024-12-18T00:12:54.8550327Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2024-12-18T00:12:54.8550539Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2024-12-18T00:12:54.8550759Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2024-12-18T00:12:54.8550848Z instead. 2024-12-18T00:12:54.8550947Z 2024-12-18T00:12:54.8551040Z Example:: 2024-12-18T00:12:54.8551123Z 2024-12-18T00:12:54.8551265Z >>> # Network with nn.BatchNorm layer 2024-12-18T00:12:54.8551409Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.8551544Z >>> module = torch.nn.Sequential( 2024-12-18T00:12:54.8551671Z >>> torch.nn.Linear(20, 100), 2024-12-18T00:12:54.8551808Z >>> torch.nn.BatchNorm1d(100), 2024-12-18T00:12:54.8551905Z >>> ).cuda() 2024-12-18T00:12:54.8552035Z >>> # creating process group (optional) 2024-12-18T00:12:54.8552189Z >>> # ranks is a list of int identifying rank ids. 2024-12-18T00:12:54.8552297Z >>> ranks = list(range(8)) 2024-12-18T00:12:54.8552429Z >>> r1, r2 = ranks[:4], ranks[4:] 2024-12-18T00:12:54.8552579Z >>> # Note: every rank calls into new_group for every 2024-12-18T00:12:54.8552733Z >>> # process group created, even if that rank is not 2024-12-18T00:12:54.8552852Z >>> # part of the group. 2024-12-18T00:12:54.8552975Z >>> # xdoctest: +SKIP("distributed") 2024-12-18T00:12:54.8553233Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2024-12-18T00:12:54.8553437Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2024-12-18T00:12:54.8553743Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2024-12-18T00:12:54.8553823Z 2024-12-18T00:12:54.8553907Z 2024-12-18T00:12:54.8554166Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8554249Z 2024-12-18T00:12:54.8554358Z warnings.warn(msg) 2024-12-18T00:12:54.8554438Z 2024-12-18T00:12:54.8554642Z --- Parse Warning: 82 / 105 --- 2024-12-18T00:12:54.8555529Z /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. 2024-12-18T00:12:54.8555816Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8555912Z 2024-12-18T00:12:54.8556216Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2024-12-18T00:12:54.8556316Z 2024-12-18T00:12:54.8556583Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2024-12-18T00:12:54.8556821Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2024-12-18T00:12:54.8556904Z 2024-12-18T00:12:54.8557240Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2024-12-18T00:12:54.8557500Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2024-12-18T00:12:54.8557699Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2024-12-18T00:12:54.8557799Z 2024-12-18T00:12:54.8557886Z Shape: 2024-12-18T00:12:54.8558294Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2024-12-18T00:12:54.8558544Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2024-12-18T00:12:54.8558761Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2024-12-18T00:12:54.8558900Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2024-12-18T00:12:54.8558981Z 2024-12-18T00:12:54.8559080Z Args: 2024-12-18T00:12:54.8559229Z dim (Union[int, str]): Dimension to be unflattened 2024-12-18T00:12:54.8559586Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2024-12-18T00:12:54.8559670Z 2024-12-18T00:12:54.8559761Z Examples: 2024-12-18T00:12:54.8559887Z >>> input = torch.randn(2, 50) 2024-12-18T00:12:54.8559992Z >>> # With tuple of ints 2024-12-18T00:12:54.8560102Z >>> m = nn.Sequential( 2024-12-18T00:12:54.8560200Z >>> nn.Linear(50, 50), 2024-12-18T00:12:54.8560307Z >>> nn.Unflatten(1, (2, 5, 5)) 2024-12-18T00:12:54.8560404Z >>> ) 2024-12-18T00:12:54.8560502Z >>> output = m(input) 2024-12-18T00:12:54.8560610Z >>> output.size() 2024-12-18T00:12:54.8560710Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:54.8560807Z >>> # With torch.Size 2024-12-18T00:12:54.8560915Z >>> m = nn.Sequential( 2024-12-18T00:12:54.8561012Z >>> nn.Linear(50, 50), 2024-12-18T00:12:54.8561149Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2024-12-18T00:12:54.8561233Z >>> ) 2024-12-18T00:12:54.8561345Z >>> output = m(input) 2024-12-18T00:12:54.8561514Z >>> output.size() 2024-12-18T00:12:54.8561618Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:54.8561755Z >>> # With namedshape (tuple of tuples) 2024-12-18T00:12:54.8561909Z >>> input = torch.randn(2, 50, names=('N', 'features')) 2024-12-18T00:12:54.8562127Z >>> unflatten = nn.Unflatten('features', (('C', 2), ('H', 5), ('W', 5))) 2024-12-18T00:12:54.8562237Z >>> output = unflatten(input) 2024-12-18T00:12:54.8562335Z >>> output.size() 2024-12-18T00:12:54.8562448Z torch.Size([2, 2, 5, 5]) 2024-12-18T00:12:54.8562532Z 2024-12-18T00:12:54.8562798Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8562884Z 2024-12-18T00:12:54.8562984Z warnings.warn(msg) 2024-12-18T00:12:54.8563082Z 2024-12-18T00:12:54.8563292Z --- Parse Warning: 83 / 105 --- 2024-12-18T00:12:54.8564274Z /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=1698. 2024-12-18T00:12:54.8564655Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8564874Z Creates a criterion that measures the triplet loss given input 2024-12-18T00:12:54.8565071Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2024-12-18T00:12:54.8565296Z positive, and negative examples, respectively), and a nonnegative, 2024-12-18T00:12:54.8565544Z real-valued function ("distance function") used to compute the relationship 2024-12-18T00:12:54.8565765Z between the anchor and positive example ("positive distance") and the 2024-12-18T00:12:54.8565933Z anchor and negative example ("negative distance"). 2024-12-18T00:12:54.8566018Z 2024-12-18T00:12:54.8566274Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2024-12-18T00:12:54.8566378Z can be described as: 2024-12-18T00:12:54.8566507Z 2024-12-18T00:12:54.8566620Z .. math:: 2024-12-18T00:12:54.8566767Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2024-12-18T00:12:54.8566947Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2024-12-18T00:12:54.8567032Z 2024-12-18T00:12:54.8567290Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2024-12-18T00:12:54.8567585Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2024-12-18T00:12:54.8567824Z and :math:`margin` is a nonnegative margin representing the minimum difference 2024-12-18T00:12:54.8568084Z between the positive and negative distances that is required for the loss to 2024-12-18T00:12:54.8568309Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2024-12-18T00:12:54.8568452Z that the distance function can handle. 2024-12-18T00:12:54.8568536Z 2024-12-18T00:12:54.8568671Z If :attr:`reduction` is not ``'none'`` 2024-12-18T00:12:54.8568776Z (default ``'mean'``), then: 2024-12-18T00:12:54.8568864Z 2024-12-18T00:12:54.8568970Z .. math:: 2024-12-18T00:12:54.8569064Z \ell(x, y) = 2024-12-18T00:12:54.8569172Z \begin{cases} 2024-12-18T00:12:54.8569376Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2024-12-18T00:12:54.8569567Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2024-12-18T00:12:54.8569673Z \end{cases} 2024-12-18T00:12:54.8569757Z 2024-12-18T00:12:54.8570005Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2024-12-18T00:12:54.8570254Z loss for input tensors using the :math:`l_p` distance as the distance function. 2024-12-18T00:12:54.8570353Z 2024-12-18T00:12:54.8570442Z Args: 2024-12-18T00:12:54.8570717Z distance_function (Callable, optional): A nonnegative, real-valued function that 2024-12-18T00:12:54.8570924Z quantifies the closeness of two tensors. If not specified, 2024-12-18T00:12:54.8571101Z `nn.PairwiseDistance` will be used. Default: ``None`` 2024-12-18T00:12:54.8571384Z margin (float, optional): A nonnegative margin representing the minimum difference 2024-12-18T00:12:54.8571657Z between the positive and negative distances required for the loss to be 0. Larger 2024-12-18T00:12:54.8571949Z margins penalize cases where the negative examples are not distant enough from the 2024-12-18T00:12:54.8572127Z anchors, relative to the positives. Default: :math:`1`. 2024-12-18T00:12:54.8572374Z swap (bool, optional): Whether to use the distance swap described in the paper 2024-12-18T00:12:54.8572652Z `Learning shallow convolutional feature descriptors with triplet losses` by 2024-12-18T00:12:54.8572886Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2024-12-18T00:12:54.8573194Z negative example than the anchor is, swaps the positive example and the anchor in 2024-12-18T00:12:54.8573371Z the loss computation. Default: ``False``. 2024-12-18T00:12:54.8573662Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2024-12-18T00:12:54.8573846Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2024-12-18T00:12:54.8574041Z ``'mean'``: the sum of the output will be divided by the number of 2024-12-18T00:12:54.8574280Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2024-12-18T00:12:54.8574365Z 2024-12-18T00:12:54.8574463Z 2024-12-18T00:12:54.8574553Z Shape: 2024-12-18T00:12:54.8574836Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2024-12-18T00:12:54.8574973Z as supported by the distance function. 2024-12-18T00:12:54.8575267Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2024-12-18T00:12:54.8575362Z otherwise. 2024-12-18T00:12:54.8575445Z 2024-12-18T00:12:54.8575551Z Examples:: 2024-12-18T00:12:54.8575633Z 2024-12-18T00:12:54.8575747Z >>> # Initialize embeddings 2024-12-18T00:12:54.8575867Z >>> embedding = nn.Embedding(1000, 128) 2024-12-18T00:12:54.8575995Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:54.8576137Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:54.8576266Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2024-12-18T00:12:54.8576390Z >>> anchor = embedding(anchor_ids) 2024-12-18T00:12:54.8576518Z >>> positive = embedding(positive_ids) 2024-12-18T00:12:54.8576649Z >>> negative = embedding(negative_ids) 2024-12-18T00:12:54.8576736Z >>> 2024-12-18T00:12:54.8576850Z >>> # Built-in Distance Function 2024-12-18T00:12:54.8576962Z >>> triplet_loss = \ 2024-12-18T00:12:54.8577244Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2024-12-18T00:12:54.8577412Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:54.8577517Z >>> output.backward() 2024-12-18T00:12:54.8577604Z >>> 2024-12-18T00:12:54.8577724Z >>> # Custom Distance Function 2024-12-18T00:12:54.8577829Z >>> def l_infinity(x1, x2): 2024-12-18T00:12:54.8577997Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2024-12-18T00:12:54.8578083Z >>> 2024-12-18T00:12:54.8578286Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2024-12-18T00:12:54.8578388Z >>> triplet_loss = ( 2024-12-18T00:12:54.8578672Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2024-12-18T00:12:54.8578840Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:54.8578944Z >>> output.backward() 2024-12-18T00:12:54.8579043Z >>> 2024-12-18T00:12:54.8579167Z >>> # Custom Distance Function (Lambda) 2024-12-18T00:12:54.8579268Z >>> triplet_loss = ( 2024-12-18T00:12:54.8579410Z >>> nn.TripletMarginWithDistanceLoss( 2024-12-18T00:12:54.8579629Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2024-12-18T00:12:54.8579794Z >>> output = triplet_loss(anchor, positive, negative) 2024-12-18T00:12:54.8579896Z >>> output.backward() 2024-12-18T00:12:54.8579993Z 2024-12-18T00:12:54.8580084Z Reference: 2024-12-18T00:12:54.8580385Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2024-12-18T00:12:54.8580621Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2024-12-18T00:12:54.8580707Z 2024-12-18T00:12:54.8580973Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2024-12-18T00:12:54.8581059Z 2024-12-18T00:12:54.8581212Z warnings.warn(msg) 2024-12-18T00:12:54.8581306Z 2024-12-18T00:12:54.8581511Z --- Parse Warning: 84 / 105 --- 2024-12-18T00:12:54.8582396Z /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. 2024-12-18T00:12:54.8582659Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8582830Z Computes a partial inverse of :class:`MaxPool2d`. 2024-12-18T00:12:54.8582917Z 2024-12-18T00:12:54.8583179Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2024-12-18T00:12:54.8583312Z 2024-12-18T00:12:54.8583539Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2024-12-18T00:12:54.8583825Z including the indices of the maximal values and computes a partial inverse 2024-12-18T00:12:54.8583974Z in which all non-maximal values are set to zero. 2024-12-18T00:12:54.8584070Z 2024-12-18T00:12:54.8584159Z Note: 2024-12-18T00:12:54.8584470Z This operation may behave nondeterministically when the input indices has repeat values. 2024-12-18T00:12:54.8584856Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2024-12-18T00:12:54.8584939Z 2024-12-18T00:12:54.8585177Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2024-12-18T00:12:54.8585351Z sizes. Hence, the inversion process can get ambiguous. 2024-12-18T00:12:54.8585550Z To accommodate this, you can provide the needed output size 2024-12-18T00:12:54.8585760Z as an additional argument :attr:`output_size` in the forward call. 2024-12-18T00:12:54.8585884Z See the Inputs and Example below. 2024-12-18T00:12:54.8585976Z 2024-12-18T00:12:54.8586064Z Args: 2024-12-18T00:12:54.8586260Z kernel_size (int or tuple): Size of the max pooling window. 2024-12-18T00:12:54.8586431Z stride (int or tuple): Stride of the max pooling window. 2024-12-18T00:12:54.8586578Z It is set to :attr:`kernel_size` by default. 2024-12-18T00:12:54.8586760Z padding (int or tuple): Padding that was added to the input 2024-12-18T00:12:54.8586842Z 2024-12-18T00:12:54.8586942Z Inputs: 2024-12-18T00:12:54.8587068Z - `input`: the input Tensor to invert 2024-12-18T00:12:54.8587283Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2024-12-18T00:12:54.8587441Z - `output_size` (optional): the targeted output size 2024-12-18T00:12:54.8587523Z 2024-12-18T00:12:54.8587623Z Shape: 2024-12-18T00:12:54.8587807Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2024-12-18T00:12:54.8588031Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2024-12-18T00:12:54.8588118Z 2024-12-18T00:12:54.8588221Z .. math:: 2024-12-18T00:12:54.8588488Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2024-12-18T00:12:54.8588572Z 2024-12-18T00:12:54.8588672Z .. math:: 2024-12-18T00:12:54.8588924Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2024-12-18T00:12:54.8589019Z 2024-12-18T00:12:54.8589182Z or as given by :attr:`output_size` in the call operator 2024-12-18T00:12:54.8589276Z 2024-12-18T00:12:54.8589367Z Example:: 2024-12-18T00:12:54.8589448Z 2024-12-18T00:12:54.8589623Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2024-12-18T00:12:54.8589750Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2024-12-18T00:12:54.8589894Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2024-12-18T00:12:54.8590061Z [ 5., 6., 7., 8.], 2024-12-18T00:12:54.8590171Z [ 9., 10., 11., 12.], 2024-12-18T00:12:54.8590296Z [13., 14., 15., 16.]]]]) 2024-12-18T00:12:54.8590412Z >>> output, indices = pool(input) 2024-12-18T00:12:54.8590531Z >>> unpool(output, indices) 2024-12-18T00:12:54.8590638Z tensor([[[[ 0., 0., 0., 0.], 2024-12-18T00:12:54.8590752Z [ 0., 6., 0., 8.], 2024-12-18T00:12:54.8590853Z [ 0., 0., 0., 0.], 2024-12-18T00:12:54.8590957Z [ 0., 14., 0., 16.]]]]) 2024-12-18T00:12:54.8591202Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2024-12-18T00:12:54.8591347Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2024-12-18T00:12:54.8591503Z [ 6., 7., 8., 9., 10.], 2024-12-18T00:12:54.8591617Z [11., 12., 13., 14., 15.], 2024-12-18T00:12:54.8591742Z [16., 17., 18., 19., 20.]]]]) 2024-12-18T00:12:54.8591860Z >>> output, indices = pool(input) 2024-12-18T00:12:54.8592032Z >>> # This call will not work without specifying output_size 2024-12-18T00:12:54.8592202Z >>> unpool(output, indices, output_size=input.size()) 2024-12-18T00:12:54.8592311Z tensor([[[[ 0., 0., 0., 0., 0.], 2024-12-18T00:12:54.8592426Z [ 0., 7., 0., 9., 0.], 2024-12-18T00:12:54.8592527Z [ 0., 0., 0., 0., 0.], 2024-12-18T00:12:54.8592644Z [ 0., 17., 0., 19., 0.]]]]) 2024-12-18T00:12:54.8592729Z 2024-12-18T00:12:54.8592811Z 2024-12-18T00:12:54.8592910Z 2024-12-18T00:12:54.8593163Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8593264Z 2024-12-18T00:12:54.8593363Z warnings.warn(msg) 2024-12-18T00:12:54.8593444Z 2024-12-18T00:12:54.8593651Z --- Parse Warning: 85 / 105 --- 2024-12-18T00:12:54.8594529Z /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. 2024-12-18T00:12:54.8594805Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8595120Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2024-12-18T00:12:54.8595217Z 2024-12-18T00:12:54.8595540Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2024-12-18T00:12:54.8595653Z and with 2D inputs, this class 2024-12-18T00:12:54.8595750Z 2024-12-18T00:12:54.8596055Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2024-12-18T00:12:54.8596379Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2024-12-18T00:12:54.8596674Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2024-12-18T00:12:54.8596771Z 2024-12-18T00:12:54.8597124Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2024-12-18T00:12:54.8597217Z operations. 2024-12-18T00:12:54.8597311Z 2024-12-18T00:12:54.8597569Z EmbeddingBag also supports per-sample weights as an argument to the forward 2024-12-18T00:12:54.8597821Z pass. This scales the output of the Embedding before performing a weighted 2024-12-18T00:12:54.8598072Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2024-12-18T00:12:54.8598377Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2024-12-18T00:12:54.8598489Z :attr:`per_sample_weights`. 2024-12-18T00:12:54.8598571Z 2024-12-18T00:12:54.8598675Z Args: 2024-12-18T00:12:54.8598859Z num_embeddings (int): size of the dictionary of embeddings 2024-12-18T00:12:54.8599042Z embedding_dim (int): the size of each embedding vector 2024-12-18T00:12:54.8599354Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2024-12-18T00:12:54.8599522Z is renormalized to have norm :attr:`max_norm`. 2024-12-18T00:12:54.8599886Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2024-12-18T00:12:54.8600212Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2024-12-18T00:12:54.8600423Z the words in the mini-batch. Default ``False``. 2024-12-18T00:12:54.8600610Z Note: this option is not supported when ``mode="max"``. 2024-12-18T00:12:54.8600871Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2024-12-18T00:12:54.8601096Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2024-12-18T00:12:54.8601330Z into consideration. ``"mean"`` computes the average of the values 2024-12-18T00:12:54.8601582Z in the bag, ``"max"`` computes the max value over each bag. 2024-12-18T00:12:54.8601720Z Default: ``"mean"`` 2024-12-18T00:12:54.8602042Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2024-12-18T00:12:54.8602302Z Notes for more details regarding sparse gradients. Note: this option is not 2024-12-18T00:12:54.8602446Z supported when ``mode="max"``. 2024-12-18T00:12:54.8602816Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2024-12-18T00:12:54.8603057Z is equivalent to the size of `indices`. This matches the CSR format. 2024-12-18T00:12:54.8603389Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2024-12-18T00:12:54.8603673Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2024-12-18T00:12:54.8603919Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2024-12-18T00:12:54.8604207Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2024-12-18T00:12:54.8604459Z zeros, but can be updated to another value to be used as the padding vector. 2024-12-18T00:12:54.8604709Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2024-12-18T00:12:54.8604837Z reduction. 2024-12-18T00:12:54.8604921Z 2024-12-18T00:12:54.8605024Z Attributes: 2024-12-18T00:12:54.8605340Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2024-12-18T00:12:54.8605498Z initialized from :math:`\mathcal{N}(0, 1)`. 2024-12-18T00:12:54.8605587Z 2024-12-18T00:12:54.8605683Z Examples:: 2024-12-18T00:12:54.8605778Z 2024-12-18T00:12:54.8605951Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2024-12-18T00:12:54.8606175Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2024-12-18T00:12:54.8606331Z >>> # a batch of 2 samples of 4 indices each 2024-12-18T00:12:54.8606531Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2024-12-18T00:12:54.8606679Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-12-18T00:12:54.8606824Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2024-12-18T00:12:54.8606955Z >>> embedding_sum(input, offsets) 2024-12-18T00:12:54.8607065Z tensor([[-0.8861, -5.4350, -0.0523], 2024-12-18T00:12:54.8607182Z [ 1.1306, -2.5798, -1.0044]]) 2024-12-18T00:12:54.8607265Z 2024-12-18T00:12:54.8607377Z >>> # Example with padding_idx 2024-12-18T00:12:54.8607620Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2024-12-18T00:12:54.8607835Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2024-12-18T00:12:54.8608000Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2024-12-18T00:12:54.8608120Z >>> embedding_sum(input, offsets) 2024-12-18T00:12:54.8608237Z tensor([[ 0.0000, 0.0000, 0.0000], 2024-12-18T00:12:54.8608343Z [-0.7082, 3.2145, -2.6251]]) 2024-12-18T00:12:54.8608425Z 2024-12-18T00:12:54.8608611Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2024-12-18T00:12:54.8608763Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2024-12-18T00:12:54.8608938Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2024-12-18T00:12:54.8609047Z embedding.weight, 2024-12-18T00:12:54.8609192Z padding_idx=embedding.padding_idx, 2024-12-18T00:12:54.8609289Z mode='sum') 2024-12-18T00:12:54.8609379Z 2024-12-18T00:12:54.8609640Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8609725Z 2024-12-18T00:12:54.8609838Z warnings.warn(msg) 2024-12-18T00:12:54.8609919Z 2024-12-18T00:12:54.8610127Z --- Parse Warning: 86 / 105 --- 2024-12-18T00:12:54.8611132Z /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. 2024-12-18T00:12:54.8611394Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8611490Z 2024-12-18T00:12:54.8611723Z Context manager for training with uneven inputs across processes in DDP. 2024-12-18T00:12:54.8611819Z 2024-12-18T00:12:54.8612043Z This context manager will keep track of already-joined DDP processes, 2024-12-18T00:12:54.8627111Z and "shadow" the forward and backward passes by inserting collective 2024-12-18T00:12:54.8627445Z communication operations to match with the ones created by non-joined 2024-12-18T00:12:54.8627688Z DDP processes. This will ensure each collective call has a corresponding 2024-12-18T00:12:54.8627917Z call by already-joined DDP processes, preventing hangs or errors that 2024-12-18T00:12:54.8628116Z would otherwise happen when training with uneven inputs across 2024-12-18T00:12:54.8628353Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2024-12-18T00:12:54.8628559Z specified to be ``True``, all trainers will throw an error once one rank 2024-12-18T00:12:54.8628753Z runs out of inputs, allowing these errors to be caught and handled 2024-12-18T00:12:54.8628872Z according to application logic. 2024-12-18T00:12:54.8628951Z 2024-12-18T00:12:54.8629169Z Once all DDP processes have joined, the context manager will broadcast 2024-12-18T00:12:54.8629387Z the model corresponding to the last joined process to all processes to 2024-12-18T00:12:54.8629538Z ensure the model is the same across all processes 2024-12-18T00:12:54.8629791Z (which is guaranteed by DDP). 2024-12-18T00:12:54.8629870Z 2024-12-18T00:12:54.8630075Z To use this to enable training with uneven inputs across processes, 2024-12-18T00:12:54.8630290Z simply wrap this context manager around your training loop. No further 2024-12-18T00:12:54.8630463Z modifications to the model or data loading is required. 2024-12-18T00:12:54.8630540Z 2024-12-18T00:12:54.8630640Z .. warning:: 2024-12-18T00:12:54.8630841Z If the model or training loop this context manager is wrapped around 2024-12-18T00:12:54.8631020Z has additional distributed collective operations, such as 2024-12-18T00:12:54.8631210Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2024-12-18T00:12:54.8631438Z ``throw_on_early_termination`` must be enabled. This is because this 2024-12-18T00:12:54.8631649Z context manager is not aware of non-DDP collective communication. 2024-12-18T00:12:54.8631860Z This flag will cause all ranks to throw when any one rank 2024-12-18T00:12:54.8632071Z exhausts inputs, allowing these errors to be caught and recovered 2024-12-18T00:12:54.8632167Z from across all ranks. 2024-12-18T00:12:54.8632243Z 2024-12-18T00:12:54.8632333Z Args: 2024-12-18T00:12:54.8632506Z divide_by_initial_world_size (bool): If ``True``, will divide 2024-12-18T00:12:54.8632707Z gradients by the initial ``world_size`` DDP training was launched 2024-12-18T00:12:54.8632865Z with. If ``False``, will compute the effective world size 2024-12-18T00:12:54.8633045Z (number of ranks that have not depleted their inputs yet) and 2024-12-18T00:12:54.8633192Z divide gradients by that during allreduce. Set 2024-12-18T00:12:54.8633364Z ``divide_by_initial_world_size=True`` to ensure every input 2024-12-18T00:12:54.8633569Z sample including the uneven inputs have equal weight in terms of 2024-12-18T00:12:54.8633734Z how much they contribute to the global gradient. This is 2024-12-18T00:12:54.8633907Z achieved by always dividing the gradient by the initial 2024-12-18T00:12:54.8634088Z ``world_size`` even when we encounter uneven inputs. If you set 2024-12-18T00:12:54.8634246Z this to ``False``, we divide the gradient by the remaining 2024-12-18T00:12:54.8634436Z number of nodes. This ensures parity with training on a smaller 2024-12-18T00:12:54.8634610Z ``world_size`` although it also means the uneven inputs would 2024-12-18T00:12:54.8634798Z contribute more towards the global gradient. Typically, you 2024-12-18T00:12:54.8634977Z would want to set this to ``True`` for cases where the last few 2024-12-18T00:12:54.8635169Z inputs of your training job are uneven. In extreme cases, where 2024-12-18T00:12:54.8635344Z there is a large discrepancy in the number of inputs, setting 2024-12-18T00:12:54.8635483Z this to ``False`` might provide better results. 2024-12-18T00:12:54.8635689Z enable (bool): Whether to enable uneven input detection or not. Pass 2024-12-18T00:12:54.8635853Z in ``enable=False`` to disable in cases where you know that 2024-12-18T00:12:54.8636036Z inputs are even across participating processes. Default is 2024-12-18T00:12:54.8636118Z ``True``. 2024-12-18T00:12:54.8636295Z throw_on_early_termination (bool): Whether to throw an error 2024-12-18T00:12:54.8636462Z or continue training when at least one rank has exhausted 2024-12-18T00:12:54.8636639Z inputs. If ``True``, will throw upon the first rank reaching end 2024-12-18T00:12:54.8636806Z of data. If ``False``, will continue training with a smaller 2024-12-18T00:12:54.8636992Z effective world size until all ranks are joined. Note that if 2024-12-18T00:12:54.8637112Z this flag is specified, then the flag 2024-12-18T00:12:54.8637304Z ``divide_by_initial_world_size`` would be ignored. Default 2024-12-18T00:12:54.8637419Z is ``False``. 2024-12-18T00:12:54.8637494Z 2024-12-18T00:12:54.8637569Z 2024-12-18T00:12:54.8637658Z Example:: 2024-12-18T00:12:54.8637733Z 2024-12-18T00:12:54.8637848Z >>> # xdoctest: +SKIP("Distributed") 2024-12-18T00:12:54.8637934Z >>> import torch 2024-12-18T00:12:54.8638045Z >>> import torch.distributed as dist 2024-12-18T00:12:54.8638131Z >>> import os 2024-12-18T00:12:54.8638248Z >>> import torch.multiprocessing as mp 2024-12-18T00:12:54.8638347Z >>> import torch.nn as nn 2024-12-18T00:12:54.8638441Z >>> # On each spawned worker 2024-12-18T00:12:54.8638536Z >>> def worker(rank): 2024-12-18T00:12:54.8638733Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2024-12-18T00:12:54.8638841Z >>> torch.cuda.set_device(rank) 2024-12-18T00:12:54.8639002Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2024-12-18T00:12:54.8639176Z >>> model = torch.nn.parallel.DistributedDataParallel( 2024-12-18T00:12:54.8639313Z >>> model, device_ids=[rank], output_device=rank 2024-12-18T00:12:54.8639393Z >>> ) 2024-12-18T00:12:54.8639514Z >>> # Rank 1 gets one more input than rank 0. 2024-12-18T00:12:54.8639695Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2024-12-18T00:12:54.8639788Z >>> with model.join(): 2024-12-18T00:12:54.8639885Z >>> for _ in range(5): 2024-12-18T00:12:54.8639983Z >>> for inp in inputs: 2024-12-18T00:12:54.8640096Z >>> loss = model(inp).sum() 2024-12-18T00:12:54.8640196Z >>> loss.backward() 2024-12-18T00:12:54.8640380Z >>> # Without the join() API, the below synchronization will hang 2024-12-18T00:12:54.8640519Z >>> # blocking for rank 1's allreduce to complete. 2024-12-18T00:12:54.8640639Z >>> torch.cuda.synchronize(device=rank) 2024-12-18T00:12:54.8640734Z 2024-12-18T00:12:54.8640985Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8641082Z 2024-12-18T00:12:54.8641180Z warnings.warn(msg) 2024-12-18T00:12:54.8641263Z 2024-12-18T00:12:54.8641626Z --- Parse Warning: 87 / 105 --- 2024-12-18T00:12:54.8642700Z /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. 2024-12-18T00:12:54.8642974Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8643059Z 2024-12-18T00:12:54.8643380Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2024-12-18T00:12:54.8643468Z 2024-12-18T00:12:54.8643682Z Registers an optimizer with DDP such that the optimization for a 2024-12-18T00:12:54.8643901Z parameter will run immediately when that parameter's gradient is 2024-12-18T00:12:54.8644106Z finished with reduction, instead of waiting for all parameters' 2024-12-18T00:12:54.8644336Z gradients to finish reduction. This can result in a training speedup 2024-12-18T00:12:54.8644554Z depending on your workload since the optimizer can run while gradient 2024-12-18T00:12:54.8644797Z reduction for other parameters are still ongoing. In addition, this has 2024-12-18T00:12:54.8645019Z the potential to reduce peak memory consumption during training, as it 2024-12-18T00:12:54.8645224Z only needs to load the per-parameter optimizer states of a single 2024-12-18T00:12:54.8645448Z parameter at a time, instead of loading all per-parameter optimizer 2024-12-18T00:12:54.8645542Z states at once. 2024-12-18T00:12:54.8645640Z 2024-12-18T00:12:54.8645727Z Args: 2024-12-18T00:12:54.8645984Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2024-12-18T00:12:54.8646102Z as a fused optimizer. 2024-12-18T00:12:54.8646271Z *args (Sequence[Any]): Arguments to forward to `optim`. 2024-12-18T00:12:54.8646496Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2024-12-18T00:12:54.8646724Z to optimize, similar to `params` argument of traditional `torch.optim` 2024-12-18T00:12:54.8646942Z Optimizers. If this is omitted, all DDP model parameters will be 2024-12-18T00:12:54.8647038Z optimized. 2024-12-18T00:12:54.8647236Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2024-12-18T00:12:54.8647335Z 2024-12-18T00:12:54.8647460Z .. warning :: 2024-12-18T00:12:54.8647687Z _register_fused_optim should only be called once on a DDP instance, 2024-12-18T00:12:54.8647946Z and registering multiple fused optimizers for the same DDP model 2024-12-18T00:12:54.8648096Z is not currently supported. Please ping 2024-12-18T00:12:54.8648331Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:54.8648428Z for your use case. 2024-12-18T00:12:54.8648533Z 2024-12-18T00:12:54.8648624Z .. warning :: 2024-12-18T00:12:54.8648835Z _register_fused_optim and register_comm_hook currently do not 2024-12-18T00:12:54.8649047Z compose together, meaning that custom DDP communication hooks are 2024-12-18T00:12:54.8649223Z not supported with overlapped optimizers. Please ping 2024-12-18T00:12:54.8649467Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:54.8649563Z for your use case. 2024-12-18T00:12:54.8649661Z 2024-12-18T00:12:54.8649753Z .. warning :: 2024-12-18T00:12:54.8649991Z Gradient accumulation and DDP `no_sync` are currently not supported 2024-12-18T00:12:54.8650123Z with overlapped optimizer. Please ping 2024-12-18T00:12:54.8650351Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2024-12-18T00:12:54.8650458Z for your use case. 2024-12-18T00:12:54.8650540Z 2024-12-18T00:12:54.8650643Z Example:: 2024-12-18T00:12:54.8650724Z 2024-12-18T00:12:54.8650857Z >>> # xdoctest: +SKIP("No rendezvous handler") 2024-12-18T00:12:54.8651165Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2024-12-18T00:12:54.8651362Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2024-12-18T00:12:54.8651465Z >>> lr = 1e-2 2024-12-18T00:12:54.8651561Z >>> betas = (0.9, 0.99) 2024-12-18T00:12:54.8651664Z >>> eps = 1e-6 2024-12-18T00:12:54.8651888Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2024-12-18T00:12:54.8652011Z >>> # Example with subset of parameters 2024-12-18T00:12:54.8652162Z >>> params_to_opt = [list(net.parameters())[0]] 2024-12-18T00:12:54.8652277Z >>> net._register_fused_optim( 2024-12-18T00:12:54.8652519Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2024-12-18T00:12:54.8652605Z ... ) 2024-12-18T00:12:54.8652701Z 2024-12-18T00:12:54.8652952Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8653036Z 2024-12-18T00:12:54.8653151Z warnings.warn(msg) 2024-12-18T00:12:54.8653234Z 2024-12-18T00:12:54.8653459Z --- Parse Warning: 88 / 105 --- 2024-12-18T00:12:54.8654437Z /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. 2024-12-18T00:12:54.8654714Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8654964Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2024-12-18T00:12:54.8655075Z 2024-12-18T00:12:54.8655360Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-12-18T00:12:54.8655630Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-12-18T00:12:54.8655897Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-12-18T00:12:54.8656202Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-12-18T00:12:54.8656301Z 2024-12-18T00:12:54.8656391Z .. note:: 2024-12-18T00:12:54.8656626Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2024-12-18T00:12:54.8656888Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2024-12-18T00:12:54.8657104Z layer with 4d weight will be affected by ``model.to``, which does not 2024-12-18T00:12:54.8657373Z necessarily benefit from conversion to specified ``memory_format``. 2024-12-18T00:12:54.8657597Z One place we are confident in is that NHWC(channels_last) conversion for 2024-12-18T00:12:54.8657826Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2024-12-18T00:12:54.8658235Z even in cases where we have to apply permutation to input tensors. 2024-12-18T00:12:54.8658323Z 2024-12-18T00:12:54.8658570Z Hence our strategy here is to convert only the weight of convolution to 2024-12-18T00:12:54.8658689Z channels_last. This ensures that; 2024-12-18T00:12:54.8658921Z 1. Fast convolution kernels will be used, the benefit of which could 2024-12-18T00:12:54.8659158Z outweigh overhead of permutation (if input is not in the same format). 2024-12-18T00:12:54.8659405Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-12-18T00:12:54.8659524Z from memory_format conversion. 2024-12-18T00:12:54.8659613Z 2024-12-18T00:12:54.8659850Z The optimal case is that, layers between convolution layers are channels 2024-12-18T00:12:54.8660085Z last compatible. Input tensor would be permuted to channels last when it 2024-12-18T00:12:54.8660325Z encounters the first convolution layer and stay in that memory format. 2024-12-18T00:12:54.8660563Z Hence following convolutions will not need to permute its input tensor. 2024-12-18T00:12:54.8660661Z 2024-12-18T00:12:54.8660882Z In case where a channels last incompatible layer is between convolution 2024-12-18T00:12:54.8661093Z layers, we need to permute the input tensor back to contiguous format 2024-12-18T00:12:54.8661331Z for that layer. The input tensor will go through the remaining layers in 2024-12-18T00:12:54.8661556Z contiguous format and be permuted to channels last when it encounters 2024-12-18T00:12:54.8661780Z another convolution layer. There's no point in propagating that 2024-12-18T00:12:54.8661999Z permutation to an earlier layer, as most layers are quite agnostic to 2024-12-18T00:12:54.8662115Z ``memory_format``. 2024-12-18T00:12:54.8662199Z 2024-12-18T00:12:54.8662431Z This claim might change when PyTorch supports fusion of permutation, as 2024-12-18T00:12:54.8662664Z there might have been a better spot to fuse the permutation other than 2024-12-18T00:12:54.8662786Z immediately before a convolution. 2024-12-18T00:12:54.8662883Z 2024-12-18T00:12:54.8662970Z Args: 2024-12-18T00:12:54.8663184Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2024-12-18T00:12:54.8663306Z ``nn.Module`` 2024-12-18T00:12:54.8663456Z memory_format: user specified ``memory_format``, 2024-12-18T00:12:54.8663652Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-12-18T00:12:54.8663880Z 2024-12-18T00:12:54.8664016Z Returns: 2024-12-18T00:12:54.8664162Z The original module with updated ``nn.Conv2d`` 2024-12-18T00:12:54.8664247Z 2024-12-18T00:12:54.8664349Z Example: 2024-12-18T00:12:54.8664489Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.8664662Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-12-18T00:12:54.8664893Z >>> input = torch.randint(1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda") 2024-12-18T00:12:54.8665013Z >>> model = nn.Sequential( 2024-12-18T00:12:54.8665132Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2024-12-18T00:12:54.8665240Z >>> # This is identical to: 2024-12-18T00:12:54.8665537Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-12-18T00:12:54.8665839Z >>> model = nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2024-12-18T00:12:54.8665956Z >>> out = model(input) 2024-12-18T00:12:54.8666044Z 2024-12-18T00:12:54.8666297Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8666394Z 2024-12-18T00:12:54.8666492Z warnings.warn(msg) 2024-12-18T00:12:54.8666588Z 2024-12-18T00:12:54.8666803Z --- Parse Warning: 89 / 105 --- 2024-12-18T00:12:54.8667799Z /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. 2024-12-18T00:12:54.8668062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8668277Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2024-12-18T00:12:54.8668566Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2024-12-18T00:12:54.8668841Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2024-12-18T00:12:54.8669108Z This function is used to facilitate the computation to adopt NHWC kernels, which 2024-12-18T00:12:54.8669411Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2024-12-18T00:12:54.8669509Z 2024-12-18T00:12:54.8669605Z .. note:: 2024-12-18T00:12:54.8669850Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2024-12-18T00:12:54.8670082Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2024-12-18T00:12:54.8670307Z layer with 4d weight will be affected by ``model.to``, which does not 2024-12-18T00:12:54.8670532Z necessarily benefit from conversion to specified ``memory_format``. 2024-12-18T00:12:54.8670767Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2024-12-18T00:12:54.8671004Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2024-12-18T00:12:54.8671205Z even in cases where we have to apply permutation to input tensors. 2024-12-18T00:12:54.8671299Z 2024-12-18T00:12:54.8671523Z Hence our strategy here is to convert only the weight of convolution to 2024-12-18T00:12:54.8671656Z channels_last_3d. This ensures that; 2024-12-18T00:12:54.8671871Z 1. Fast convolution kernels will be used, the benefit of which could 2024-12-18T00:12:54.8672101Z outweigh overhead of permutation (if input is not in the same format). 2024-12-18T00:12:54.8672347Z 2. No unnecessary permutations are applied on layers that do not benefit 2024-12-18T00:12:54.8672464Z from memory_format conversion. 2024-12-18T00:12:54.8672560Z 2024-12-18T00:12:54.8672785Z The optimal case is that, layers between convolution layers are channels 2024-12-18T00:12:54.8673084Z last compatible. Input tensor would be permuted to channels last when it 2024-12-18T00:12:54.8673312Z encounters the first convolution layer and stay in that memory format. 2024-12-18T00:12:54.8673546Z Hence following convolutions will not need to permute its input tensor. 2024-12-18T00:12:54.8673642Z 2024-12-18T00:12:54.8673863Z In case where a channels last incompatible layer is between convolution 2024-12-18T00:12:54.8674082Z layers, we need to permute the input tensor back to contiguous format 2024-12-18T00:12:54.8674306Z for that layer. The input tensor will go through the remaining layers in 2024-12-18T00:12:54.8674567Z contiguous format and be permuted to channels last when it encounters 2024-12-18T00:12:54.8674777Z another convolution layer. There's no point in propagating that 2024-12-18T00:12:54.8675021Z permutation to an earlier layer, as most layers are quite agnostic to 2024-12-18T00:12:54.8675134Z ``memory_format``. 2024-12-18T00:12:54.8675218Z 2024-12-18T00:12:54.8675455Z This claim might change when PyTorch supports fusion of permutation, as 2024-12-18T00:12:54.8675676Z there might have been a better spot to fuse the permutation other than 2024-12-18T00:12:54.8675810Z immediately before a convolution. 2024-12-18T00:12:54.8675893Z 2024-12-18T00:12:54.8675983Z Args: 2024-12-18T00:12:54.8676209Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2024-12-18T00:12:54.8676314Z ``nn.Module`` 2024-12-18T00:12:54.8676478Z memory_format: user specified ``memory_format``, 2024-12-18T00:12:54.8676663Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2024-12-18T00:12:54.8676746Z 2024-12-18T00:12:54.8676843Z Returns: 2024-12-18T00:12:54.8676989Z The original module with updated ``nn.Conv3d`` 2024-12-18T00:12:54.8677088Z 2024-12-18T00:12:54.8677178Z Example: 2024-12-18T00:12:54.8677331Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2024-12-18T00:12:54.8677487Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2024-12-18T00:12:54.8677719Z >>> input = torch.randint(1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda") 2024-12-18T00:12:54.8677842Z >>> model = nn.Sequential( 2024-12-18T00:12:54.8677959Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2024-12-18T00:12:54.8678073Z >>> # This is identical to: 2024-12-18T00:12:54.8678325Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-12-18T00:12:54.8678608Z >>> model = nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2024-12-18T00:12:54.8678707Z >>> out = model(input) 2024-12-18T00:12:54.8678792Z 2024-12-18T00:12:54.8679058Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8679145Z 2024-12-18T00:12:54.8679255Z warnings.warn(msg) 2024-12-18T00:12:54.8679337Z 2024-12-18T00:12:54.8679537Z --- Parse Warning: 90 / 105 --- 2024-12-18T00:12:54.8680426Z /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. 2024-12-18T00:12:54.8680688Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8680930Z Prune tensor by removing random channels along the specified dimension. 2024-12-18T00:12:54.8681011Z 2024-12-18T00:12:54.8681260Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-12-18T00:12:54.8681563Z by removing the specified ``amount`` of (currently unpruned) channels 2024-12-18T00:12:54.8681715Z along the specified ``dim`` selected at random. 2024-12-18T00:12:54.8681985Z Modifies module in place (and also return the modified module) 2024-12-18T00:12:54.8682076Z by: 2024-12-18T00:12:54.8682169Z 2024-12-18T00:12:54.8682376Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:54.8682609Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:54.8682821Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:54.8683031Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:54.8683137Z ``name+'_orig'``. 2024-12-18T00:12:54.8683220Z 2024-12-18T00:12:54.8683315Z Args: 2024-12-18T00:12:54.8683518Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:54.8683711Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:54.8683831Z will act. 2024-12-18T00:12:54.8684006Z amount (int or float): quantity of parameters to prune. 2024-12-18T00:12:54.8684189Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:54.8684390Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:54.8684534Z absolute number of parameters to prune. 2024-12-18T00:12:54.8684731Z dim (int): index of the dim along which we define channels to prune. 2024-12-18T00:12:54.8684813Z 2024-12-18T00:12:54.8684912Z Returns: 2024-12-18T00:12:54.8685129Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:54.8685223Z 2024-12-18T00:12:54.8685312Z Examples: 2024-12-18T00:12:54.8685428Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8685545Z >>> m = prune.random_structured( 2024-12-18T00:12:54.8685686Z ... nn.Linear(5, 3), 'weight', amount=3, dim=1 2024-12-18T00:12:54.8685788Z ... ) 2024-12-18T00:12:54.8685970Z >>> columns_pruned = int(sum(torch.sum(m.weight, dim=0) == 0)) 2024-12-18T00:12:54.8686089Z >>> print(columns_pruned) 2024-12-18T00:12:54.8686173Z 3 2024-12-18T00:12:54.8686257Z 2024-12-18T00:12:54.8686515Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8686597Z 2024-12-18T00:12:54.8686707Z warnings.warn(msg) 2024-12-18T00:12:54.8686791Z 2024-12-18T00:12:54.8687004Z --- Parse Warning: 91 / 105 --- 2024-12-18T00:12:54.8687857Z /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. 2024-12-18T00:12:54.8688118Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8688438Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2024-12-18T00:12:54.8688522Z 2024-12-18T00:12:54.8688766Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2024-12-18T00:12:54.8688981Z by removing the specified ``amount`` of (currently unpruned) channels 2024-12-18T00:12:54.8689167Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2024-12-18T00:12:54.8689363Z Modifies module in place (and also return the modified module) 2024-12-18T00:12:54.8689450Z by: 2024-12-18T00:12:54.8689545Z 2024-12-18T00:12:54.8689750Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:54.8689981Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:54.8690189Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:54.8690409Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:54.8690561Z ``name+'_orig'``. 2024-12-18T00:12:54.8690646Z 2024-12-18T00:12:54.8690740Z Args: 2024-12-18T00:12:54.8690917Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:54.8691109Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:54.8691202Z will act. 2024-12-18T00:12:54.8691373Z amount (int or float): quantity of parameters to prune. 2024-12-18T00:12:54.8691566Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:54.8691764Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:54.8691910Z absolute number of parameters to prune. 2024-12-18T00:12:54.8692126Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2024-12-18T00:12:54.8692322Z entries for argument ``p`` in :func:`torch.norm`. 2024-12-18T00:12:54.8692532Z dim (int): index of the dim along which we define channels to prune. 2024-12-18T00:12:54.8692766Z importance_scores (torch.Tensor): tensor of importance scores (of same 2024-12-18T00:12:54.8692968Z shape as module parameter) used to compute mask for pruning. 2024-12-18T00:12:54.8693184Z The values in this tensor indicate the importance of the corresponding 2024-12-18T00:12:54.8693326Z elements in the parameter being pruned. 2024-12-18T00:12:54.8693551Z If unspecified or None, the module parameter will be used in its place. 2024-12-18T00:12:54.8693643Z 2024-12-18T00:12:54.8693731Z Returns: 2024-12-18T00:12:54.8693948Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:54.8694047Z 2024-12-18T00:12:54.8694133Z Examples: 2024-12-18T00:12:54.8694263Z >>> from torch.nn.utils import prune 2024-12-18T00:12:54.8694373Z >>> m = prune.ln_structured( 2024-12-18T00:12:54.8694560Z ... nn.Conv2d(5, 3, 2), 'weight', amount=0.3, dim=1, n=float('-inf') 2024-12-18T00:12:54.8694657Z ... ) 2024-12-18T00:12:54.8694736Z 2024-12-18T00:12:54.8695001Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8695081Z 2024-12-18T00:12:54.8695178Z warnings.warn(msg) 2024-12-18T00:12:54.8695275Z 2024-12-18T00:12:54.8695465Z --- Parse Warning: 92 / 105 --- 2024-12-18T00:12:54.8696362Z /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. 2024-12-18T00:12:54.8696621Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8696716Z 2024-12-18T00:12:54.8697141Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2024-12-18T00:12:54.8697225Z 2024-12-18T00:12:54.8697349Z Modifies modules in place by: 2024-12-18T00:12:54.8697426Z 2024-12-18T00:12:54.8697644Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:54.8697857Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:54.8698076Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:54.8698280Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:54.8698371Z ``name+'_orig'``. 2024-12-18T00:12:54.8698463Z 2024-12-18T00:12:54.8698544Z Args: 2024-12-18T00:12:54.8698755Z parameters (Iterable of (module, name) tuples): parameters of 2024-12-18T00:12:54.8698942Z the model to prune in a global fashion, i.e. by aggregating all 2024-12-18T00:12:54.8699162Z weights prior to deciding which ones to prune. module must be of 2024-12-18T00:12:54.8699365Z type :class:`nn.Module`, and name must be a string. 2024-12-18T00:12:54.8699583Z pruning_method (function): a valid pruning function from this module, 2024-12-18T00:12:54.8699772Z or a custom one implemented by the user that satisfies the 2024-12-18T00:12:54.8699993Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2024-12-18T00:12:54.8700230Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2024-12-18T00:12:54.8700451Z the corresponding parameter's importance scores tensor. The tensor 2024-12-18T00:12:54.8700668Z should be the same shape as the parameter, and is used for computing 2024-12-18T00:12:54.8700795Z mask for pruning. 2024-12-18T00:12:54.8700998Z If unspecified or None, the parameter will be used in place of its 2024-12-18T00:12:54.8701136Z importance scores. 2024-12-18T00:12:54.8701259Z kwargs: other keyword arguments such as: 2024-12-18T00:12:54.8701469Z amount (int or float): quantity of parameters to prune across the 2024-12-18T00:12:54.8701574Z specified parameters. 2024-12-18T00:12:54.8701754Z If ``float``, should be between 0.0 and 1.0 and represent the 2024-12-18T00:12:54.8701951Z fraction of parameters to prune. If ``int``, it represents the 2024-12-18T00:12:54.8702077Z absolute number of parameters to prune. 2024-12-18T00:12:54.8702169Z 2024-12-18T00:12:54.8702253Z Raises: 2024-12-18T00:12:54.8702414Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2024-12-18T00:12:54.8702496Z 2024-12-18T00:12:54.8702577Z Note: 2024-12-18T00:12:54.8702798Z Since global structured pruning doesn't make much sense unless the 2024-12-18T00:12:54.8702990Z norm is normalized by the size of the parameter, we now limit the 2024-12-18T00:12:54.8703152Z scope of global pruning to unstructured methods. 2024-12-18T00:12:54.8703236Z 2024-12-18T00:12:54.8703324Z Examples: 2024-12-18T00:12:54.8703453Z >>> from torch.nn.utils import prune 2024-12-18T00:12:54.8703575Z >>> from collections import OrderedDict 2024-12-18T00:12:54.8703701Z >>> net = nn.Sequential(OrderedDict([ 2024-12-18T00:12:54.8703804Z ... ('first', nn.Linear(10, 4)), 2024-12-18T00:12:54.8703921Z ... ('second', nn.Linear(4, 1)), 2024-12-18T00:12:54.8704006Z ... ])) 2024-12-18T00:12:54.8704107Z >>> parameters_to_prune = ( 2024-12-18T00:12:54.8704220Z ... (net.first, 'weight'), 2024-12-18T00:12:54.8704318Z ... (net.second, 'weight'), 2024-12-18T00:12:54.8704411Z ... ) 2024-12-18T00:12:54.8704524Z >>> prune.global_unstructured( 2024-12-18T00:12:54.8704625Z ... parameters_to_prune, 2024-12-18T00:12:54.8704771Z ... pruning_method=prune.L1Unstructured, 2024-12-18T00:12:54.8704861Z ... amount=10, 2024-12-18T00:12:54.8704958Z ... ) 2024-12-18T00:12:54.8705175Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2024-12-18T00:12:54.8705272Z tensor(10) 2024-12-18T00:12:54.8705353Z 2024-12-18T00:12:54.8705430Z 2024-12-18T00:12:54.8705688Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8705767Z 2024-12-18T00:12:54.8705872Z warnings.warn(msg) 2024-12-18T00:12:54.8705951Z 2024-12-18T00:12:54.8706141Z --- Parse Warning: 93 / 105 --- 2024-12-18T00:12:54.8707013Z /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. 2024-12-18T00:12:54.8707272Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8707697Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2024-12-18T00:12:54.8707803Z 2024-12-18T00:12:54.8708024Z Modifies module in place (and also return the modified module) by: 2024-12-18T00:12:54.8708107Z 2024-12-18T00:12:54.8708312Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2024-12-18T00:12:54.8708541Z binary mask applied to the parameter ``name`` by the pruning method. 2024-12-18T00:12:54.8708748Z 2) replacing the parameter ``name`` by its pruned version, while the 2024-12-18T00:12:54.8708967Z original (unpruned) parameter is stored in a new parameter named 2024-12-18T00:12:54.8709062Z ``name+'_orig'``. 2024-12-18T00:12:54.8709156Z 2024-12-18T00:12:54.8709240Z Args: 2024-12-18T00:12:54.8709439Z module (nn.Module): module containing the tensor to prune 2024-12-18T00:12:54.8709629Z name (str): parameter name within ``module`` on which pruning 2024-12-18T00:12:54.8709744Z will act. 2024-12-18T00:12:54.8709931Z mask (Tensor): binary mask to be applied to the parameter. 2024-12-18T00:12:54.8710012Z 2024-12-18T00:12:54.8710096Z Returns: 2024-12-18T00:12:54.8710322Z module (nn.Module): modified (i.e. pruned) version of the input module 2024-12-18T00:12:54.8710400Z 2024-12-18T00:12:54.8710501Z Examples: 2024-12-18T00:12:54.8710622Z >>> from torch.nn.utils import prune 2024-12-18T00:12:54.8710745Z >>> m = prune.custom_from_mask( 2024-12-18T00:12:54.8710917Z ... nn.Linear(5, 3), name='bias', mask=torch.tensor([0, 1, 0]) 2024-12-18T00:12:54.8710998Z ... ) 2024-12-18T00:12:54.8711109Z >>> print(m.bias_mask) 2024-12-18T00:12:54.8711205Z tensor([0., 1., 0.]) 2024-12-18T00:12:54.8711297Z 2024-12-18T00:12:54.8711379Z 2024-12-18T00:12:54.8711627Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8711721Z 2024-12-18T00:12:54.8711817Z warnings.warn(msg) 2024-12-18T00:12:54.8711907Z 2024-12-18T00:12:54.8712092Z --- Parse Warning: 94 / 105 --- 2024-12-18T00:12:54.8712965Z /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=116. 2024-12-18T00:12:54.8713224Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8713576Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2024-12-18T00:12:54.8713672Z 2024-12-18T00:12:54.8713911Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2024-12-18T00:12:54.8714137Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2024-12-18T00:12:54.8714354Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2024-12-18T00:12:54.8714460Z (UAI 2018). 2024-12-18T00:12:54.8714542Z 2024-12-18T00:12:54.8714751Z Exponential Moving Average is a variation of `Polyak averaging`_, 2024-12-18T00:12:54.8715000Z but using exponential weights instead of equal weights across iterations. 2024-12-18T00:12:54.8715082Z 2024-12-18T00:12:54.8715325Z AveragedModel class creates a copy of the provided module :attr:`model` 2024-12-18T00:12:54.8715545Z on the device :attr:`device` and allows to compute running averages of the 2024-12-18T00:12:54.8715665Z parameters of the :attr:`model`. 2024-12-18T00:12:54.8715747Z 2024-12-18T00:12:54.8715829Z Args: 2024-12-18T00:12:54.8715994Z model (torch.nn.Module): model to use with SWA/EMA 2024-12-18T00:12:54.8716228Z device (torch.device, optional): if provided, the averaged model will be 2024-12-18T00:12:54.8716348Z stored on the :attr:`device` 2024-12-18T00:12:54.8716603Z avg_fn (function, optional): the averaging function used to update 2024-12-18T00:12:54.8716803Z parameters; the function must take in the current value of the 2024-12-18T00:12:54.8717037Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2024-12-18T00:12:54.8717230Z parameter, and the number of models already averaged; if None, 2024-12-18T00:12:54.8717397Z an equally weighted average is used (default: None) 2024-12-18T00:12:54.8717622Z multi_avg_fn (function, optional): the averaging function used to update 2024-12-18T00:12:54.8717865Z parameters inplace; the function must take in the current values of the 2024-12-18T00:12:54.8718156Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2024-12-18T00:12:54.8718389Z parameters as a list, and the number of models already averaged; if None, 2024-12-18T00:12:54.8718575Z an equally weighted average is used (default: None) 2024-12-18T00:12:54.8718775Z use_buffers (bool): if ``True``, it will compute running averages for 2024-12-18T00:12:54.8719001Z both the parameters and the buffers of the model. (default: ``False``) 2024-12-18T00:12:54.8719083Z 2024-12-18T00:12:54.8719181Z Example: 2024-12-18T00:12:54.8719312Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8719440Z >>> loader, optimizer, model, loss_fn = ... 2024-12-18T00:12:54.8719619Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2024-12-18T00:12:54.8719839Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2024-12-18T00:12:54.8719959Z >>> T_max=300) 2024-12-18T00:12:54.8720054Z >>> swa_start = 160 2024-12-18T00:12:54.8720202Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2024-12-18T00:12:54.8720336Z >>> for i in range(300): 2024-12-18T00:12:54.8720451Z >>> for input, target in loader: 2024-12-18T00:12:54.8720574Z >>> optimizer.zero_grad() 2024-12-18T00:12:54.8720708Z >>> loss_fn(model(input), target).backward() 2024-12-18T00:12:54.8720825Z >>> optimizer.step() 2024-12-18T00:12:54.8720925Z >>> if i > swa_start: 2024-12-18T00:12:54.8721059Z >>> swa_model.update_parameters(model) 2024-12-18T00:12:54.8721171Z >>> swa_scheduler.step() 2024-12-18T00:12:54.8721256Z >>> else: 2024-12-18T00:12:54.8721370Z >>> scheduler.step() 2024-12-18T00:12:54.8721537Z >>> 2024-12-18T00:12:54.8721711Z >>> # Update bn statistics for the swa_model at the end 2024-12-18T00:12:54.8721876Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2024-12-18T00:12:54.8721957Z 2024-12-18T00:12:54.8722268Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2024-12-18T00:12:54.8722465Z If no averaging function is provided, the default is to compute 2024-12-18T00:12:54.8722625Z equally-weighted average of the weights (SWA). 2024-12-18T00:12:54.8722708Z 2024-12-18T00:12:54.8722806Z Example: 2024-12-18T00:12:54.8722937Z >>> # xdoctest: +SKIP("undefined variables") 2024-12-18T00:12:54.8723141Z >>> # Compute exponential moving averages of the weights and buffers 2024-12-18T00:12:54.8723324Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2024-12-18T00:12:54.8723540Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2024-12-18T00:12:54.8723634Z 2024-12-18T00:12:54.8723729Z .. note:: 2024-12-18T00:12:54.8723955Z When using SWA/EMA with models containing Batch Normalization you may 2024-12-18T00:12:54.8724192Z need to update the activation statistics for Batch Normalization. 2024-12-18T00:12:54.8724446Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2024-12-18T00:12:54.8724675Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2024-12-18T00:12:54.8724913Z statistics in a post-training step by passing data through the model. The 2024-12-18T00:12:54.8725156Z second does it during the parameter update phase by averaging all buffers. 2024-12-18T00:12:54.8725398Z Empirical evidence has shown that updating the statistics in normalization 2024-12-18T00:12:54.8725631Z layers increases accuracy, but you may wish to empirically test which 2024-12-18T00:12:54.8725827Z approach yields the best results in your problem. 2024-12-18T00:12:54.8725906Z 2024-12-18T00:12:54.8726004Z .. note:: 2024-12-18T00:12:54.8726280Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2024-12-18T00:12:54.8726378Z 2024-12-18T00:12:54.8726468Z .. note:: 2024-12-18T00:12:54.8726678Z When :meth:`update_parameters` is called for the first time (i.e. 2024-12-18T00:12:54.8726922Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2024-12-18T00:12:54.8727120Z to the parameters of :class:`AveragedModel`. For every subsequent 2024-12-18T00:12:54.8727319Z call of :meth:`update_parameters` the function `avg_fn` is used 2024-12-18T00:12:54.8727432Z to update the parameters. 2024-12-18T00:12:54.8727524Z 2024-12-18T00:12:54.8727748Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-12-18T00:12:54.8727882Z https://arxiv.org/abs/1803.05407 2024-12-18T00:12:54.8728115Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2024-12-18T00:12:54.8728202Z Average: 2024-12-18T00:12:54.8728330Z https://arxiv.org/abs/1806.05594 2024-12-18T00:12:54.8728529Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2024-12-18T00:12:54.8728651Z https://arxiv.org/abs/1904.11943 2024-12-18T00:12:54.8728873Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2024-12-18T00:12:54.8728968Z Generalizes Well: 2024-12-18T00:12:54.8729094Z https://arxiv.org/abs/2001.02312 2024-12-18T00:12:54.8729192Z .. _Polyak averaging: 2024-12-18T00:12:54.8729376Z https://paperswithcode.com/method/polyak-averaging 2024-12-18T00:12:54.8729460Z 2024-12-18T00:12:54.8729714Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8729795Z 2024-12-18T00:12:54.8729890Z warnings.warn(msg) 2024-12-18T00:12:54.8729983Z 2024-12-18T00:12:54.8730189Z --- Parse Warning: 95 / 105 --- 2024-12-18T00:12:54.8731023Z /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=368. 2024-12-18T00:12:54.8731289Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8731509Z Anneals the learning rate in each parameter group to a fixed value. 2024-12-18T00:12:54.8731591Z 2024-12-18T00:12:54.8731816Z This learning rate scheduler is meant to be used with Stochastic Weight 2024-12-18T00:12:54.8732036Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2024-12-18T00:12:54.8732118Z 2024-12-18T00:12:54.8732215Z Args: 2024-12-18T00:12:54.8732389Z optimizer (torch.optim.Optimizer): wrapped optimizer 2024-12-18T00:12:54.8732590Z swa_lrs (float or list): the learning rate value for all param groups 2024-12-18T00:12:54.8732730Z together or separately for each group. 2024-12-18T00:12:54.8732958Z annealing_epochs (int): number of epochs in the annealing phase 2024-12-18T00:12:54.8733085Z (default: 10) 2024-12-18T00:12:54.8733298Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2024-12-18T00:12:54.8733516Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2024-12-18T00:12:54.8733612Z (default: "cos") 2024-12-18T00:12:54.8733786Z last_epoch (int): the index of the last epoch (default: -1) 2024-12-18T00:12:54.8733876Z 2024-12-18T00:12:54.8734062Z The :class:`SWALR` scheduler can be used together with other 2024-12-18T00:12:54.8734282Z schedulers to switch to a constant learning rate late in the training 2024-12-18T00:12:54.8734409Z as in the example below. 2024-12-18T00:12:54.8734496Z 2024-12-18T00:12:54.8734580Z Example: 2024-12-18T00:12:54.8734735Z >>> # xdoctest: +SKIP("Undefined variables") 2024-12-18T00:12:54.8734861Z >>> loader, optimizer, model = ... 2024-12-18T00:12:54.8734975Z >>> lr_lambda = lambda epoch: 0.9 2024-12-18T00:12:54.8735202Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2024-12-18T00:12:54.8735309Z >>> lr_lambda=lr_lambda) 2024-12-18T00:12:54.8735487Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2024-12-18T00:12:54.8735666Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2024-12-18T00:12:54.8735757Z >>> swa_start = 160 2024-12-18T00:12:54.8735863Z >>> for i in range(300): 2024-12-18T00:12:54.8735977Z >>> for input, target in loader: 2024-12-18T00:12:54.8736100Z >>> optimizer.zero_grad() 2024-12-18T00:12:54.8736237Z >>> loss_fn(model(input), target).backward() 2024-12-18T00:12:54.8736341Z >>> optimizer.step() 2024-12-18T00:12:54.8736450Z >>> if i > swa_start: 2024-12-18T00:12:54.8736561Z >>> swa_scheduler.step() 2024-12-18T00:12:54.8736655Z >>> else: 2024-12-18T00:12:54.8736761Z >>> scheduler.step() 2024-12-18T00:12:54.8736850Z 2024-12-18T00:12:54.8737071Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2024-12-18T00:12:54.8737186Z https://arxiv.org/abs/1803.05407 2024-12-18T00:12:54.8737280Z 2024-12-18T00:12:54.8737527Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8737613Z 2024-12-18T00:12:54.8737710Z warnings.warn(msg) 2024-12-18T00:12:54.8737787Z 2024-12-18T00:12:54.8737985Z --- Parse Warning: 96 / 105 --- 2024-12-18T00:12:54.8738854Z /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. 2024-12-18T00:12:54.8739131Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8739280Z Asserts that ``actual`` and ``expected`` are close. 2024-12-18T00:12:54.8739371Z 2024-12-18T00:12:54.8739731Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2024-12-18T00:12:54.8739809Z 2024-12-18T00:12:54.8739907Z .. math:: 2024-12-18T00:12:54.8739983Z 2024-12-18T00:12:54.8740349Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2024-12-18T00:12:54.8740431Z 2024-12-18T00:12:54.8740773Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2024-12-18T00:12:54.8740973Z only considered equal to each other if ``equal_nan`` is ``True``. 2024-12-18T00:12:54.8741052Z 2024-12-18T00:12:54.8741283Z In addition, they are only considered close if they have the same 2024-12-18T00:12:54.8741387Z 2024-12-18T00:12:54.8741590Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2024-12-18T00:12:54.8741721Z - ``dtype`` (if ``check_dtype`` is ``True``), 2024-12-18T00:12:54.8741871Z - ``layout`` (if ``check_layout`` is ``True``), and 2024-12-18T00:12:54.8741994Z - stride (if ``check_stride`` is ``True``). 2024-12-18T00:12:54.8742068Z 2024-12-18T00:12:54.8742374Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2024-12-18T00:12:54.8742454Z 2024-12-18T00:12:54.8742835Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2024-12-18T00:12:54.8743205Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2024-12-18T00:12:54.8743465Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2024-12-18T00:12:54.8743846Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2024-12-18T00:12:54.8743925Z 2024-12-18T00:12:54.8744210Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2024-12-18T00:12:54.8744557Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2024-12-18T00:12:54.8744665Z definition above. 2024-12-18T00:12:54.8744745Z 2024-12-18T00:12:54.8745047Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2024-12-18T00:12:54.8745414Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2024-12-18T00:12:54.8745772Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2024-12-18T00:12:54.8746159Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2024-12-18T00:12:54.8746390Z their elements are considered close according to the above definition. 2024-12-18T00:12:54.8746481Z 2024-12-18T00:12:54.8746568Z .. note:: 2024-12-18T00:12:54.8746655Z 2024-12-18T00:12:54.8746981Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2024-12-18T00:12:54.8747298Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2024-12-18T00:12:54.8747583Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2024-12-18T00:12:54.8747667Z 2024-12-18T00:12:54.8747761Z Args: 2024-12-18T00:12:54.8747868Z actual (Any): Actual input. 2024-12-18T00:12:54.8747992Z expected (Any): Expected input. 2024-12-18T00:12:54.8748349Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2024-12-18T00:12:54.8748509Z are allowed. Otherwise type equality is required. 2024-12-18T00:12:54.8748875Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2024-12-18T00:12:54.8749140Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-12-18T00:12:54.8749502Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2024-12-18T00:12:54.8749760Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2024-12-18T00:12:54.8750011Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2024-12-18T00:12:54.8750293Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2024-12-18T00:12:54.8750602Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2024-12-18T00:12:54.8750836Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2024-12-18T00:12:54.8751179Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2024-12-18T00:12:54.8751527Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2024-12-18T00:12:54.8751686Z :func:`torch.promote_types`) before being compared. 2024-12-18T00:12:54.8752067Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2024-12-18T00:12:54.8752398Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2024-12-18T00:12:54.8752526Z compared. 2024-12-18T00:12:54.8752885Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2024-12-18T00:12:54.8753242Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2024-12-18T00:12:54.8753587Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2024-12-18T00:12:54.8753700Z should return the new message. 2024-12-18T00:12:54.8753790Z 2024-12-18T00:12:54.8753874Z Raises: 2024-12-18T00:12:54.8754110Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2024-12-18T00:12:54.8754275Z ValueError: If only ``rtol`` or ``atol`` is specified. 2024-12-18T00:12:54.8754604Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2024-12-18T00:12:54.8754962Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2024-12-18T00:12:54.8755062Z different types. 2024-12-18T00:12:54.8755424Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2024-12-18T00:12:54.8755780Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2024-12-18T00:12:54.8756098Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2024-12-18T00:12:54.8756391Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2024-12-18T00:12:54.8756521Z :attr:`~torch.Tensor.layout`. 2024-12-18T00:12:54.8756741Z AssertionError: If only one of corresponding tensors is quantized. 2024-12-18T00:12:54.8757136Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2024-12-18T00:12:54.8757432Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2024-12-18T00:12:54.8757552Z :attr:`~torch.Tensor.device`. 2024-12-18T00:12:54.8757894Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2024-12-18T00:12:54.8758440Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2024-12-18T00:12:54.8758816Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2024-12-18T00:12:54.8758899Z 2024-12-18T00:12:54.8759276Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2024-12-18T00:12:54.8759431Z ``dtype``'s, the maximum of both tolerances is used. 2024-12-18T00:12:54.8759517Z 2024-12-18T00:12:54.8759726Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8759909Z | ``dtype`` | ``rtol`` | ``atol`` | 2024-12-18T00:12:54.8760035Z +===========================+============+==========+ 2024-12-18T00:12:54.8760173Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2024-12-18T00:12:54.8760313Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8760452Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2024-12-18T00:12:54.8760577Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8760726Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8760849Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8761030Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2024-12-18T00:12:54.8761156Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8761346Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2024-12-18T00:12:54.8761547Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8761685Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8761823Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8761961Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2024-12-18T00:12:54.8762099Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8762233Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8762369Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8762502Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8762626Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8762775Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8762896Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8763049Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8763169Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8763313Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2024-12-18T00:12:54.8763433Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8763554Z | other | ``0.0`` | ``0.0`` | 2024-12-18T00:12:54.8763688Z +---------------------------+------------+----------+ 2024-12-18T00:12:54.8763772Z 2024-12-18T00:12:54.8763878Z .. note:: 2024-12-18T00:12:54.8763959Z 2024-12-18T00:12:54.8764340Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2024-12-18T00:12:54.8764703Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2024-12-18T00:12:54.8764965Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2024-12-18T00:12:54.8765061Z 2024-12-18T00:12:54.8765160Z >>> import functools 2024-12-18T00:12:54.8765428Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2024-12-18T00:12:54.8765533Z >>> assert_equal(1e-9, 1e-10) 2024-12-18T00:12:54.8765664Z Traceback (most recent call last): 2024-12-18T00:12:54.8765745Z ... 2024-12-18T00:12:54.8765874Z AssertionError: Scalars are not equal! 2024-12-18T00:12:54.8765975Z 2024-12-18T00:12:54.8766083Z Expected 1e-10 but got 1e-09. 2024-12-18T00:12:54.8766226Z Absolute difference: 9.000000000000001e-10 2024-12-18T00:12:54.8766333Z Relative difference: 9.0 2024-12-18T00:12:54.8766413Z 2024-12-18T00:12:54.8766512Z Examples: 2024-12-18T00:12:54.8766633Z >>> # tensor to tensor comparison 2024-12-18T00:12:54.8766835Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2024-12-18T00:12:54.8766969Z >>> actual = torch.acos(torch.cos(expected)) 2024-12-18T00:12:54.8767115Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8767205Z 2024-12-18T00:12:54.8767321Z >>> # scalar to scalar comparison 2024-12-18T00:12:54.8767428Z >>> import math 2024-12-18T00:12:54.8767537Z >>> expected = math.sqrt(2.0) 2024-12-18T00:12:54.8767654Z >>> actual = 2.0 / math.sqrt(2.0) 2024-12-18T00:12:54.8767796Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8767878Z 2024-12-18T00:12:54.8768017Z >>> # numpy array to numpy array comparison 2024-12-18T00:12:54.8768146Z >>> import numpy as np 2024-12-18T00:12:54.8768283Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2024-12-18T00:12:54.8768433Z >>> actual = np.arccos(np.cos(expected)) 2024-12-18T00:12:54.8768578Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8768673Z 2024-12-18T00:12:54.8768793Z >>> # sequence to sequence comparison 2024-12-18T00:12:54.8768904Z >>> import numpy as np 2024-12-18T00:12:54.8769153Z >>> # The types of the sequences do not have to match. They only have to have the same 2024-12-18T00:12:54.8769295Z >>> # length and their elements have to match. 2024-12-18T00:12:54.8769452Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2024-12-18T00:12:54.8769560Z >>> actual = tuple(expected) 2024-12-18T00:12:54.8769715Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8769796Z 2024-12-18T00:12:54.8769928Z >>> # mapping to mapping comparison 2024-12-18T00:12:54.8770052Z >>> from collections import OrderedDict 2024-12-18T00:12:54.8770166Z >>> import numpy as np 2024-12-18T00:12:54.8770271Z >>> foo = torch.tensor(1.0) 2024-12-18T00:12:54.8770366Z >>> bar = 2.0 2024-12-18T00:12:54.8770476Z >>> baz = np.array(3.0) 2024-12-18T00:12:54.8770730Z >>> # The types and a possible ordering of mappings do not have to match. They only 2024-12-18T00:12:54.8770943Z >>> # have to have the same set of keys and their elements have to match. 2024-12-18T00:12:54.8771145Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2024-12-18T00:12:54.8771282Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2024-12-18T00:12:54.8771435Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8771518Z 2024-12-18T00:12:54.8771652Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-12-18T00:12:54.8771766Z >>> actual = expected.clone() 2024-12-18T00:12:54.8771944Z >>> # By default, directly related instances can be compared 2024-12-18T00:12:54.8772165Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2024-12-18T00:12:54.8772361Z >>> # This check can be made more strict with allow_subclasses=False 2024-12-18T00:12:54.8772487Z >>> torch.testing.assert_close( 2024-12-18T00:12:54.8772686Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2024-12-18T00:12:54.8772780Z ... ) 2024-12-18T00:12:54.8772897Z Traceback (most recent call last): 2024-12-18T00:12:54.8772990Z ... 2024-12-18T00:12:54.8773193Z TypeError: No comparison pair was able to handle inputs of type 2024-12-18T00:12:54.8773410Z and . 2024-12-18T00:12:54.8773642Z >>> # If the inputs are not directly related, they are never considered close 2024-12-18T00:12:54.8773813Z >>> torch.testing.assert_close(actual.numpy(), expected) 2024-12-18T00:12:54.8773946Z Traceback (most recent call last): 2024-12-18T00:12:54.8774062Z ... 2024-12-18T00:12:54.8774384Z TypeError: No comparison pair was able to handle inputs of type 2024-12-18T00:12:54.8774492Z and . 2024-12-18T00:12:54.8774753Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2024-12-18T00:12:54.8774883Z >>> # their type if check_dtype=False. 2024-12-18T00:12:54.8775053Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2024-12-18T00:12:54.8775148Z 2024-12-18T00:12:54.8775252Z >>> # NaN != NaN by default. 2024-12-18T00:12:54.8775378Z >>> expected = torch.tensor(float("Nan")) 2024-12-18T00:12:54.8775499Z >>> actual = expected.clone() 2024-12-18T00:12:54.8775673Z >>> torch.testing.assert_close(actual, expected) 2024-12-18T00:12:54.8775803Z Traceback (most recent call last): 2024-12-18T00:12:54.8775915Z ... 2024-12-18T00:12:54.8776055Z AssertionError: Scalars are not close! 2024-12-18T00:12:54.8776149Z 2024-12-18T00:12:54.8776255Z Expected nan but got nan. 2024-12-18T00:12:54.8776409Z Absolute difference: nan (up to 1e-05 allowed) 2024-12-18T00:12:54.8776559Z Relative difference: nan (up to 1.3e-06 allowed) 2024-12-18T00:12:54.8776768Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2024-12-18T00:12:54.8776851Z 2024-12-18T00:12:54.8776986Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2024-12-18T00:12:54.8777106Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2024-12-18T00:12:54.8777251Z >>> # The default error message can be overwritten. 2024-12-18T00:12:54.8777554Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2024-12-18T00:12:54.8777672Z Traceback (most recent call last): 2024-12-18T00:12:54.8777767Z ... 2024-12-18T00:12:54.8777920Z AssertionError: Argh, the tensors are not close! 2024-12-18T00:12:54.8778140Z >>> # If msg is a callable, it can be used to augment the generated message with 2024-12-18T00:12:54.8778251Z >>> # extra information 2024-12-18T00:12:54.8778366Z >>> torch.testing.assert_close( 2024-12-18T00:12:54.8778573Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2024-12-18T00:12:54.8778658Z ... ) 2024-12-18T00:12:54.8778784Z Traceback (most recent call last): 2024-12-18T00:12:54.8778870Z ... 2024-12-18T00:12:54.8778975Z AssertionError: Header 2024-12-18T00:12:54.8779079Z 2024-12-18T00:12:54.8779190Z Tensor-likes are not close! 2024-12-18T00:12:54.8779293Z 2024-12-18T00:12:54.8779408Z Mismatched elements: 2 / 3 (66.7%) 2024-12-18T00:12:54.8779633Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2024-12-18T00:12:54.8779876Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2024-12-18T00:12:54.8779968Z 2024-12-18T00:12:54.8780065Z Footer 2024-12-18T00:12:54.8780151Z 2024-12-18T00:12:54.8780413Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8780497Z 2024-12-18T00:12:54.8780595Z warnings.warn(msg) 2024-12-18T00:12:54.8780688Z 2024-12-18T00:12:54.8780915Z --- Parse Warning: 97 / 105 --- 2024-12-18T00:12:54.8781831Z /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=110. 2024-12-18T00:12:54.8782092Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8782250Z Register a container-like type as pytree node. 2024-12-18T00:12:54.8782390Z 2024-12-18T00:12:54.8782478Z Args: 2024-12-18T00:12:54.8782676Z cls (type): A Python type to treat as an internal pytree node. 2024-12-18T00:12:54.8782944Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2024-12-18T00:12:54.8783201Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2024-12-18T00:12:54.8783490Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2024-12-18T00:12:54.8783624Z passed to the ``unflatten_fn``. 2024-12-18T00:12:54.8783898Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2024-12-18T00:12:54.8784184Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2024-12-18T00:12:54.8784388Z The function should return an instance of ``cls``. 2024-12-18T00:12:54.8784657Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2024-12-18T00:12:54.8784833Z qualified name used when serializing the tree spec. 2024-12-18T00:12:54.8785137Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2024-12-18T00:12:54.8785423Z to convert the context of the pytree to a custom json dumpable representation. This is 2024-12-18T00:12:54.8785695Z used for json serialization, which is being used in :mod:`torch.export` right now. 2024-12-18T00:12:54.8786007Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2024-12-18T00:12:54.8786270Z how to convert the custom json dumpable representation of the context back to the 2024-12-18T00:12:54.8786527Z original context. This is used for json deserialization, which is being used in 2024-12-18T00:12:54.8786663Z :mod:`torch.export` right now. 2024-12-18T00:12:54.8786751Z 2024-12-18T00:12:54.8786859Z Example:: 2024-12-18T00:12:54.8786941Z 2024-12-18T00:12:54.8787042Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8787198Z >>> # Registry a Python type with lambda functions 2024-12-18T00:12:54.8787306Z >>> register_pytree_node( 2024-12-18T00:12:54.8787408Z ... set, 2024-12-18T00:12:54.8787534Z ... lambda s: (sorted(s), None, None), 2024-12-18T00:12:54.8787672Z ... lambda children, _: set(children), 2024-12-18T00:12:54.8787758Z ... ) 2024-12-18T00:12:54.8787842Z 2024-12-18T00:12:54.8788103Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8788190Z 2024-12-18T00:12:54.8788302Z warnings.warn(msg) 2024-12-18T00:12:54.8788386Z 2024-12-18T00:12:54.8788586Z --- Parse Warning: 98 / 105 --- 2024-12-18T00:12:54.8789552Z /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. 2024-12-18T00:12:54.8789817Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8789912Z 2024-12-18T00:12:54.8790129Z Context passed to policy function during selective checkpointing. 2024-12-18T00:12:54.8790222Z 2024-12-18T00:12:54.8790449Z This class is used to pass relevant metadata to the policy function during 2024-12-18T00:12:54.8790714Z selective checkpointing. The metadata includes whether the current invocation 2024-12-18T00:12:54.8790889Z of the policy function is during recomputation or not. 2024-12-18T00:12:54.8790974Z 2024-12-18T00:12:54.8791070Z Example: 2024-12-18T00:12:54.8791178Z >>> # xdoctest: +SKIP(stub) 2024-12-18T00:12:54.8791276Z >>> 2024-12-18T00:12:54.8791472Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-12-18T00:12:54.8791583Z >>> print(ctx.is_recompute) 2024-12-18T00:12:54.8791678Z >>> 2024-12-18T00:12:54.8791950Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-12-18T00:12:54.8792049Z >>> 2024-12-18T00:12:54.8792191Z >>> out = torch.utils.checkpoint.checkpoint( 2024-12-18T00:12:54.8792282Z >>> fn, x, y, 2024-12-18T00:12:54.8792400Z >>> use_reentrant=False, 2024-12-18T00:12:54.8792505Z >>> context_fn=context_fn, 2024-12-18T00:12:54.8792603Z >>> ) 2024-12-18T00:12:54.8792685Z 2024-12-18T00:12:54.8792946Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8793054Z 2024-12-18T00:12:54.8793152Z warnings.warn(msg) 2024-12-18T00:12:54.8793243Z 2024-12-18T00:12:54.8793521Z --- Parse Warning: 99 / 105 --- 2024-12-18T00:12:54.8794498Z /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. 2024-12-18T00:12:54.8794760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8794841Z 2024-12-18T00:12:54.8795091Z Helper to avoid recomputing certain ops during activation checkpointing. 2024-12-18T00:12:54.8795173Z 2024-12-18T00:12:54.8795398Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2024-12-18T00:12:54.8795560Z operations are recomputed during the backward pass. 2024-12-18T00:12:54.8795652Z 2024-12-18T00:12:54.8795736Z Args: 2024-12-18T00:12:54.8795860Z policy_fn_or_list (Callable or List): 2024-12-18T00:12:54.8796038Z - If a policy function is provided, it should accept a 2024-12-18T00:12:54.8796283Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2024-12-18T00:12:54.8796499Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2024-12-18T00:12:54.8796741Z indicating whether the execution of the op should be recomputed or not. 2024-12-18T00:12:54.8796951Z - If a list of operations is provided, it is equivalent to a policy 2024-12-18T00:12:54.8797135Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2024-12-18T00:12:54.8797352Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2024-12-18T00:12:54.8797455Z operations. 2024-12-18T00:12:54.8797669Z allow_cache_entry_mutation (bool, optional): By default, an error is 2024-12-18T00:12:54.8797895Z raised if any tensors cached by selective activation checkpoint are 2024-12-18T00:12:54.8798101Z mutated in order to ensure correctness. If set to `True`, this check 2024-12-18T00:12:54.8798205Z is disabled. 2024-12-18T00:12:54.8798295Z Returns: 2024-12-18T00:12:54.8798407Z A tuple of two context managers. 2024-12-18T00:12:54.8798501Z 2024-12-18T00:12:54.8798587Z Example: 2024-12-18T00:12:54.8798712Z >>> # xdoctest: +REQUIRES(LINUX) 2024-12-18T00:12:54.8798808Z >>> import functools 2024-12-18T00:12:54.8798892Z >>> 2024-12-18T00:12:54.8799033Z >>> x = torch.rand(10, 10, requires_grad=True) 2024-12-18T00:12:54.8799156Z >>> y = torch.rand(10, 10, requires_grad=True) 2024-12-18T00:12:54.8799250Z >>> 2024-12-18T00:12:54.8799342Z >>> ops_to_save = [ 2024-12-18T00:12:54.8799456Z >>> torch.ops.aten.mm.default, 2024-12-18T00:12:54.8799553Z >>> ] 2024-12-18T00:12:54.8799637Z >>> 2024-12-18T00:12:54.8799779Z >>> def policy_fn(ctx, op, *args, **kwargs): 2024-12-18T00:12:54.8799876Z >>> if op in ops_to_save: 2024-12-18T00:12:54.8800017Z >>> return CheckpointPolicy.MUST_SAVE 2024-12-18T00:12:54.8800132Z >>> else: 2024-12-18T00:12:54.8800300Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2024-12-18T00:12:54.8800395Z >>> 2024-12-18T00:12:54.8800667Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2024-12-18T00:12:54.8800761Z >>> 2024-12-18T00:12:54.8800859Z >>> # or equivalently 2024-12-18T00:12:54.8801128Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2024-12-18T00:12:54.8801224Z >>> 2024-12-18T00:12:54.8801316Z >>> def fn(x, y): 2024-12-18T00:12:54.8801615Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2024-12-18T00:12:54.8801703Z >>> 2024-12-18T00:12:54.8801890Z >>> out = torch.utils.checkpoint.checkpoint( 2024-12-18T00:12:54.8801985Z >>> fn, x, y, 2024-12-18T00:12:54.8802087Z >>> use_reentrant=False, 2024-12-18T00:12:54.8802238Z >>> context_fn=context_fn, 2024-12-18T00:12:54.8802325Z >>> ) 2024-12-18T00:12:54.8802422Z 2024-12-18T00:12:54.8802673Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8802755Z 2024-12-18T00:12:54.8802868Z warnings.warn(msg) 2024-12-18T00:12:54.8802946Z 2024-12-18T00:12:54.8803159Z --- Parse Warning: 100 / 105 --- 2024-12-18T00:12:54.8804041Z /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=957. 2024-12-18T00:12:54.8804313Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8804395Z 2024-12-18T00:12:54.8804543Z Create a :class:`setuptools.Extension` for C++. 2024-12-18T00:12:54.8804643Z 2024-12-18T00:12:54.8804885Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-12-18T00:12:54.8805124Z bare minimum (but often sufficient) arguments to build a C++ extension. 2024-12-18T00:12:54.8805207Z 2024-12-18T00:12:54.8805410Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-12-18T00:12:54.8805574Z constructor. Full list arguments can be found at 2024-12-18T00:12:54.8805895Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-12-18T00:12:54.8805986Z 2024-12-18T00:12:54.8806075Z .. note:: 2024-12-18T00:12:54.8806313Z The PyTorch python API (as provided in libtorch_python) cannot be built 2024-12-18T00:12:54.8806522Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2024-12-18T00:12:54.8806716Z the user's responsibility in their library to not use APIs from 2024-12-18T00:12:54.8806957Z libtorch_python (in particular pytorch/python bindings) and to only use 2024-12-18T00:12:54.8807169Z APIs from libtorch (aten objects, operators and the dispatcher). For 2024-12-18T00:12:54.8807396Z example, to give access to custom ops from python, the library should 2024-12-18T00:12:54.8807526Z register the ops through the dispatcher. 2024-12-18T00:12:54.8807621Z 2024-12-18T00:12:54.8807709Z Example: 2024-12-18T00:12:54.8807808Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8807971Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:54.8808084Z >>> from setuptools import setup 2024-12-18T00:12:54.8808312Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2024-12-18T00:12:54.8808400Z >>> setup( 2024-12-18T00:12:54.8808499Z ... name='extension', 2024-12-18T00:12:54.8808606Z ... ext_modules=[ 2024-12-18T00:12:54.8808704Z ... CppExtension( 2024-12-18T00:12:54.8808820Z ... name='extension', 2024-12-18T00:12:54.8808943Z ... sources=['extension.cpp'], 2024-12-18T00:12:54.8809074Z ... extra_compile_args=['-g'], 2024-12-18T00:12:54.8809282Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2024-12-18T00:12:54.8809366Z ... ], 2024-12-18T00:12:54.8809471Z ... cmdclass={ 2024-12-18T00:12:54.8809585Z ... 'build_ext': BuildExtension 2024-12-18T00:12:54.8809684Z ... }) 2024-12-18T00:12:54.8809765Z 2024-12-18T00:12:54.8810018Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8810113Z 2024-12-18T00:12:54.8810208Z warnings.warn(msg) 2024-12-18T00:12:54.8810303Z 2024-12-18T00:12:54.8810492Z --- Parse Warning: 101 / 105 --- 2024-12-18T00:12:54.8811424Z /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=1019. 2024-12-18T00:12:54.8811714Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8811798Z 2024-12-18T00:12:54.8811972Z Create a :class:`setuptools.Extension` for CUDA/C++. 2024-12-18T00:12:54.8812058Z 2024-12-18T00:12:54.8812309Z Convenience method that creates a :class:`setuptools.Extension` with the 2024-12-18T00:12:54.8812508Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2024-12-18T00:12:54.8812751Z extension. This includes the CUDA include path, library path and runtime 2024-12-18T00:12:54.8812841Z library. 2024-12-18T00:12:54.8812922Z 2024-12-18T00:12:54.8813140Z All arguments are forwarded to the :class:`setuptools.Extension` 2024-12-18T00:12:54.8813288Z constructor. Full list arguments can be found at 2024-12-18T00:12:54.8813627Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2024-12-18T00:12:54.8813712Z 2024-12-18T00:12:54.8813798Z .. note:: 2024-12-18T00:12:54.8814040Z The PyTorch python API (as provided in libtorch_python) cannot be built 2024-12-18T00:12:54.8814245Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2024-12-18T00:12:54.8814452Z the user's responsibility in their library to not use APIs from 2024-12-18T00:12:54.8814679Z libtorch_python (in particular pytorch/python bindings) and to only use 2024-12-18T00:12:54.8814915Z APIs from libtorch (aten objects, operators and the dispatcher). For 2024-12-18T00:12:54.8815126Z example, to give access to custom ops from python, the library should 2024-12-18T00:12:54.8815253Z register the ops through the dispatcher. 2024-12-18T00:12:54.8815346Z 2024-12-18T00:12:54.8815429Z Example: 2024-12-18T00:12:54.8815539Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8815687Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:54.8815811Z >>> from setuptools import setup 2024-12-18T00:12:54.8816041Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2024-12-18T00:12:54.8816134Z >>> setup( 2024-12-18T00:12:54.8816253Z ... name='cuda_extension', 2024-12-18T00:12:54.8816351Z ... ext_modules=[ 2024-12-18T00:12:54.8816465Z ... CUDAExtension( 2024-12-18T00:12:54.8816583Z ... name='cuda_extension', 2024-12-18T00:12:54.8816749Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:54.8816892Z ... extra_compile_args={'cxx': ['-g'], 2024-12-18T00:12:54.8817018Z ... 'nvcc': ['-O2']}, 2024-12-18T00:12:54.8817193Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2024-12-18T00:12:54.8817282Z ... ], 2024-12-18T00:12:54.8817391Z ... cmdclass={ 2024-12-18T00:12:54.8817510Z ... 'build_ext': BuildExtension 2024-12-18T00:12:54.8817599Z ... }) 2024-12-18T00:12:54.8817729Z 2024-12-18T00:12:54.8817856Z Compute capabilities: 2024-12-18T00:12:54.8817955Z 2024-12-18T00:12:54.8818254Z By default the extension will be compiled to run on all archs of the cards visible during the 2024-12-18T00:12:54.8818558Z building process of the extension, plus PTX. If down the road a new card is installed the 2024-12-18T00:12:54.8818850Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2024-12-18T00:12:54.8819155Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2024-12-18T00:12:54.8819452Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2024-12-18T00:12:54.8820016Z support (see below for details on PTX). 2024-12-18T00:12:54.8820117Z 2024-12-18T00:12:54.8820427Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2024-12-18T00:12:54.8820602Z CCs you want the extension to support: 2024-12-18T00:12:54.8820690Z 2024-12-18T00:12:54.8820878Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2024-12-18T00:12:54.8821128Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2024-12-18T00:12:54.8821212Z 2024-12-18T00:12:54.8821541Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2024-12-18T00:12:54.8821856Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2024-12-18T00:12:54.8822174Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2024-12-18T00:12:54.8822469Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2024-12-18T00:12:54.8822790Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2024-12-18T00:12:54.8823075Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2024-12-18T00:12:54.8823398Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2024-12-18T00:12:54.8823724Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2024-12-18T00:12:54.8823829Z "8.0 8.6" would be better. 2024-12-18T00:12:54.8823929Z 2024-12-18T00:12:54.8824225Z Note that while it's possible to include all supported archs, the more archs get included the 2024-12-18T00:12:54.8824513Z slower the building process will be, as it will build a separate kernel image for each arch. 2024-12-18T00:12:54.8824605Z 2024-12-18T00:12:54.8824929Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2024-12-18T00:12:54.8825158Z To workaround the issue, move python binding logic to pure C++ file. 2024-12-18T00:12:54.8825244Z 2024-12-18T00:12:54.8825347Z Example use: 2024-12-18T00:12:54.8825444Z #include 2024-12-18T00:12:54.8825603Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2024-12-18T00:12:54.8825695Z 2024-12-18T00:12:54.8825784Z Instead of: 2024-12-18T00:12:54.8825903Z #include 2024-12-18T00:12:54.8826060Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2024-12-18T00:12:54.8826142Z 2024-12-18T00:12:54.8826425Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2024-12-18T00:12:54.8826924Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2024-12-18T00:12:54.8827022Z 2024-12-18T00:12:54.8827131Z Relocatable device code linking: 2024-12-18T00:12:54.8827223Z 2024-12-18T00:12:54.8827501Z If you want to reference device symbols across compilation units (across object files), 2024-12-18T00:12:54.8827755Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2024-12-18T00:12:54.8828173Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2024-12-18T00:12:54.8828502Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2024-12-18T00:12:54.8828831Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2024-12-18T00:12:54.8829012Z helps reduce the protentional perf degradation of `-rdc`. 2024-12-18T00:12:54.8829197Z Note that it needs to be used at both steps to be useful. 2024-12-18T00:12:54.8829280Z 2024-12-18T00:12:54.8829646Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2024-12-18T00:12:54.8829859Z There is also a case where `-dlink` is used without `-rdc`: 2024-12-18T00:12:54.8830115Z when an extension is linked against a static lib containing rdc-compiled objects 2024-12-18T00:12:54.8830370Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2024-12-18T00:12:54.8830457Z 2024-12-18T00:12:54.8830670Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2024-12-18T00:12:54.8830752Z 2024-12-18T00:12:54.8830840Z Example: 2024-12-18T00:12:54.8830951Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8831101Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:54.8831213Z >>> CUDAExtension( 2024-12-18T00:12:54.8831322Z ... name='cuda_extension', 2024-12-18T00:12:54.8831481Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:54.8831586Z ... dlink=True, 2024-12-18T00:12:54.8831707Z ... dlink_libraries=["dlink_lib"], 2024-12-18T00:12:54.8831847Z ... extra_compile_args={'cxx': ['-g'], 2024-12-18T00:12:54.8831974Z ... 'nvcc': ['-O2', '-rdc=true']}) 2024-12-18T00:12:54.8832074Z 2024-12-18T00:12:54.8832329Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8832412Z 2024-12-18T00:12:54.8832524Z warnings.warn(msg) 2024-12-18T00:12:54.8832605Z 2024-12-18T00:12:54.8832829Z --- Parse Warning: 102 / 105 --- 2024-12-18T00:12:54.8833678Z /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=1300. 2024-12-18T00:12:54.8833956Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8834040Z 2024-12-18T00:12:54.8834187Z Load a PyTorch C++ extension just-in-time (JIT). 2024-12-18T00:12:54.8834289Z 2024-12-18T00:12:54.8834498Z To load an extension, a Ninja build file is emitted, which is used to 2024-12-18T00:12:54.8834719Z compile the given sources into a dynamic library. This library is 2024-12-18T00:12:54.8834945Z subsequently loaded into the current Python process as a module and 2024-12-18T00:12:54.8835093Z returned from this function, ready for use. 2024-12-18T00:12:54.8835177Z 2024-12-18T00:12:54.8835385Z By default, the directory to which the build file is emitted and the 2024-12-18T00:12:54.8835629Z resulting library compiled to is ``/torch_extensions/``, where 2024-12-18T00:12:54.8835832Z ```` is the temporary folder on the current platform and ```` 2024-12-18T00:12:54.8836060Z the name of the extension. This location can be overridden in two ways. 2024-12-18T00:12:54.8836265Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2024-12-18T00:12:54.8836485Z replaces ``/torch_extensions`` and all extensions will be compiled 2024-12-18T00:12:54.8836711Z into subfolders of this directory. Second, if the ``build_directory`` 2024-12-18T00:12:54.8836944Z argument to this function is supplied, it overrides the entire path, i.e. 2024-12-18T00:12:54.8837175Z the library will be compiled into that folder directly. 2024-12-18T00:12:54.8837259Z 2024-12-18T00:12:54.8837481Z To compile the sources, the default system compiler (``c++``) is used, 2024-12-18T00:12:54.8837717Z which can be overridden by setting the ``CXX`` environment variable. To pass 2024-12-18T00:12:54.8837939Z additional arguments to the compilation process, ``extra_cflags`` or 2024-12-18T00:12:54.8838170Z ``extra_ldflags`` can be provided. For example, to compile your extension 2024-12-18T00:12:54.8838379Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2024-12-18T00:12:54.8838547Z ``extra_cflags`` to pass further include directories. 2024-12-18T00:12:54.8838630Z 2024-12-18T00:12:54.8838906Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2024-12-18T00:12:54.8839091Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2024-12-18T00:12:54.8839359Z detected and compiled with nvcc rather than the C++ compiler. This includes 2024-12-18T00:12:54.8839583Z passing the CUDA lib64 directory as a library directory, and linking 2024-12-18T00:12:54.8839734Z ``cudart``. You can pass additional flags to nvcc via 2024-12-18T00:12:54.8839950Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2024-12-18T00:12:54.8840181Z heuristics for finding the CUDA install directory are used, which usually 2024-12-18T00:12:54.8840402Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2024-12-18T00:12:54.8840495Z safest option. 2024-12-18T00:12:54.8840578Z 2024-12-18T00:12:54.8840676Z Args: 2024-12-18T00:12:54.8840887Z name: The name of the extension to build. This MUST be the same as the 2024-12-18T00:12:54.8841009Z name of the pybind11 module! 2024-12-18T00:12:54.8841209Z sources: A list of relative or absolute paths to C++ source files. 2024-12-18T00:12:54.8841530Z extra_cflags: optional list of compiler flags to forward to the build. 2024-12-18T00:12:54.8841751Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2024-12-18T00:12:54.8841861Z when building CUDA sources. 2024-12-18T00:12:54.8842094Z extra_ldflags: optional list of linker flags to forward to the build. 2024-12-18T00:12:54.8842310Z extra_include_paths: optional list of include directories to forward 2024-12-18T00:12:54.8842418Z to the build. 2024-12-18T00:12:54.8842600Z build_directory: optional path to use as build workspace. 2024-12-18T00:12:54.8842791Z verbose: If ``True``, turns on verbose logging of load steps. 2024-12-18T00:12:54.8843012Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-12-18T00:12:54.8843172Z the build. If set to ``None`` (default), this value is 2024-12-18T00:12:54.8843390Z automatically determined based on the existence of ``.cu`` or 2024-12-18T00:12:54.8843564Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2024-12-18T00:12:54.8843687Z and libraries to be included. 2024-12-18T00:12:54.8843890Z is_python_module: If ``True`` (default), imports the produced shared 2024-12-18T00:12:54.8844093Z library as a Python module. If ``False``, behavior depends on 2024-12-18T00:12:54.8844193Z ``is_standalone``. 2024-12-18T00:12:54.8844397Z is_standalone: If ``False`` (default) loads the constructed extension 2024-12-18T00:12:54.8844608Z into the process as a plain dynamic library. If ``True``, build a 2024-12-18T00:12:54.8844713Z standalone executable. 2024-12-18T00:12:54.8844810Z 2024-12-18T00:12:54.8844897Z Returns: 2024-12-18T00:12:54.8845011Z If ``is_python_module`` is ``True``: 2024-12-18T00:12:54.8845203Z Returns the loaded PyTorch extension as a Python module. 2024-12-18T00:12:54.8845288Z 2024-12-18T00:12:54.8845534Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2024-12-18T00:12:54.8845770Z Returns nothing. (The shared library is loaded into the process as 2024-12-18T00:12:54.8845881Z a side effect.) 2024-12-18T00:12:54.8845967Z 2024-12-18T00:12:54.8846078Z If ``is_standalone`` is ``True``. 2024-12-18T00:12:54.8846291Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2024-12-18T00:12:54.8846464Z added to the PATH environment variable as a side effect.) 2024-12-18T00:12:54.8846560Z 2024-12-18T00:12:54.8846648Z Example: 2024-12-18T00:12:54.8846749Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8846907Z >>> from torch.utils.cpp_extension import load 2024-12-18T00:12:54.8847026Z >>> module = load( 2024-12-18T00:12:54.8847138Z ... name='extension', 2024-12-18T00:12:54.8847325Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2024-12-18T00:12:54.8847443Z ... extra_cflags=['-O2'], 2024-12-18T00:12:54.8847542Z ... verbose=True) 2024-12-18T00:12:54.8847623Z 2024-12-18T00:12:54.8847884Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8847969Z 2024-12-18T00:12:54.8848082Z warnings.warn(msg) 2024-12-18T00:12:54.8848164Z 2024-12-18T00:12:54.8848374Z --- Parse Warning: 103 / 105 --- 2024-12-18T00:12:54.8849265Z /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=1593. 2024-12-18T00:12:54.8849529Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8849628Z 2024-12-18T00:12:54.8849840Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2024-12-18T00:12:54.8849940Z 2024-12-18T00:12:54.8850175Z This function behaves exactly like :func:`load`, but takes its sources as 2024-12-18T00:12:54.8850407Z strings rather than filenames. These strings are stored to files in the 2024-12-18T00:12:54.8850634Z build directory, after which the behavior of :func:`load_inline` is 2024-12-18T00:12:54.8850739Z identical to :func:`load`. 2024-12-18T00:12:54.8850837Z 2024-12-18T00:12:54.8850924Z See `the 2024-12-18T00:12:54.8851263Z tests `_ 2024-12-18T00:12:54.8851394Z for good examples of using this function. 2024-12-18T00:12:54.8851480Z 2024-12-18T00:12:54.8851723Z Sources may omit two required parts of a typical non-inline C++ extension: 2024-12-18T00:12:54.8851967Z the necessary header includes, as well as the (pybind11) binding code. More 2024-12-18T00:12:54.8852220Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2024-12-18T00:12:54.8852416Z single ``.cpp`` file. This file is then prepended with ``#include 2024-12-18T00:12:54.8852539Z ``. 2024-12-18T00:12:54.8852622Z 2024-12-18T00:12:54.8852847Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2024-12-18T00:12:54.8853096Z automatically generated for each function specified. ``functions`` can 2024-12-18T00:12:54.8853315Z either be a list of function names, or a dictionary mapping from function 2024-12-18T00:12:54.8853553Z names to docstrings. If a list is given, the name of each function is used 2024-12-18T00:12:54.8853648Z as its docstring. 2024-12-18T00:12:54.8853732Z 2024-12-18T00:12:54.8853963Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2024-12-18T00:12:54.8854138Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2024-12-18T00:12:54.8854356Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2024-12-18T00:12:54.8854582Z separately, but ultimately linked into a single library. Note that no 2024-12-18T00:12:54.8854883Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2024-12-18T00:12:54.8855103Z to a CUDA kernel, you must create a C++ function that calls it, and either 2024-12-18T00:12:54.8855314Z declare or define this C++ function in one of the ``cpp_sources`` (and 2024-12-18T00:12:54.8855441Z include its name in ``functions``). 2024-12-18T00:12:54.8855527Z 2024-12-18T00:12:54.8855721Z See :func:`load` for a description of arguments omitted below. 2024-12-18T00:12:54.8855803Z 2024-12-18T00:12:54.8855905Z Args: 2024-12-18T00:12:54.8856117Z cpp_sources: A string, or list of strings, containing C++ source code. 2024-12-18T00:12:54.8856377Z cuda_sources: A string, or list of strings, containing CUDA source code. 2024-12-18T00:12:54.8856592Z functions: A list of function names for which to generate function 2024-12-18T00:12:54.8856831Z bindings. If a dictionary is given, it should map function names to 2024-12-18T00:12:54.8857026Z docstrings (which are otherwise just the function names). 2024-12-18T00:12:54.8857248Z with_cuda: Determines whether CUDA headers and libraries are added to 2024-12-18T00:12:54.8857420Z the build. If set to ``None`` (default), this value is 2024-12-18T00:12:54.8857623Z automatically determined based on whether ``cuda_sources`` is 2024-12-18T00:12:54.8857780Z provided. Set it to ``True`` to force CUDA headers 2024-12-18T00:12:54.8857905Z and libraries to be included. 2024-12-18T00:12:54.8858301Z with_pytorch_error_handling: Determines whether pytorch error and 2024-12-18T00:12:54.8858512Z warning macros are handled by pytorch instead of pybind. To do 2024-12-18T00:12:54.8858728Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2024-12-18T00:12:54.8858942Z function. This redirection might cause issues in obscure cases 2024-12-18T00:12:54.8859130Z of cpp. This flag should be set to ``False`` when this redirect 2024-12-18T00:12:54.8859227Z causes issues. 2024-12-18T00:12:54.8859323Z 2024-12-18T00:12:54.8859411Z Example: 2024-12-18T00:12:54.8859576Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2024-12-18T00:12:54.8859732Z >>> from torch.utils.cpp_extension import load_inline 2024-12-18T00:12:54.8859836Z >>> source = """ 2024-12-18T00:12:54.8859983Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2024-12-18T00:12:54.8860086Z return x.sin() + y.sin(); 2024-12-18T00:12:54.8860185Z } 2024-12-18T00:12:54.8860267Z """ 2024-12-18T00:12:54.8860419Z >>> module = load_inline(name='inline_extension', 2024-12-18T00:12:54.8860542Z ... cpp_sources=[source], 2024-12-18T00:12:54.8860658Z ... functions=['sin_add']) 2024-12-18T00:12:54.8860754Z 2024-12-18T00:12:54.8860842Z .. note:: 2024-12-18T00:12:54.8861095Z Since load_inline will just-in-time compile the source code, please ensure 2024-12-18T00:12:54.8861324Z that you have the right toolchains installed in the runtime. For example, 2024-12-18T00:12:54.8861550Z when loading C++, make sure a C++ compiler is available. If you're loading 2024-12-18T00:12:54.8861794Z a CUDA extension, you will need to additionally install the corresponding CUDA 2024-12-18T00:12:54.8862037Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2024-12-18T00:12:54.8862284Z are not included when you install torch and must be additionally installed. 2024-12-18T00:12:54.8862366Z 2024-12-18T00:12:54.8862629Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2024-12-18T00:12:54.8862846Z the extension. This may use up too many resources on some systems. One 2024-12-18T00:12:54.8863077Z can control the number of workers by setting the `MAX_JOBS` environment 2024-12-18T00:12:54.8863285Z variable to a non-negative number. 2024-12-18T00:12:54.8863369Z 2024-12-18T00:12:54.8863633Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8863717Z 2024-12-18T00:12:54.8863826Z warnings.warn(msg) 2024-12-18T00:12:54.8863909Z 2024-12-18T00:12:54.8864118Z --- Parse Warning: 104 / 105 --- 2024-12-18T00:12:54.8865084Z /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. 2024-12-18T00:12:54.8865379Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8865477Z 2024-12-18T00:12:54.8865769Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2024-12-18T00:12:54.8865898Z 2024-12-18T00:12:54.8866193Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2024-12-18T00:12:54.8866455Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2024-12-18T00:12:54.8866687Z server like load. It can emulate multiple calling threads to a single module 2024-12-18T00:12:54.8866926Z provided. In the future we plan to enhance this component to support inter and 2024-12-18T00:12:54.8867180Z intra-op parallelism as well as multiple models running in a single process. 2024-12-18T00:12:54.8867263Z 2024-12-18T00:12:54.8867524Z Please note that even though nn.Module is supported, it might incur an overhead 2024-12-18T00:12:54.8867748Z from the need to hold GIL every time we execute Python code or pass around 2024-12-18T00:12:54.8867999Z inputs as Python objects. As soon as you have a ScriptModule version of your 2024-12-18T00:12:54.8868235Z model for inference deployment it is better to switch to using it in this 2024-12-18T00:12:54.8868329Z benchmark. 2024-12-18T00:12:54.8868432Z 2024-12-18T00:12:54.8868526Z Example:: 2024-12-18T00:12:54.8868622Z 2024-12-18T00:12:54.8868744Z >>> # xdoctest: +SKIP("undefined vars") 2024-12-18T00:12:54.8868886Z >>> from torch.utils import ThroughputBenchmark 2024-12-18T00:12:54.8869026Z >>> bench = ThroughputBenchmark(my_module) 2024-12-18T00:12:54.8869186Z >>> # Pre-populate benchmark's data set with the inputs 2024-12-18T00:12:54.8869298Z >>> for input in inputs: 2024-12-18T00:12:54.8869516Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2024-12-18T00:12:54.8869658Z ... bench.add_input(input[0], x2=input[1]) 2024-12-18T00:12:54.8869855Z >>> # Inputs supplied above are randomly used during the execution 2024-12-18T00:12:54.8869962Z >>> stats = bench.benchmark( 2024-12-18T00:12:54.8870082Z ... num_calling_threads=4, 2024-12-18T00:12:54.8870186Z ... num_warmup_iters = 100, 2024-12-18T00:12:54.8870299Z ... num_iters = 1000, 2024-12-18T00:12:54.8870383Z ... ) 2024-12-18T00:12:54.8870578Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2024-12-18T00:12:54.8870751Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2024-12-18T00:12:54.8870833Z 2024-12-18T00:12:54.8871094Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8871177Z 2024-12-18T00:12:54.8871286Z warnings.warn(msg) 2024-12-18T00:12:54.8871369Z 2024-12-18T00:12:54.8871564Z --- Parse Warning: 105 / 105 --- 2024-12-18T00:12:54.8872500Z /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. 2024-12-18T00:12:54.8872764Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2024-12-18T00:12:54.8873031Z Sampler that restricts data loading to a subset of the dataset. 2024-12-18T00:12:54.8873115Z 2024-12-18T00:12:54.8873260Z It is especially useful in conjunction with 2024-12-18T00:12:54.8873507Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2024-12-18T00:12:54.8873764Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2024-12-18T00:12:54.8873999Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2024-12-18T00:12:54.8874130Z original dataset that is exclusive to it. 2024-12-18T00:12:54.8874224Z 2024-12-18T00:12:54.8874316Z .. note:: 2024-12-18T00:12:54.8874586Z Dataset is assumed to be of constant size and that any instance of it always 2024-12-18T00:12:54.8874727Z returns the same elements in the same order. 2024-12-18T00:12:54.8874834Z 2024-12-18T00:12:54.8874933Z Args: 2024-12-18T00:12:54.8875059Z dataset: Dataset used for sampling. 2024-12-18T00:12:54.8875285Z num_replicas (int, optional): Number of processes participating in 2024-12-18T00:12:54.8875535Z distributed training. By default, :attr:`world_size` is retrieved from the 2024-12-18T00:12:54.8875662Z current distributed group. 2024-12-18T00:12:54.8875900Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2024-12-18T00:12:54.8876100Z By default, :attr:`rank` is retrieved from the current distributed 2024-12-18T00:12:54.8876199Z group. 2024-12-18T00:12:54.8876421Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2024-12-18T00:12:54.8876524Z indices. 2024-12-18T00:12:54.8876714Z seed (int, optional): random seed used to shuffle the sampler if 2024-12-18T00:12:54.8876926Z :attr:`shuffle=True`. This number should be identical across all 2024-12-18T00:12:54.8877094Z processes in the distributed group. Default: ``0``. 2024-12-18T00:12:54.8877307Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2024-12-18T00:12:54.8877512Z tail of the data to make it evenly divisible across the number of 2024-12-18T00:12:54.8877711Z replicas. If ``False``, the sampler will add extra indices to make 2024-12-18T00:12:54.8877931Z the data evenly divisible across the replicas. Default: ``False``. 2024-12-18T00:12:54.8878014Z 2024-12-18T00:12:54.8878116Z .. warning:: 2024-12-18T00:12:54.8878308Z In distributed mode, calling the :meth:`set_epoch` method at 2024-12-18T00:12:54.8878560Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2024-12-18T00:12:54.8878832Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2024-12-18T00:12:54.8878962Z the same ordering will be always used. 2024-12-18T00:12:54.8879060Z 2024-12-18T00:12:54.8879151Z Example:: 2024-12-18T00:12:54.8879234Z 2024-12-18T00:12:54.8879350Z >>> # xdoctest: +SKIP 2024-12-18T00:12:54.8879572Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2024-12-18T00:12:54.8879760Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2024-12-18T00:12:54.8879884Z ... sampler=sampler) 2024-12-18T00:12:54.8880034Z >>> for epoch in range(start_epoch, n_epochs): 2024-12-18T00:12:54.8880138Z ... if is_distributed: 2024-12-18T00:12:54.8880255Z ... sampler.set_epoch(epoch) 2024-12-18T00:12:54.8880364Z ... train(loader) 2024-12-18T00:12:54.8880451Z 2024-12-18T00:12:54.8880711Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2024-12-18T00:12:54.8880796Z 2024-12-18T00:12:54.8880929Z warnings.warn(msg) 2024-12-18T00:12:54.8881051Z 2024-12-18T00:12:54.8881169Z  2024-12-18T00:12:54.8881357Z === Found 9 run-time warnings === 2024-12-18T00:12:54.8881626Z --- Runtime Warning: 1 / 9 --- 2024-12-18T00:12:54.8881908Z example = 2024-12-18T00:12:54.8883214Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/_tensor.py:1354: 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:1938.) 2024-12-18T00:12:54.8883379Z return super().refine_names(names) 2024-12-18T00:12:54.8883459Z 2024-12-18T00:12:54.8883648Z --- Runtime Warning: 2 / 9 --- 2024-12-18T00:12:54.8883989Z example = 2024-12-18T00:12:54.8884605Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/library.py:272: UserWarning: Warning only once for all operators, other operators may also be overridden. 2024-12-18T00:12:54.8884926Z Overriding a previously registered kernel for the same operator and the same dispatch key 2024-12-18T00:12:54.8885129Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2024-12-18T00:12:54.8885430Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2024-12-18T00:12:54.8885639Z dispatch key: CPU 2024-12-18T00:12:54.8886065Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2024-12-18T00:12:54.8886620Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:161.) 2024-12-18T00:12:54.8886778Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2024-12-18T00:12:54.8886879Z 2024-12-18T00:12:54.8887061Z --- Runtime Warning: 3 / 9 --- 2024-12-18T00:12:54.8887310Z example = 2024-12-18T00:12:54.8889087Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nested/__init__.py:109: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2024-12-18T00:12:54.8889345Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2024-12-18T00:12:54.8889430Z 2024-12-18T00:12:54.8889608Z --- Runtime Warning: 4 / 9 --- 2024-12-18T00:12:54.8889873Z example = 2024-12-18T00:12:54.8891457Z :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.) 2024-12-18T00:12:54.8891547Z 2024-12-18T00:12:54.8891726Z --- Runtime Warning: 5 / 9 --- 2024-12-18T00:12:54.8892040Z example = 2024-12-18T00:12:54.8893532Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:264: 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 2024-12-18T00:12:54.8893750Z new_node = root_const_gm.graph.get_attr(in_node.target) 2024-12-18T00:12:54.8893835Z 2024-12-18T00:12:54.8894023Z --- Runtime Warning: 6 / 9 --- 2024-12-18T00:12:54.8894309Z example = 2024-12-18T00:12:54.8895377Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py:375: 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) 2024-12-18T00:12:54.8895475Z warnings.warn( 2024-12-18T00:12:54.8895568Z 2024-12-18T00:12:54.8895772Z --- Runtime Warning: 7 / 9 --- 2024-12-18T00:12:54.8896097Z example = 2024-12-18T00:12:54.8897174Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/nn/modules/transformer.py:375: 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) 2024-12-18T00:12:54.8897269Z warnings.warn( 2024-12-18T00:12:54.8897358Z 2024-12-18T00:12:54.8897536Z --- Runtime Warning: 8 / 9 --- 2024-12-18T00:12:54.8897821Z example = 2024-12-18T00:12:54.8898609Z /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`. 2024-12-18T00:12:54.8898734Z WeightNorm.apply(module, name, dim) 2024-12-18T00:12:54.8898824Z 2024-12-18T00:12:54.8899002Z --- Runtime Warning: 9 / 9 --- 2024-12-18T00:12:54.8899314Z example = 2024-12-18T00:12:54.8900094Z /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`. 2024-12-18T00:12:54.8900224Z WeightNorm.apply(module, name, dim) 2024-12-18T00:12:54.8900305Z 2024-12-18T00:12:54.8900603Z === 338 passed, 367 skipped, 114 warnings in 11.22 seconds === 2024-12-18T00:12:54.8900799Z Running test_autoload_enable 1/1 ... [2024-12-18 00:12:54.680896] 2024-12-18T00:12:57.4629845Z running install 2024-12-18T00:12:57.4631219Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2024-12-18T00:12:57.4632004Z !! 2024-12-18T00:12:57.4632134Z 2024-12-18T00:12:57.4632268Z ******************************************************************************** 2024-12-18T00:12:57.4632678Z Please avoid running ``setup.py`` directly. 2024-12-18T00:12:57.4633090Z Instead, use pypa/build, pypa/installer or other 2024-12-18T00:12:57.4633455Z standards-based tools. 2024-12-18T00:12:57.4633657Z 2024-12-18T00:12:57.4633956Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2024-12-18T00:12:57.4634491Z ******************************************************************************** 2024-12-18T00:12:57.4634746Z 2024-12-18T00:12:57.4634830Z !! 2024-12-18T00:12:57.4635058Z self.initialize_options() 2024-12-18T00:12:57.4765173Z running build 2024-12-18T00:12:57.4765446Z running build_py 2024-12-18T00:12:57.4841961Z creating build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-18T00:12:57.4844343Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension 2024-12-18T00:12:57.4848595Z running build_ext 2024-12-18T00:12:57.5639116Z building 'torch_test_cpp_extension.cpp' extension 2024-12-18T00:12:57.5640675Z creating build/temp.linux-x86_64-cpython-312 2024-12-18T00:12:57.5646541Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c extension.cpp -o build/temp.linux-x86_64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:12:58.5696351Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2024-12-18T00:12:58.5697468Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2024-12-18T00:12:58.5698332Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/extension.h:9, 2024-12-18T00:12:58.5698879Z from extension.cpp:1: 2024-12-18T00:12:58.5700141Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2024-12-18T00:12:58.5700989Z extension.cpp:45:53: required from here 2024-12-18T00:12:58.5702431Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2024-12-18T00:12:58.5703672Z 1539 | class class_ : public detail::generic_type { 2024-12-18T00:12:58.5704034Z | ^~~~~~ 2024-12-18T00:12:58.5705624Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2024-12-18T00:12:58.5706984Z extension.cpp:45:53: required from here 2024-12-18T00:12:58.5710169Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::’ declared with greater visibility than the type of its field ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]::::’ [-Wattributes] 2024-12-18T00:12:58.5712790Z 1599 | with_internals([&](internals &internals) { 2024-12-18T00:12:58.5713181Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:58.5713700Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2024-12-18T00:12:58.5714278Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:58.5714720Z 1601 | : internals.registered_types_cpp; 2024-12-18T00:12:58.5715147Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:58.5715574Z 1602 | instances[std::type_index(typeid(type_alias))] 2024-12-18T00:12:58.5716152Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:58.5716612Z 1603 | = instances[std::type_index(typeid(type))]; 2024-12-18T00:12:58.5717011Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:12:58.5717332Z 1604 | }); 2024-12-18T00:12:58.5717592Z | ~ 2024-12-18T00:12:58.5720767Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:12:58.9747394Z building 'torch_test_cpp_extension.maia' extension 2024-12-18T00:12:58.9751847Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:12:59.9702240Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/maia_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:13:00.3510146Z building 'torch_test_cpp_extension.rng' extension 2024-12-18T00:13:00.3514568Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/TH -I/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.12/include/python3.12 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17 2024-12-18T00:13:01.4757116Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:13:01.4758845Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:13:01.4759656Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:13:01.4760572Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:13:01.4761251Z from rng_extension.cpp:6: 2024-12-18T00:13:01.4762134Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1123: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:13:01.4762919Z 1123 | # pragma unroll 2024-12-18T00:13:01.4763182Z | 2024-12-18T00:13:01.4763815Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1163, 2024-12-18T00:13:01.4764780Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:13:01.4765595Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:13:01.4766387Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:13:01.4767297Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:13:01.4767955Z from rng_extension.cpp:6: 2024-12-18T00:13:01.4768738Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:13:01.4769508Z 59 | #pragma unroll 2024-12-18T00:13:01.4769767Z | 2024-12-18T00:13:01.4770441Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:13:01.4771202Z 72 | #pragma unroll 2024-12-18T00:13:01.4771443Z | 2024-12-18T00:13:01.4772113Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:13:01.4772882Z 87 | #pragma unroll 2024-12-18T00:13:01.4773134Z | 2024-12-18T00:13:01.4773673Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1164, 2024-12-18T00:13:01.4774554Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2024-12-18T00:13:01.4775358Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2024-12-18T00:13:01.4776147Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2024-12-18T00:13:01.4777050Z from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2024-12-18T00:13:01.4777723Z from rng_extension.cpp:6: 2024-12-18T00:13:01.4778518Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:153: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2024-12-18T00:13:01.4779294Z 153 | #pragma unroll 2024-12-18T00:13:01.4779531Z | 2024-12-18T00:13:01.4782618Z g++ -pthread -B /opt/conda/envs/py_3.12/compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -fPIC -O2 -isystem /opt/conda/envs/py_3.12/include -pthread -B /opt/conda/envs/py_3.12/compiler_compat -shared -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib -Wl,-rpath,/opt/conda/envs/py_3.12/lib -Wl,-rpath-link,/opt/conda/envs/py_3.12/lib -L/opt/conda/envs/py_3.12/lib build/temp.linux-x86_64-cpython-312/rng_extension.o -L/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so 2024-12-18T00:13:01.8869924Z running install_lib 2024-12-18T00:13:01.8952497Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:13:01.9054166Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/maia.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:13:01.9153824Z copying build/lib.linux-x86_64-cpython-312/torch_test_cpp_extension/rng.cpython-312-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension 2024-12-18T00:13:01.9259156Z running install_egg_info 2024-12-18T00:13:01.9430254Z running egg_info 2024-12-18T00:13:01.9500447Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2024-12-18T00:13:01.9503647Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2024-12-18T00:13:01.9505476Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2024-12-18T00:13:01.9507212Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2024-12-18T00:13:01.9581858Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-18T00:13:01.9590720Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2024-12-18T00:13:01.9592353Z removing './install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it) 2024-12-18T00:13:01.9593694Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info 2024-12-18T00:13:01.9599536Z running install_scripts 2024-12-18T00:13:05.3011652Z 2024-12-18T00:13:05.3012122Z Running tests... 2024-12-18T00:13:05.3012523Z ---------------------------------------------------------------------- 2024-12-18T00:13:05.3131674Z . 2024-12-18T00:13:05.3132023Z ---------------------------------------------------------------------- 2024-12-18T00:13:05.3132428Z Ran 1 test in 0.012s 2024-12-18T00:13:05.3132588Z 2024-12-18T00:13:05.3132671Z OK 2024-12-18T00:13:05.3132799Z 2024-12-18T00:13:05.3132908Z Generating XML reports... 2024-12-18T00:13:05.8933159Z Running inductor/test_aot_inductor 1/1 ... [2024-12-18 00:13:05.892998] 2024-12-18T00:13:05.8933649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:05.8936422Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor.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'] ... [2024-12-18 00:13:05.893429] 2024-12-18T00:13:13.1016375Z 2024-12-18T00:13:13.1017878Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_64dadfd1ecef965a_.log 2024-12-18T00:13:13.1018984Z 2024-12-18T00:13:13.1020044Z Running inductor/test_aot_inductor_arrayref 1/4 ... [2024-12-18 00:13:13.101829] 2024-12-18T00:13:13.1020786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:13.1025764Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:13.102247] 2024-12-18T00:13:20.4764681Z 2024-12-18T00:13:20.4766147Z inductor/test_aot_inductor_arrayref 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.4_4b8609459e808a88_.log 2024-12-18T00:13:20.4767557Z Running 0 items in this shard: 2024-12-18T00:13:20.4767964Z 2024-12-18T00:13:20.4769200Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2024-12-18 00:13:20.476760] 2024-12-18T00:13:20.4769689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:20.4772539Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:20.477065] 2024-12-18T00:13:27.6353516Z 2024-12-18T00:13:27.6355324Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_62df70f9ffb376d9_.log 2024-12-18T00:13:27.6356619Z 2024-12-18T00:13:27.6357312Z Running inductor/test_kernel_benchmark 1/1 ... [2024-12-18 00:13:27.635504] 2024-12-18T00:13:27.6358303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:27.6360494Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_kernel_benchmark.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'] ... [2024-12-18 00:13:27.635828] 2024-12-18T00:13:31.0100237Z 2024-12-18T00:13:31.0101266Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_e91ab18d179470fd_.log 2024-12-18T00:13:31.0102035Z 2024-12-18T00:13:31.0103306Z Running inductor/test_torchinductor 4/4 ... [2024-12-18 00:13:31.010175] 2024-12-18T00:13:31.0103834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:31.0106642Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:31.010461] 2024-12-18T00:13:38.5845838Z 2024-12-18T00:13:38.5846856Z inductor/test_torchinductor 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_4.4_ab2bb7807b6dff58_.log 2024-12-18T00:13:38.5847713Z Running 0 items in this shard: 2024-12-18T00:13:38.5847912Z 2024-12-18T00:13:38.5849377Z Running inductor/test_torchinductor_opinfo 2/46 ... [2024-12-18 00:13:38.584766] 2024-12-18T00:13:38.5849863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:38.5852960Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=2', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:38.585086] 2024-12-18T00:13:47.4107845Z 2024-12-18T00:13:47.4108892Z inductor/test_torchinductor_opinfo 2/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_2.46_757371f33d6fe63a_.log 2024-12-18T00:13:47.4109846Z Running 0 items in this shard: 2024-12-18T00:13:47.4110079Z 2024-12-18T00:13:47.4111202Z Running inductor/test_torchinductor_opinfo 3/46 ... [2024-12-18 00:13:47.410947] 2024-12-18T00:13:47.4111702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:47.4114609Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=3', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:47.411264] 2024-12-18T00:13:56.2871941Z 2024-12-18T00:13:56.2873006Z inductor/test_torchinductor_opinfo 3/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.46_9ef0a8519827b1a8_.log 2024-12-18T00:13:56.2873936Z Running 0 items in this shard: 2024-12-18T00:13:56.2874202Z 2024-12-18T00:13:56.2875718Z Running inductor/test_torchinductor_opinfo 15/46 ... [2024-12-18 00:13:56.287332] 2024-12-18T00:13:56.2876342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:13:56.2878614Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=15', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:13:56.287655] 2024-12-18T00:14:05.1637643Z 2024-12-18T00:14:05.1638694Z inductor/test_torchinductor_opinfo 15/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_15.46_b3709d8f16caecfe_.log 2024-12-18T00:14:05.1639632Z Running 0 items in this shard: 2024-12-18T00:14:05.1639826Z 2024-12-18T00:14:05.1641518Z Running inductor/test_torchinductor_opinfo 17/46 ... [2024-12-18 00:14:05.163952] 2024-12-18T00:14:05.1642162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:05.1645057Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=17', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:05.164294] 2024-12-18T00:14:14.0406637Z 2024-12-18T00:14:14.0407638Z inductor/test_torchinductor_opinfo 17/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_17.46_9d988069916d5cc1_.log 2024-12-18T00:14:14.0408599Z Running 0 items in this shard: 2024-12-18T00:14:14.0408828Z 2024-12-18T00:14:14.0409547Z Running inductor/test_torchinductor_opinfo 18/46 ... [2024-12-18 00:14:14.040802] 2024-12-18T00:14:14.0410046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:14.0413003Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=18', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:14.041096] 2024-12-18T00:14:22.9173786Z 2024-12-18T00:14:22.9174786Z inductor/test_torchinductor_opinfo 18/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_18.46_93296c4709c453bf_.log 2024-12-18T00:14:22.9175707Z Running 0 items in this shard: 2024-12-18T00:14:22.9175915Z 2024-12-18T00:14:22.9176716Z Running inductor/test_torchinductor_opinfo 30/46 ... [2024-12-18 00:14:22.917524] 2024-12-18T00:14:22.9177220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:22.9180159Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=30', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:22.917816] 2024-12-18T00:14:31.7938985Z 2024-12-18T00:14:31.7939973Z inductor/test_torchinductor_opinfo 30/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_30.46_591f3cb25bad31f3_.log 2024-12-18T00:14:31.7940983Z Running 0 items in this shard: 2024-12-18T00:14:31.7941213Z 2024-12-18T00:14:31.7941850Z Running inductor/test_torchinductor_opinfo 32/46 ... [2024-12-18 00:14:31.794015] 2024-12-18T00:14:31.7942413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:31.7945440Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=32', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:31.794330] 2024-12-18T00:14:40.7203864Z 2024-12-18T00:14:40.7204995Z inductor/test_torchinductor_opinfo 32/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_32.46_4d1f8f0cdeac6802_.log 2024-12-18T00:14:40.7206314Z Running 0 items in this shard: 2024-12-18T00:14:40.7206541Z 2024-12-18T00:14:40.7207289Z Running inductor/test_torchinductor_opinfo 33/46 ... [2024-12-18 00:14:40.720538] 2024-12-18T00:14:40.7207825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:40.7210563Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=33', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:40.720848] 2024-12-18T00:14:49.6471023Z 2024-12-18T00:14:49.6472303Z inductor/test_torchinductor_opinfo 33/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_33.46_535d55fb7f43d800_.log 2024-12-18T00:14:49.6473391Z Running 0 items in this shard: 2024-12-18T00:14:49.6473591Z 2024-12-18T00:14:49.6474144Z Running inductor/test_torchinductor_opinfo 45/46 ... [2024-12-18 00:14:49.647268] 2024-12-18T00:14:49.6474661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:49.6477749Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=45', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:49.647565] 2024-12-18T00:14:58.5737265Z 2024-12-18T00:14:58.5738329Z inductor/test_torchinductor_opinfo 45/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_45.46_0f387ea1a58e51af_.log 2024-12-18T00:14:58.5739273Z Running 0 items in this shard: 2024-12-18T00:14:58.5739482Z 2024-12-18T00:14:58.5740844Z Running inductor/test_compiled_optimizers 1/1 ... [2024-12-18 00:14:58.573899] 2024-12-18T00:14:58.5741355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:14:58.5744284Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:14:58.574216] 2024-12-18T00:15:07.0999933Z 2024-12-18T00:15:07.1000988Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_f27d7bcb29965673_.log 2024-12-18T00:15:07.1001948Z Running 0 items in this shard: 2024-12-18T00:15:07.1002164Z 2024-12-18T00:15:07.1003157Z Running dynamo/test_base_output 1/1 ... [2024-12-18 00:15:07.100170] 2024-12-18T00:15:07.1003603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:07.1006722Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_base_output.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'] ... [2024-12-18 00:15:07.100479] 2024-12-18T00:15:10.6194662Z 2024-12-18T00:15:10.6195604Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_59d341afeef6858f_.log 2024-12-18T00:15:10.6196417Z Running 0 items in this shard: 2024-12-18T00:15:10.6196611Z 2024-12-18T00:15:10.6197845Z Running inductor/test_cooperative_reductions 1/1 ... [2024-12-18 00:15:10.619634] 2024-12-18T00:15:10.6198338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:10.6201287Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cooperative_reductions.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'] ... [2024-12-18 00:15:10.619936] 2024-12-18T00:15:14.0281971Z 2024-12-18T00:15:14.0283250Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_daa8732267289ff3_.log 2024-12-18T00:15:14.0284281Z 2024-12-18T00:15:14.0284489Z Running test_import_stats 1/1 ... [2024-12-18 00:15:14.028272] 2024-12-18T00:15:14.0284888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:14.0288156Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_import_stats.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'] ... [2024-12-18 00:15:14.028575] 2024-12-18T00:15:17.5475148Z 2024-12-18T00:15:17.5476026Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_0cfa3263d0c6f5b2_.log 2024-12-18T00:15:17.5476982Z Running 0 items in this shard: 2024-12-18T00:15:17.5477197Z 2024-12-18T00:15:17.5478181Z Running test_binary_ufuncs 1/1 ... [2024-12-18 00:15:17.547655] 2024-12-18T00:15:17.5478680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:17.5481347Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_binary_ufuncs.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'] ... [2024-12-18 00:15:17.547948] 2024-12-18T00:15:23.7704584Z 2024-12-18T00:15:23.7705467Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_81a16631150cc71f_.log 2024-12-18T00:15:23.7706217Z Running 0 items in this shard: 2024-12-18T00:15:23.7706470Z 2024-12-18T00:15:23.7708525Z Running export/test_functionalized_assertions 1/1 ... [2024-12-18 00:15:23.770583] 2024-12-18T00:15:23.7709126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:23.7710941Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_functionalized_assertions.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'] ... [2024-12-18 00:15:23.770902] 2024-12-18T00:15:27.2897793Z 2024-12-18T00:15:27.2898850Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_f34477df63fccce2_.log 2024-12-18T00:15:27.2899781Z Running 0 items in this shard: 2024-12-18T00:15:27.2899998Z 2024-12-18T00:15:27.2900532Z Running export/test_tree_utils 1/1 ... [2024-12-18 00:15:27.289915] 2024-12-18T00:15:27.2900973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:27.2903825Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_tree_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'] ... [2024-12-18 00:15:27.290197] 2024-12-18T00:15:30.8091799Z 2024-12-18T00:15:30.8093117Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_9c190e01ac0ff3be_.log 2024-12-18T00:15:30.8094411Z Running 0 items in this shard: 2024-12-18T00:15:30.8094740Z 2024-12-18T00:15:30.8095295Z Running inductor/test_inductor_annotations 1/1 ... [2024-12-18 00:15:30.809358] 2024-12-18T00:15:30.8096078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:30.8098441Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_inductor_annotations.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'] ... [2024-12-18 00:15:30.809646] 2024-12-18T00:15:34.3287382Z 2024-12-18T00:15:34.3288410Z inductor/test_inductor_annotations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_annotations_1.1_93bfcb14f2fd2d80_.log 2024-12-18T00:15:34.3289381Z Running 0 items in this shard: 2024-12-18T00:15:34.3289800Z 2024-12-18T00:15:34.3290067Z Running dynamo/test_nops 1/1 ... [2024-12-18 00:15:34.328824] 2024-12-18T00:15:34.3290482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:34.3292792Z 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'] ... [2024-12-18 00:15:34.329098] 2024-12-18T00:15:37.7978480Z 2024-12-18T00:15:37.7979303Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_4c99f90516f1aff5_.log 2024-12-18T00:15:37.7980037Z Running 0 items in this shard: 2024-12-18T00:15:37.7980228Z 2024-12-18T00:15:37.7981511Z Running inductor/test_utils 1/1 ... [2024-12-18 00:15:37.797996] 2024-12-18T00:15:37.7981945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:37.7984578Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/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'] ... [2024-12-18 00:15:37.798270] 2024-12-18T00:15:41.2171918Z 2024-12-18T00:15:41.2172787Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_9ba5673650497e3b_.log 2024-12-18T00:15:41.2173605Z Running 0 items in this shard: 2024-12-18T00:15:41.2173821Z 2024-12-18T00:15:41.2174587Z Running inductor/test_indexing 1/1 ... [2024-12-18 00:15:41.217326] 2024-12-18T00:15:41.2175026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:41.2177874Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_indexing.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'] ... [2024-12-18 00:15:41.217602] 2024-12-18T00:15:47.8407190Z 2024-12-18T00:15:47.8408141Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_b9bbf08c3fd72d05_.log 2024-12-18T00:15:47.8408959Z Running 0 items in this shard: 2024-12-18T00:15:47.8409169Z 2024-12-18T00:15:47.8410288Z Running inductor/test_pad_mm 1/1 ... [2024-12-18 00:15:47.840890] 2024-12-18T00:15:47.8410713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:47.8414040Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_pad_mm.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'] ... [2024-12-18 00:15:47.841212] 2024-12-18T00:15:51.6592399Z 2024-12-18T00:15:51.6593156Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_efcf10672b78901b_.log 2024-12-18T00:15:51.6593804Z 2024-12-18T00:15:51.6595311Z Running dynamo/test_utils 1/1 ... [2024-12-18 00:15:51.659388] 2024-12-18T00:15:51.6595734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:51.6599066Z 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'] ... [2024-12-18 00:15:51.659710] 2024-12-18T00:15:55.1287131Z 2024-12-18T00:15:55.1288409Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_332f23385b83e996_.log 2024-12-18T00:15:55.1289654Z Running 0 items in this shard: 2024-12-18T00:15:55.1291165Z 2024-12-18T00:15:55.1291592Z Running inductor/test_compile_worker 1/1 ... [2024-12-18 00:15:55.128966] 2024-12-18T00:15:55.1292290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:15:55.1297171Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compile_worker.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'] ... [2024-12-18 00:15:55.129385] 2024-12-18T00:16:01.6523594Z 2024-12-18T00:16:01.6524563Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_06b1441aa6f8ba98_.log 2024-12-18T00:16:01.6525401Z Running 0 items in this shard: 2024-12-18T00:16:01.6525614Z 2024-12-18T00:16:01.6526545Z Running functorch/test_aotdispatch 1/5 ... [2024-12-18 00:16:01.652517] 2024-12-18T00:16:01.6527016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:01.6530733Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:01.652840] 2024-12-18T00:16:06.9239171Z 2024-12-18T00:16:06.9240352Z functorch/test_aotdispatch 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.5_a369a1e1536d4d32_.log 2024-12-18T00:16:06.9241231Z Running 0 items in this shard: 2024-12-18T00:16:06.9241570Z 2024-12-18T00:16:06.9242215Z Running inductor/test_torchinductor_codegen_dynamic_shapes 3/4 ... [2024-12-18 00:16:06.924058] 2024-12-18T00:16:06.9242772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:06.9245619Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:06.924361] 2024-12-18T00:16:14.5988190Z 2024-12-18T00:16:14.5989448Z inductor/test_torchinductor_codegen_dynamic_shapes 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_3.4_72412cd973782cf9_.log 2024-12-18T00:16:14.5990529Z Running 0 items in this shard: 2024-12-18T00:16:14.5990815Z 2024-12-18T00:16:14.5991512Z Running inductor/test_torchinductor_dynamic_shapes 2/4 ... [2024-12-18 00:16:14.599000] 2024-12-18T00:16:14.5994482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:14.5995676Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.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'] ... [2024-12-18 00:16:14.599336] 2024-12-18T00:16:22.1235693Z 2024-12-18T00:16:22.1236838Z inductor/test_torchinductor_dynamic_shapes 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.4_7d40124a9aa65f16_.log 2024-12-18T00:16:22.1237825Z Running 0 items in this shard: 2024-12-18T00:16:22.1238036Z 2024-12-18T00:16:22.1238618Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2024-12-18 00:16:22.123718] 2024-12-18T00:16:22.1239144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:22.1242008Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.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'] ... [2024-12-18 00:16:22.124003] 2024-12-18T00:16:25.4548292Z 2024-12-18T00:16:25.4549376Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_f3b361f5a842e6d2_.log 2024-12-18T00:16:25.4550247Z 2024-12-18T00:16:25.4551284Z Running functorch/test_ops 3/6 ... [2024-12-18 00:16:25.454987] 2024-12-18T00:16:25.4551722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:25.4555053Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:25.455308] 2024-12-18T00:16:31.6277060Z 2024-12-18T00:16:31.6277767Z functorch/test_ops 3/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.6_cd65375e47d1327c_.log 2024-12-18T00:16:31.6278518Z Running 0 items in this shard: 2024-12-18T00:16:31.6278709Z 2024-12-18T00:16:31.6280040Z Running inductor/test_snode_runtime 1/1 ... [2024-12-18 00:16:31.627866] 2024-12-18T00:16:31.6280503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:31.6283653Z 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'] ... [2024-12-18 00:16:31.628158] 2024-12-18T00:16:35.4858234Z 2024-12-18T00:16:35.4859225Z 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_e233eddbb4cd71d6_.log 2024-12-18T00:16:35.4859970Z 2024-12-18T00:16:35.4860611Z Running inductor/test_profiler 1/1 ... [2024-12-18 00:16:35.485931] 2024-12-18T00:16:35.4863639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:35.4864801Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_profiler.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'] ... [2024-12-18 00:16:35.486216] 2024-12-18T00:16:38.7986507Z 2024-12-18T00:16:38.7987445Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_a13fab412a959eb9_.log 2024-12-18T00:16:38.7988177Z 2024-12-18T00:16:38.7988820Z Running inductor/test_cudagraph_trees 1/1 ... [2024-12-18 00:16:38.798754] 2024-12-18T00:16:38.7989290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:38.7992189Z 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'] ... [2024-12-18 00:16:38.799030] 2024-12-18T00:16:42.6608957Z 2024-12-18T00:16:42.6609790Z 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_77a2228801b67abf_.log 2024-12-18T00:16:42.6610535Z 2024-12-18T00:16:42.6611536Z Running inductor/test_cpu_select_algorithm 3/17 ... [2024-12-18 00:16:42.661014] 2024-12-18T00:16:42.6612035Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:42.6615305Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=3', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:42.661340] 2024-12-18T00:16:50.2358349Z 2024-12-18T00:16:50.2359444Z inductor/test_cpu_select_algorithm 3/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_3.17_bf3b44eb9a547cf8_.log 2024-12-18T00:16:50.2360351Z Running 0 items in this shard: 2024-12-18T00:16:50.2360546Z 2024-12-18T00:16:50.2360814Z Running inductor/test_cpu_select_algorithm 6/17 ... [2024-12-18 00:16:50.235919] 2024-12-18T00:16:50.2361284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:50.2364780Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:50.236222] 2024-12-18T00:16:57.8105201Z 2024-12-18T00:16:57.8106230Z inductor/test_cpu_select_algorithm 6/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_6.17_55ca5b507ede80d4_.log 2024-12-18T00:16:57.8107141Z Running 0 items in this shard: 2024-12-18T00:16:57.8107349Z 2024-12-18T00:16:57.8108657Z Running inductor/test_cpu_select_algorithm 8/17 ... [2024-12-18 00:16:57.810713] 2024-12-18T00:16:57.8109148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:16:57.8112670Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=8', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:16:57.811033] 2024-12-18T00:17:05.3892457Z 2024-12-18T00:17:05.3893603Z inductor/test_cpu_select_algorithm 8/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_8.17_e1d5ff655ade8c95_.log 2024-12-18T00:17:05.3894542Z Running 0 items in this shard: 2024-12-18T00:17:05.3894738Z 2024-12-18T00:17:05.3894963Z Running dynamo/test_sources 1/1 ... [2024-12-18 00:17:05.389382] 2024-12-18T00:17:05.3895391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:05.3898835Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_sources.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'] ... [2024-12-18 00:17:05.389673] 2024-12-18T00:17:08.8084403Z 2024-12-18T00:17:08.8085301Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_37a086c4f18cd30c_.log 2024-12-18T00:17:08.8086089Z Running 0 items in this shard: 2024-12-18T00:17:08.8086283Z 2024-12-18T00:17:08.8087423Z Running dynamo/test_model_output 1/1 ... [2024-12-18 00:17:08.808592] 2024-12-18T00:17:08.8087875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:08.8091048Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_model_output.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'] ... [2024-12-18 00:17:08.808892] 2024-12-18T00:17:12.2275827Z 2024-12-18T00:17:12.2276644Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_476a8262ae19de86_.log 2024-12-18T00:17:12.2277458Z Running 0 items in this shard: 2024-12-18T00:17:12.2277666Z 2024-12-18T00:17:12.2278778Z Running inductor/test_memory_planning 1/1 ... [2024-12-18 00:17:12.227717] 2024-12-18T00:17:12.2279250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:12.2282513Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_memory_planning.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'] ... [2024-12-18 00:17:12.228030] 2024-12-18T00:17:15.5276780Z 2024-12-18T00:17:15.5277778Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_4959badf063fd2a3_.log 2024-12-18T00:17:15.5278522Z 2024-12-18T00:17:15.5279877Z Running higher_order_ops/test_with_effects 1/1 ... [2024-12-18 00:17:15.527830] 2024-12-18T00:17:15.5280352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:15.5283591Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'higher_order_ops/test_with_effects.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'] ... [2024-12-18 00:17:15.528137] 2024-12-18T00:17:19.2973196Z 2024-12-18T00:17:19.2974217Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_1ff25ab70990d8f7_.log 2024-12-18T00:17:19.2975114Z Running 0 items in this shard: 2024-12-18T00:17:19.2975309Z 2024-12-18T00:17:19.2976127Z Running export/test_passes 1/1 ... [2024-12-18 00:17:19.297462] 2024-12-18T00:17:19.2976600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:19.2980037Z 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'] ... [2024-12-18 00:17:19.297767] 2024-12-18T00:17:23.3172156Z 2024-12-18T00:17:23.3173069Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_cc7a6ef79287978d_.log 2024-12-18T00:17:23.3174087Z Running 0 items in this shard: 2024-12-18T00:17:23.3174285Z 2024-12-18T00:17:23.3175507Z Running dynamo/test_structured_trace 1/1 ... [2024-12-18 00:17:23.317389] 2024-12-18T00:17:23.3175961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:23.3179008Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_structured_trace.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'] ... [2024-12-18 00:17:23.317696] 2024-12-18T00:17:26.7364701Z 2024-12-18T00:17:26.7365696Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_fb40332cf99521f5_.log 2024-12-18T00:17:26.7366547Z Running 0 items in this shard: 2024-12-18T00:17:26.7366744Z 2024-12-18T00:17:26.7367882Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2024-12-18 00:17:26.736623] 2024-12-18T00:17:26.7368465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:26.7371417Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.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'] ... [2024-12-18 00:17:26.736929] 2024-12-18T00:17:33.1597058Z 2024-12-18T00:17:33.1598345Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_28e24c223b794f11_.log 2024-12-18T00:17:33.1599435Z Running 0 items in this shard: 2024-12-18T00:17:33.1599645Z 2024-12-18T00:17:33.1600149Z Running dynamo/test_decorators 1/1 ... [2024-12-18 00:17:33.159844] 2024-12-18T00:17:33.1600588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:33.1603880Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_decorators.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'] ... [2024-12-18 00:17:33.160158] 2024-12-18T00:17:36.5789646Z 2024-12-18T00:17:36.5790608Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_6deb004106103300_.log 2024-12-18T00:17:36.5791501Z Running 0 items in this shard: 2024-12-18T00:17:36.5791694Z 2024-12-18T00:17:36.5792386Z Running lazy/test_ts_opinfo 1/1 ... [2024-12-18 00:17:36.579088] 2024-12-18T00:17:36.5792792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:36.5796065Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2024-12-18 00:17:36.579401] 2024-12-18T00:17:40.7991658Z 2024-12-18T00:17:40.7992519Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_5b4cbec34170564e_.log 2024-12-18T00:17:40.7993278Z Running 0 items in this shard: 2024-12-18T00:17:40.7993471Z 2024-12-18T00:17:40.7994953Z Running inductor/test_fused_attention 1/1 ... [2024-12-18 00:17:40.799345] 2024-12-18T00:17:40.7995435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:40.7998655Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:17:40.799654] 2024-12-18T00:17:47.2725782Z 2024-12-18T00:17:47.2726793Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_01f045b5deb91d3a_.log 2024-12-18T00:17:47.2728142Z Running 0 items in this shard: 2024-12-18T00:17:47.2728353Z 2024-12-18T00:17:47.2728723Z Running inductor/test_torchbind 1/1 ... [2024-12-18 00:17:47.272733] 2024-12-18T00:17:47.2729168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:47.2732422Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchbind.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'] ... [2024-12-18 00:17:47.273047] 2024-12-18T00:17:50.8420376Z 2024-12-18T00:17:50.8421384Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_b9666ea043c36d05_.log 2024-12-18T00:17:50.8422206Z Running 0 items in this shard: 2024-12-18T00:17:50.8422416Z 2024-12-18T00:17:50.8422943Z Running dynamo/test_compiler_bisector 1/1 ... [2024-12-18 00:17:50.842146] 2024-12-18T00:17:50.8423421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:50.8426606Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_compiler_bisector.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'] ... [2024-12-18 00:17:50.842461] 2024-12-18T00:17:54.3112479Z 2024-12-18T00:17:54.3113461Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_f4e2552bd0cf6b85_.log 2024-12-18T00:17:54.3114328Z Running 0 items in this shard: 2024-12-18T00:17:54.3114538Z 2024-12-18T00:17:54.3115645Z Running inductor/test_codecache 1/1 ... [2024-12-18 00:17:54.311430] 2024-12-18T00:17:54.3116099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:54.3119303Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_codecache.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'] ... [2024-12-18 00:17:54.311743] 2024-12-18T00:17:58.3814212Z 2024-12-18T00:17:58.3815150Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_5f2401f9e19200cb_.log 2024-12-18T00:17:58.3815958Z Running 0 items in this shard: 2024-12-18T00:17:58.3816167Z 2024-12-18T00:17:58.3817104Z Running dynamo/test_modes 1/1 ... [2024-12-18 00:17:58.381553] 2024-12-18T00:17:58.3817526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:17:58.3820575Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_modes.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'] ... [2024-12-18 00:17:58.381863] 2024-12-18T00:18:01.9008278Z 2024-12-18T00:18:01.9009046Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_c56f86d5a04df5f4_.log 2024-12-18T00:18:01.9010055Z Running 0 items in this shard: 2024-12-18T00:18:01.9010261Z 2024-12-18T00:18:01.9010901Z Running dynamo/test_profiler 1/1 ... [2024-12-18 00:18:01.900955] 2024-12-18T00:18:01.9011331Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:01.9014590Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_profiler.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'] ... [2024-12-18 00:18:01.901266] 2024-12-18T00:18:05.3700374Z 2024-12-18T00:18:05.3701507Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_d2ebd30c736c8f1a_.log 2024-12-18T00:18:05.3702334Z Running 0 items in this shard: 2024-12-18T00:18:05.3702602Z 2024-12-18T00:18:05.3703874Z Running dynamo/test_aot_autograd_cache 1/1 ... [2024-12-18 00:18:05.370242] 2024-12-18T00:18:05.3704356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:05.3707468Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.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'] ... [2024-12-18 00:18:05.370553] 2024-12-18T00:18:08.8393158Z 2024-12-18T00:18:08.8394345Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_2ba93919ebc5ab99_.log 2024-12-18T00:18:08.8395231Z Running 0 items in this shard: 2024-12-18T00:18:08.8395424Z 2024-12-18T00:18:08.8396432Z Running dynamo/test_graph_deduplication 1/1 ... [2024-12-18 00:18:08.839493] 2024-12-18T00:18:08.8396908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:08.8400083Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_graph_deduplication.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'] ... [2024-12-18 00:18:08.839809] 2024-12-18T00:18:12.3085927Z 2024-12-18T00:18:12.3086885Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_2ddfa631164dc01a_.log 2024-12-18T00:18:12.3087791Z Running 0 items in this shard: 2024-12-18T00:18:12.3087983Z 2024-12-18T00:18:12.3089161Z Running export/test_schema 1/1 ... [2024-12-18 00:18:12.308780] 2024-12-18T00:18:12.3089583Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:12.3092838Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_schema.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'] ... [2024-12-18 00:18:12.309096] 2024-12-18T00:18:15.8279165Z 2024-12-18T00:18:15.8280071Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_9a45c87bbc1b5672_.log 2024-12-18T00:18:15.8280824Z Running 0 items in this shard: 2024-12-18T00:18:15.8281029Z 2024-12-18T00:18:15.8282516Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2024-12-18 00:18:15.828109] 2024-12-18T00:18:15.8283034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:15.8286188Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.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'] ... [2024-12-18 00:18:15.828427] 2024-12-18T00:18:23.1022296Z 2024-12-18T00:18:23.1023355Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_477018c2e49127e5_.log 2024-12-18T00:18:23.1024570Z Running 0 items in this shard: 2024-12-18T00:18:23.1024766Z 2024-12-18T00:18:23.1025117Z Running dynamo/test_export 1/1 ... [2024-12-18 00:18:23.102364] 2024-12-18T00:18:23.1025541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:23.1028387Z 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'] ... [2024-12-18 00:18:23.102650] 2024-12-18T00:18:26.6215969Z 2024-12-18T00:18:26.6217246Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_40be6852bec65bf2_.log 2024-12-18T00:18:26.6218056Z Running 0 items in this shard: 2024-12-18T00:18:26.6218257Z 2024-12-18T00:18:26.6218965Z Running export/test_unflatten 1/1 ... [2024-12-18 00:18:26.621756] 2024-12-18T00:18:26.6219398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:26.6222781Z 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'] ... [2024-12-18 00:18:26.622073] 2024-12-18T00:18:30.1409699Z 2024-12-18T00:18:30.1411003Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_7169751d8f945859_.log 2024-12-18T00:18:30.1411807Z Running 0 items in this shard: 2024-12-18T00:18:30.1412017Z 2024-12-18T00:18:30.1413090Z Running inductor/test_dependencies 1/1 ... [2024-12-18 00:18:30.141159] 2024-12-18T00:18:30.1413565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:30.1416840Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_dependencies.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'] ... [2024-12-18 00:18:30.141486] 2024-12-18T00:18:37.0148158Z 2024-12-18T00:18:37.0149127Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_f8fcd1efcf20a023_.log 2024-12-18T00:18:37.0149873Z 2024-12-18T00:18:37.0150980Z Running dynamo/test_optimizers 1/1 ... [2024-12-18 00:18:37.014957] 2024-12-18T00:18:37.0151424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:37.0154219Z 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'] ... [2024-12-18 00:18:37.015229] 2024-12-18T00:18:40.4339431Z 2024-12-18T00:18:40.4340379Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_326bc806af79fb31_.log 2024-12-18T00:18:40.4341201Z Running 0 items in this shard: 2024-12-18T00:18:40.4341445Z 2024-12-18T00:18:40.4342165Z Running test_ops_jit 1/2 ... [2024-12-18 00:18:40.434092] 2024-12-18T00:18:40.4342559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:40.4345577Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:18:40.434367] 2024-12-18T00:18:44.8043697Z 2024-12-18T00:18:44.8044548Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_8524f74027f63d36_.log 2024-12-18T00:18:44.8045246Z Running 0 items in this shard: 2024-12-18T00:18:44.8045517Z 2024-12-18T00:18:44.8046572Z Running inductor/test_padding 1/1 ... [2024-12-18 00:18:44.804510] 2024-12-18T00:18:44.8047214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:44.8049789Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_padding.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'] ... [2024-12-18 00:18:44.804790] 2024-12-18T00:18:48.5310658Z 2024-12-18T00:18:48.5311614Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_d3155646b398b4ff_.log 2024-12-18T00:18:48.5312287Z 2024-12-18T00:18:48.5313432Z Running test_ops 5/5 ... [2024-12-18 00:18:48.531191] 2024-12-18T00:18:48.5313816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:48.5316630Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:18:48.531463] 2024-12-18T00:18:58.0081350Z 2024-12-18T00:18:58.0082234Z test_ops 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.5_6d97df99d1dc6899_.log 2024-12-18T00:18:58.0082966Z Running 0 items in this shard: 2024-12-18T00:18:58.0083201Z 2024-12-18T00:18:58.0084109Z Running lazy/test_extract_compiled_graph 1/1 ... [2024-12-18 00:18:58.008276] 2024-12-18T00:18:58.0084823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:58.0087499Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_extract_compiled_graph.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'] ... [2024-12-18 00:18:58.008558] 2024-12-18T00:18:59.5286493Z 2024-12-18T00:18:59.5287507Z lazy/test_extract_compiled_graph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_extract_compiled_graph_1.1_a6d2b022414351c2_.log 2024-12-18T00:18:59.5288387Z 2024-12-18T00:18:59.5288987Z Running test_transformers 2/2 ... [2024-12-18 00:18:59.528777] 2024-12-18T00:18:59.5289403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:18:59.5292314Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_transformers.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'] ... [2024-12-18 00:18:59.529052] 2024-12-18T00:19:04.4499103Z 2024-12-18T00:19:04.4499969Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_ec4ee8fe83f60d9e_.log 2024-12-18T00:19:04.4500749Z Running 0 items in this shard: 2024-12-18T00:19:04.4500994Z 2024-12-18T00:19:04.4502093Z Running torch_np/test_basic 1/1 ... [2024-12-18 00:19:04.450051] 2024-12-18T00:19:04.4502532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:04.4505089Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_basic.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'] ... [2024-12-18 00:19:04.450325] 2024-12-18T00:19:07.9693405Z 2024-12-18T00:19:07.9694340Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_31e18eb7afd10d89_.log 2024-12-18T00:19:07.9695097Z Running 0 items in this shard: 2024-12-18T00:19:07.9695382Z 2024-12-18T00:19:07.9696349Z Running test_complex 1/1 ... [2024-12-18 00:19:07.969496] 2024-12-18T00:19:07.9696745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:07.9700096Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_complex.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'] ... [2024-12-18 00:19:07.969807] 2024-12-18T00:19:11.2884318Z 2024-12-18T00:19:11.2885147Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_d2a42e6a4c17d315_.log 2024-12-18T00:19:11.2887180Z Running 0 items in this shard: 2024-12-18T00:19:11.2887426Z 2024-12-18T00:19:11.2887636Z Running test_tensorexpr_pybind 1/1 ... [2024-12-18 00:19:11.288604] 2024-12-18T00:19:11.2888133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:11.2891413Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensorexpr_pybind.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'] ... [2024-12-18 00:19:11.288906] 2024-12-18T00:19:14.8079435Z 2024-12-18T00:19:14.8080365Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_c4fc8a5303f4c4d9_.log 2024-12-18T00:19:14.8081498Z Running 0 items in this shard: 2024-12-18T00:19:14.8081744Z 2024-12-18T00:19:14.8082220Z Running test_type_hints 1/1 ... [2024-12-18 00:19:14.808072] 2024-12-18T00:19:14.8082610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:14.8086120Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_hints.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'] ... [2024-12-18 00:19:14.808393] 2024-12-18T00:19:18.2771476Z 2024-12-18T00:19:18.2772361Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_3cb6a3504197e255_.log 2024-12-18T00:19:18.2773174Z Running 0 items in this shard: 2024-12-18T00:19:18.2773368Z 2024-12-18T00:19:18.2774582Z Running functorch/test_minifier 1/1 ... [2024-12-18 00:19:18.277311] 2024-12-18T00:19:18.2775065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:18.2778211Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/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'] ... [2024-12-18 00:19:18.277616] 2024-12-18T00:19:21.6963302Z 2024-12-18T00:19:21.6964145Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_ced1d2af3f6892a7_.log 2024-12-18T00:19:21.6965002Z Running 0 items in this shard: 2024-12-18T00:19:21.6965250Z 2024-12-18T00:19:21.6966377Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2024-12-18 00:19:21.696482] 2024-12-18T00:19:21.6966928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:21.6969996Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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'] ... [2024-12-18 00:19:21.696796] 2024-12-18T00:19:25.2658190Z 2024-12-18T00:19:25.2659224Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_dfbecdf7e73642ce_.log 2024-12-18T00:19:25.2660166Z Running 0 items in this shard: 2024-12-18T00:19:25.2660368Z 2024-12-18T00:19:25.2661077Z Running test_per_overload_api 1/1 ... [2024-12-18 00:19:25.265968] 2024-12-18T00:19:25.2661508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:25.2664719Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_per_overload_api.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'] ... [2024-12-18 00:19:25.266270] 2024-12-18T00:19:28.6850623Z 2024-12-18T00:19:28.6851622Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_df92f62bb773793c_.log 2024-12-18T00:19:28.6852718Z Running 0 items in this shard: 2024-12-18T00:19:28.6852956Z 2024-12-18T00:19:28.6853593Z Running test_numpy_interop 1/1 ... [2024-12-18 00:19:28.685225] 2024-12-18T00:19:28.6854016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:28.6857260Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:19:28.685532] 2024-12-18T00:19:32.0542589Z 2024-12-18T00:19:32.0543820Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_12197fb52f6c3990_.log 2024-12-18T00:19:32.0544583Z Running 0 items in this shard: 2024-12-18T00:19:32.0544901Z 2024-12-18T00:19:32.0545879Z Running nn/test_multihead_attention 1/1 ... [2024-12-18 00:19:32.054432] 2024-12-18T00:19:32.0546402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:32.0549385Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:19:32.054739] 2024-12-18T00:19:35.4234763Z 2024-12-18T00:19:35.4236044Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_4629df00bdb95d49_.log 2024-12-18T00:19:35.4236971Z Running 0 items in this shard: 2024-12-18T00:19:35.4237167Z 2024-12-18T00:19:35.4238970Z Running test_fx_experimental 1/1 ... [2024-12-18 00:19:35.423705] 2024-12-18T00:19:35.4239402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:35.4243167Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx_experimental.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'] ... [2024-12-18 00:19:35.424100] 2024-12-18T00:19:39.9943401Z 2024-12-18T00:19:39.9944318Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_952c956f6ad31da7_.log 2024-12-18T00:19:39.9945098Z Running 0 items in this shard: 2024-12-18T00:19:39.9945366Z 2024-12-18T00:19:39.9946599Z Running functorch/test_logging 1/1 ... [2024-12-18 00:19:39.994504] 2024-12-18T00:19:39.9947036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:39.9950014Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_logging.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'] ... [2024-12-18 00:19:39.994815] 2024-12-18T00:19:43.4135173Z 2024-12-18T00:19:43.4136070Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_925dfd4f37fdf1a7_.log 2024-12-18T00:19:43.4136861Z Running 0 items in this shard: 2024-12-18T00:19:43.4137118Z 2024-12-18T00:19:43.4138299Z Running test_native_functions 1/1 ... [2024-12-18 00:19:43.413678] 2024-12-18T00:19:43.4138731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:43.4141779Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:19:43.413990] 2024-12-18T00:19:46.8828121Z 2024-12-18T00:19:46.8829070Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_eae88d9dd63de199_.log 2024-12-18T00:19:46.8829866Z Running 0 items in this shard: 2024-12-18T00:19:46.8830303Z 2024-12-18T00:19:46.8830833Z Running functorch/test_control_flow 1/1 ... [2024-12-18 00:19:46.882946] 2024-12-18T00:19:46.8831291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:46.8834527Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_control_flow.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'] ... [2024-12-18 00:19:46.883247] 2024-12-18T00:19:50.6523876Z 2024-12-18T00:19:50.6524845Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_4330f3203c95c1b9_.log 2024-12-18T00:19:50.6525924Z Running 0 items in this shard: 2024-12-18T00:19:50.6526231Z 2024-12-18T00:19:50.6526866Z Running torch_np/test_ufuncs_basic 1/1 ... [2024-12-18 00:19:50.652549] 2024-12-18T00:19:50.6527439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:50.6530462Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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'] ... [2024-12-18 00:19:50.652842] 2024-12-18T00:19:54.1715676Z 2024-12-18T00:19:54.1716822Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_f9c14cf9fac4cd28_.log 2024-12-18T00:19:54.1717668Z Running 0 items in this shard: 2024-12-18T00:19:54.1717926Z 2024-12-18T00:19:54.1718906Z Running functorch/test_ac 1/1 ... [2024-12-18 00:19:54.171739] 2024-12-18T00:19:54.1719332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:54.1722414Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_ac.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'] ... [2024-12-18 00:19:54.172047] 2024-12-18T00:19:57.4317015Z 2024-12-18T00:19:57.4317941Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_76faf1d3851d0bd4_.log 2024-12-18T00:19:57.4318580Z 2024-12-18T00:19:57.4319936Z Running nn/test_packed_sequence 1/1 ... [2024-12-18 00:19:57.431845] 2024-12-18T00:19:57.4320415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:19:57.4323716Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_packed_sequence.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'] ... [2024-12-18 00:19:57.432171] 2024-12-18T00:20:00.8508805Z 2024-12-18T00:20:00.8509754Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_c60f11818e8df752_.log 2024-12-18T00:20:00.8510570Z Running 0 items in this shard: 2024-12-18T00:20:00.8510881Z 2024-12-18T00:20:00.8511541Z Running test_sympy_utils 1/1 ... [2024-12-18 00:20:00.851024] 2024-12-18T00:20:00.8512024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:00.8515364Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sympy_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'] ... [2024-12-18 00:20:00.851328] 2024-12-18T00:20:04.2199731Z 2024-12-18T00:20:04.2200576Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_0c6a7bec5ecdd116_.log 2024-12-18T00:20:04.2201334Z Running 0 items in this shard: 2024-12-18T00:20:04.2201594Z 2024-12-18T00:20:04.2202856Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2024-12-18 00:20:04.220125] 2024-12-18T00:20:04.2203357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:04.2206433Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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'] ... [2024-12-18 00:20:04.220441] 2024-12-18T00:20:07.6392126Z 2024-12-18T00:20:07.6393193Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_60c144b356892eeb_.log 2024-12-18T00:20:07.6394095Z Running 0 items in this shard: 2024-12-18T00:20:07.6394303Z 2024-12-18T00:20:07.6395261Z Running test_sparse_semi_structured 1/1 ... [2024-12-18 00:20:07.639385] 2024-12-18T00:20:07.6395908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:07.6399015Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sparse_semi_structured.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'] ... [2024-12-18 00:20:07.639690] 2024-12-18T00:20:11.1085747Z 2024-12-18T00:20:11.1086694Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_d093dd9ebfdb7853_.log 2024-12-18T00:20:11.1087538Z Running 0 items in this shard: 2024-12-18T00:20:11.1087744Z 2024-12-18T00:20:11.1089206Z Running nn/test_parametrization 1/1 ... [2024-12-18 00:20:11.108745] 2024-12-18T00:20:11.1089649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:11.1092406Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_parametrization.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'] ... [2024-12-18 00:20:11.109052] 2024-12-18T00:20:14.6279272Z 2024-12-18T00:20:14.6280173Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_720635aed01b9f04_.log 2024-12-18T00:20:14.6281011Z Running 0 items in this shard: 2024-12-18T00:20:14.6281210Z 2024-12-18T00:20:14.6282626Z Running functorch/test_vmap 1/1 ... [2024-12-18 00:20:14.628109] 2024-12-18T00:20:14.6291961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:14.6293108Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_vmap.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'] ... [2024-12-18 00:20:14.628429] 2024-12-18T00:20:19.4490073Z 2024-12-18T00:20:19.4490995Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_eb107c1f1824f9a0_.log 2024-12-18T00:20:19.4493141Z Running 0 items in this shard: 2024-12-18T00:20:19.4493555Z 2024-12-18T00:20:19.4493945Z Running test_flop_counter 1/1 ... [2024-12-18 00:20:19.449150] 2024-12-18T00:20:19.4494411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:19.4497162Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_flop_counter.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'] ... [2024-12-18 00:20:19.449464] 2024-12-18T00:20:23.1687652Z 2024-12-18T00:20:23.1688810Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_6796b98a87b62bcb_.log 2024-12-18T00:20:23.1689558Z Running 0 items in this shard: 2024-12-18T00:20:23.1689769Z 2024-12-18T00:20:23.1690998Z Running test_bundled_inputs 1/1 ... [2024-12-18 00:20:23.168927] 2024-12-18T00:20:23.1691659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:23.1694587Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_bundled_inputs.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'] ... [2024-12-18 00:20:23.169240] 2024-12-18T00:20:26.6880507Z 2024-12-18T00:20:26.6881813Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_d3aee27bac62fdd9_.log 2024-12-18T00:20:26.6882572Z Running 0 items in this shard: 2024-12-18T00:20:26.6882803Z 2024-12-18T00:20:26.6883592Z Running test_numba_integration 1/1 ... [2024-12-18 00:20:26.688201] 2024-12-18T00:20:26.6884034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:26.6887410Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_numba_integration.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'] ... [2024-12-18 00:20:26.688516] 2024-12-18T00:20:30.2075424Z 2024-12-18T00:20:30.2076697Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_0d8dac18e804bf47_.log 2024-12-18T00:20:30.2077494Z Running 0 items in this shard: 2024-12-18T00:20:30.2077689Z 2024-12-18T00:20:30.2078454Z Running test_itt 1/1 ... [2024-12-18 00:20:30.207703] 2024-12-18T00:20:30.2079101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:30.2082549Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_itt.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'] ... [2024-12-18 00:20:30.208015] 2024-12-18T00:20:33.5264848Z 2024-12-18T00:20:33.5265921Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_504a91fe026a6b61_.log 2024-12-18T00:20:33.5266610Z Running 0 items in this shard: 2024-12-18T00:20:33.5266807Z 2024-12-18T00:20:33.5268169Z Running profiler/test_profiler_tree 1/1 ... [2024-12-18 00:20:33.526654] 2024-12-18T00:20:33.5268824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:33.5271808Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'profiler/test_profiler_tree.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'] ... [2024-12-18 00:20:33.526964] 2024-12-18T00:20:36.8955125Z 2024-12-18T00:20:36.8956533Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_6dfd3e9428d2a086_.log 2024-12-18T00:20:36.8957385Z Running 0 items in this shard: 2024-12-18T00:20:36.8957596Z 2024-12-18T00:20:36.8958235Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2024-12-18 00:20:36.895661] 2024-12-18T00:20:36.8958953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:36.8962622Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.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'] ... [2024-12-18 00:20:36.895992] 2024-12-18T00:20:40.2645997Z 2024-12-18T00:20:40.2647298Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_3677d56ec50be00b_.log 2024-12-18T00:20:40.2648251Z Running 0 items in this shard: 2024-12-18T00:20:40.2648447Z 2024-12-18T00:20:40.2649213Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2024-12-18 00:20:40.264762] 2024-12-18T00:20:40.2649890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:40.2653272Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.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'] ... [2024-12-18 00:20:40.265099] 2024-12-18T00:20:43.6837867Z 2024-12-18T00:20:43.6839490Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_8c6f96ac67e62ffa_.log 2024-12-18T00:20:43.6841000Z Running 0 items in this shard: 2024-12-18T00:20:43.6841335Z 2024-12-18T00:20:43.6841845Z Running test_fx_reinplace_pass 1/1 ... [2024-12-18 00:20:43.684031] 2024-12-18T00:20:43.6842535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:43.6847683Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx_reinplace_pass.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'] ... [2024-12-18 00:20:43.684446] 2024-12-18T00:20:47.0531487Z 2024-12-18T00:20:47.0532821Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_36f8dd29df0bb09e_.log 2024-12-18T00:20:47.0533649Z Running 0 items in this shard: 2024-12-18T00:20:47.0533910Z 2024-12-18T00:20:47.0535076Z Running test_fx_passes 1/1 ... [2024-12-18 00:20:47.053343] 2024-12-18T00:20:47.0535743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:47.0538824Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_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'] ... [2024-12-18 00:20:47.053644] 2024-12-18T00:20:50.4222201Z 2024-12-18T00:20:50.4223334Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_4ff4a35a0ec226a9_.log 2024-12-18T00:20:50.4224064Z Running 0 items in this shard: 2024-12-18T00:20:50.4224276Z 2024-12-18T00:20:50.4225248Z Running test_segment_reductions 1/1 ... [2024-12-18 00:20:50.422381] 2024-12-18T00:20:50.4225922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:50.4228988Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_segment_reductions.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'] ... [2024-12-18 00:20:50.422677] 2024-12-18T00:20:53.6911734Z 2024-12-18T00:20:53.6912938Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_33fa1dc8fd8225a9_.log 2024-12-18T00:20:53.6913779Z Running 0 items in this shard: 2024-12-18T00:20:53.6914061Z 2024-12-18T00:20:53.6914886Z Running test_legacy_vmap 1/1 ... [2024-12-18 00:20:53.691329] 2024-12-18T00:20:53.6915531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:53.6918413Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_legacy_vmap.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'] ... [2024-12-18 00:20:53.691624] 2024-12-18T00:20:57.0102062Z 2024-12-18T00:20:57.0103217Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_069e0eda2e8f7a4e_.log 2024-12-18T00:20:57.0104024Z Running 0 items in this shard: 2024-12-18T00:20:57.0104278Z 2024-12-18T00:20:57.0105118Z Running test_subclass 1/1 ... [2024-12-18 00:20:57.010346] 2024-12-18T00:20:57.0105768Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:20:57.0108629Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_subclass.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'] ... [2024-12-18 00:20:57.010640] 2024-12-18T00:21:00.4303258Z 2024-12-18T00:21:00.4304562Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_e4e8bd596ba0411a_.log 2024-12-18T00:21:00.4305283Z Running 0 items in this shard: 2024-12-18T00:21:00.4305480Z 2024-12-18T00:21:00.4306726Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2024-12-18 00:21:00.430496] 2024-12-18T00:21:00.4307396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:00.4310213Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2024-12-18 00:21:00.430793] 2024-12-18T00:21:03.8995197Z 2024-12-18T00:21:03.8996734Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_240f5aa3b2444a5f_.log 2024-12-18T00:21:03.8997809Z Running 0 items in this shard: 2024-12-18T00:21:03.8998103Z 2024-12-18T00:21:03.8998418Z Running test_dlpack 1/1 ... [2024-12-18 00:21:03.899680] 2024-12-18T00:21:03.8998971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:03.9002034Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dlpack.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'] ... [2024-12-18 00:21:03.899975] 2024-12-18T00:21:07.2186588Z 2024-12-18T00:21:07.2187596Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_f3aa4ced3ea3acf2_.log 2024-12-18T00:21:07.2188860Z Running 0 items in this shard: 2024-12-18T00:21:07.2189094Z 2024-12-18T00:21:07.2189664Z Running nn/test_embedding 1/1 ... [2024-12-18 00:21:07.218823] 2024-12-18T00:21:07.2190439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:07.2193988Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_embedding.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'] ... [2024-12-18 00:21:07.219163] 2024-12-18T00:21:10.6377599Z 2024-12-18T00:21:10.6378739Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_86c8871e3f645896_.log 2024-12-18T00:21:10.6379528Z Running 0 items in this shard: 2024-12-18T00:21:10.6379740Z 2024-12-18T00:21:10.6381338Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2024-12-18 00:21:10.637959] 2024-12-18T00:21:10.6381989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:10.6385154Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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'] ... [2024-12-18 00:21:10.638273] 2024-12-18T00:21:14.0570953Z 2024-12-18T00:21:14.0572215Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_3e0d5e862fca5b85_.log 2024-12-18T00:21:14.0573149Z Running 0 items in this shard: 2024-12-18T00:21:14.0573396Z 2024-12-18T00:21:14.0574173Z Running test_masked 1/1 ... [2024-12-18 00:21:14.057265] 2024-12-18T00:21:14.0574833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:14.0578232Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_masked.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'] ... [2024-12-18 00:21:14.057587] 2024-12-18T00:21:18.2774184Z 2024-12-18T00:21:18.2775260Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_67b3d714e1d52e45_.log 2024-12-18T00:21:18.2776205Z Running 0 items in this shard: 2024-12-18T00:21:18.2776409Z 2024-12-18T00:21:18.2777494Z Running test_jit 1/1 ... [2024-12-18 00:21:18.277598] 2024-12-18T00:21:18.2778121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:18.2781556Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit.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'] ... [2024-12-18 00:21:18.277919] 2024-12-18T00:21:23.6991609Z 2024-12-18T00:21:23.6992437Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_36b4fb25dac74af1_.log 2024-12-18T00:21:23.6993374Z Running 0 items in this shard: 2024-12-18T00:21:23.6993670Z 2024-12-18T00:21:23.6994443Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2024-12-18 00:21:23.699291] 2024-12-18T00:21:23.6995048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:23.6997752Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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'] ... [2024-12-18 00:21:23.699575] 2024-12-18T00:21:27.1181388Z 2024-12-18T00:21:27.1182753Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_aef27d20c304e4e7_.log 2024-12-18T00:21:27.1183765Z Running 0 items in this shard: 2024-12-18T00:21:27.1183974Z 2024-12-18T00:21:27.1184345Z Running functorch/test_vmap_registrations 1/1 ... [2024-12-18 00:21:27.118294] 2024-12-18T00:21:27.1184839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:27.1187818Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_vmap_registrations.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'] ... [2024-12-18 00:21:27.118577] 2024-12-18T00:21:30.8877289Z 2024-12-18T00:21:30.8878330Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_b8cca73ce3b83281_.log 2024-12-18T00:21:30.8879272Z Running 0 items in this shard: 2024-12-18T00:21:30.8879493Z 2024-12-18T00:21:30.8880141Z Running profiler/test_memory_profiler 1/1 ... [2024-12-18 00:21:30.887872] 2024-12-18T00:21:30.8880599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:30.8883682Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'profiler/test_memory_profiler.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'] ... [2024-12-18 00:21:30.888168] 2024-12-18T00:21:34.2068030Z 2024-12-18T00:21:34.2069049Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_5709e1e528e16d65_.log 2024-12-18T00:21:34.2070032Z Running 0 items in this shard: 2024-12-18T00:21:34.2070228Z 2024-12-18T00:21:34.2070585Z Running test_maskedtensor 1/1 ... [2024-12-18 00:21:34.206925] 2024-12-18T00:21:34.2071007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:34.2074093Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_maskedtensor.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'] ... [2024-12-18 00:21:34.207209] 2024-12-18T00:21:38.5772571Z 2024-12-18T00:21:38.5773635Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_96d8ac950e5529f7_.log 2024-12-18T00:21:38.5774392Z Running 0 items in this shard: 2024-12-18T00:21:38.5774808Z 2024-12-18T00:21:38.5776478Z Running nn/test_dropout 1/1 ... [2024-12-18 00:21:38.577456] 2024-12-18T00:21:38.5776876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:38.5780531Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_dropout.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'] ... [2024-12-18 00:21:38.577853] 2024-12-18T00:21:42.0967432Z 2024-12-18T00:21:42.0968201Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_2fcae01aea5c28f4_.log 2024-12-18T00:21:42.0968926Z Running 0 items in this shard: 2024-12-18T00:21:42.0969124Z 2024-12-18T00:21:42.0971037Z Running test_meta 1/3 ... [2024-12-18 00:21:42.096873] 2024-12-18T00:21:42.0971468Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:42.0973644Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:21:42.097157] 2024-12-18T00:21:53.0759075Z 2024-12-18T00:21:53.0759861Z test_meta 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.3_64122aa3a038c6d1_.log 2024-12-18T00:21:53.0760530Z Running 0 items in this shard: 2024-12-18T00:21:53.0760965Z 2024-12-18T00:21:53.0762231Z Running test_unary_ufuncs 1/1 ... [2024-12-18 00:21:53.076055] 2024-12-18T00:21:53.0762666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:21:53.0765549Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_unary_ufuncs.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'] ... [2024-12-18 00:21:53.076365] 2024-12-18T00:22:01.1010905Z 2024-12-18T00:22:01.1011885Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_53f6cd506490c245_.log 2024-12-18T00:22:01.1012640Z Running 0 items in this shard: 2024-12-18T00:22:01.1012845Z 2024-12-18T00:22:01.1013976Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2024-12-18 00:22:01.101242] 2024-12-18T00:22:01.1014487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:01.1017303Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.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'] ... [2024-12-18 00:22:01.101533] 2024-12-18T00:22:04.5702954Z 2024-12-18T00:22:04.5704045Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_83547c5001827e70_.log 2024-12-18T00:22:04.5704987Z Running 0 items in this shard: 2024-12-18T00:22:04.5705228Z 2024-12-18T00:22:04.5705852Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2024-12-18 00:22:04.570444] 2024-12-18T00:22:04.5706356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:04.5709335Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2024-12-18 00:22:04.570740] 2024-12-18T00:22:08.0394706Z 2024-12-18T00:22:08.0395722Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_e3d7a51a2b076e05_.log 2024-12-18T00:22:08.0396579Z Running 0 items in this shard: 2024-12-18T00:22:08.0396774Z 2024-12-18T00:22:08.0397701Z Running test_jit_autocast 1/1 ... [2024-12-18 00:22:08.039625] 2024-12-18T00:22:08.0398161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:08.0401454Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit_autocast.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'] ... [2024-12-18 00:22:08.039940] 2024-12-18T00:22:12.9104790Z 2024-12-18T00:22:12.9105660Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_a990b40eaebc05cf_.log 2024-12-18T00:22:12.9106451Z Running 0 items in this shard: 2024-12-18T00:22:12.9106645Z 2024-12-18T00:22:12.9107447Z Running test_type_promotion 1/1 ... [2024-12-18 00:22:12.910610] 2024-12-18T00:22:12.9108148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:12.9110911Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_promotion.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'] ... [2024-12-18 00:22:12.910893] 2024-12-18T00:22:16.4296646Z 2024-12-18T00:22:16.4297474Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_88eef6a832e295bf_.log 2024-12-18T00:22:16.4298241Z Running 0 items in this shard: 2024-12-18T00:22:16.4298435Z 2024-12-18T00:22:16.4299565Z Running test_dataloader 1/1 ... [2024-12-18 00:22:16.429816] 2024-12-18T00:22:16.4300189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:16.4302956Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dataloader.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'] ... [2024-12-18 00:22:16.430097] 2024-12-18T00:22:20.0490054Z 2024-12-18T00:22:20.0490955Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_b32809f42843af57_.log 2024-12-18T00:22:20.0491695Z Running 0 items in this shard: 2024-12-18T00:22:20.0491890Z 2024-12-18T00:22:20.0493115Z Running test_quantization 1/2 ... [2024-12-18 00:22:20.049174] 2024-12-18T00:22:20.0493535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:20.0496625Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:22:20.049469] 2024-12-18T00:22:24.3693588Z 2024-12-18T00:22:24.3694472Z test_quantization 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.2_60adc170038b5a18_.log 2024-12-18T00:22:24.3695229Z Running 0 items in this shard: 2024-12-18T00:22:24.3695423Z 2024-12-18T00:22:24.3804420Z Running inductor/test_aot_inductor 1/1 ... [2024-12-18 00:22:24.380257] 2024-12-18T00:22:24.3804874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:24.3809694Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor.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'] ... [2024-12-18 00:22:24.380773] 2024-12-18T00:22:24.3906623Z Running inductor/test_aot_inductor_arrayref 1/4 ... [2024-12-18 00:22:24.390453] 2024-12-18T00:22:24.3907133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:24.3910161Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:22:24.390816] 2024-12-18T00:22:24.3954916Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2024-12-18 00:22:24.395303] 2024-12-18T00:22:24.3955633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:24.3960399Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:22:24.395813] 2024-12-18T00:22:31.7782022Z 2024-12-18T00:22:31.7782924Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_9983d7d2f4ee9e23_.log 2024-12-18T00:22:32.3416043Z 2024-12-18T00:22:32.3416567Z Uploading artifacts took 0.56 seconds 2024-12-18T00:22:33.4309542Z 2024-12-18T00:22:33.4310795Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_f527ec31fc858e7a_.log 2024-12-18T00:22:33.4311690Z 2024-12-18T00:22:35.4253690Z Running inductor/test_kernel_benchmark 1/1 ... [2024-12-18 00:22:35.425005] 2024-12-18T00:22:35.4254380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:35.4255893Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_kernel_benchmark.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'] ... [2024-12-18 00:22:35.425358] 2024-12-18T00:22:37.0348796Z Running inductor/test_torchinductor 4/4 ... [2024-12-18 00:22:37.034499] 2024-12-18T00:22:37.0349396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:37.0351299Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:22:37.034871] 2024-12-18T00:22:38.9160793Z 2024-12-18T00:22:38.9161857Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_93e05dc5b4f00302_.log 2024-12-18T00:22:38.9162654Z 2024-12-18T00:22:42.5544256Z Running inductor/test_torchinductor_opinfo 2/46 ... [2024-12-18 00:22:42.554063] 2024-12-18T00:22:42.5544969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:22:42.5547442Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=2', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:22:42.554391] 2024-12-18T00:26:25.4599040Z 2024-12-18T00:26:25.4600316Z PRINTING LOG FILE of inductor/test_aot_inductor_arrayref 1/4 (test/test-reports/inductor.test_aot_inductor_arrayref_1.4_47bc21aaa7153415_.log) 2024-12-18T00:26:25.4601776Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-47e2b8a9dd15a7b1.xml 2024-12-18T00:26:25.4602629Z ============================= test session starts ============================== 2024-12-18T00:26:25.4603227Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:26:25.4603780Z cachedir: .pytest_cache 2024-12-18T00:26:25.4604414Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:26:25.4605094Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:26:25.4605411Z configfile: pytest.ini 2024-12-18T00:26:25.4606051Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:26:25.4606752Z collecting ... collected 183 items 2024-12-18T00:26:25.4607116Z stepcurrent: Cannot find last run test, not skipping 2024-12-18T00:26:25.4645250Z Running 54 items in this shard: test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_debug_printer_codegen_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_debug_printing_model_inputs_codegen_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_reuse_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_share_predicte_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_symint_input_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_reinterpret_view_inputs_outputs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_convolution_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_deconv_freezing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_duplicated_params_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_dynamic_smem_above_default_limit_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fake_tensor_device_validation_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_foreach_multiple_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_large_grid_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_missing_cubin_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_model_modified_weights_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_multi_device_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_nan_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_nested_tensor_from_jagged_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_non_default_gpu_device_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_normal_functional_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_on_gpu_device1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_output_misaligned_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_output_path_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_poi_multiple_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_replicate_on_devices_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_return_view_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_reuse_kernel_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_complex_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_dtype_failed_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_fp8_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_scatter_reduce_fallback_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sdpa_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sdpa_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_seq_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_symint_item_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_equal_to_1_float_arg_dynamic_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_extern_kernel_arg_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_False_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_2_dynamic_False_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_True_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_reinterpret_view_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_tma_descriptor_1d_dynamic_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_unbacked_symint_in_grid_dynamic_False_autotuning_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_zero_grid_with_unbacked_symbols_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_zero_size_weight_cpu_with_stack_allocation 2024-12-18T00:26:25.4683225Z 2024-12-18T00:26:25.4684102Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_debug_printer_codegen_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [15.4580s] [ 1%] 2024-12-18T00:26:25.4686096Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_debug_printing_model_inputs_codegen_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (requires CUDA) [ 3%] 2024-12-18T00:26:25.4688106Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_1_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 5%] 2024-12-18T00:26:25.4689953Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_2_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 7%] 2024-12-18T00:26:25.4692068Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_reuse_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py W1218 00:22:57.147000 13104 site-packages/torch/_export/__init__.py:277] +============================+ 2024-12-18T00:26:25.4693587Z W1218 00:22:57.148000 13104 site-packages/torch/_export/__init__.py:278] | !!! WARNING !!! | 2024-12-18T00:26:25.4694328Z W1218 00:22:57.148000 13104 site-packages/torch/_export/__init__.py:279] +============================+ 2024-12-18T00:26:25.4695792Z W1218 00:22:57.149000 13104 site-packages/torch/_export/__init__.py:280] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2024-12-18T00:26:25.4697042Z PASSED [7.3155s] [ 9%] 2024-12-18T00:26:25.4698092Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_share_predicte_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 11%] 2024-12-18T00:26:25.4699878Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_symint_input_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.5124s] [ 12%] 2024-12-18T00:26:25.4702261Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_reinterpret_view_inputs_outputs_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py W1218 00:23:04.789000 13104 site-packages/torch/export/dynamic_shapes.py:673] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2024-12-18T00:26:25.4704394Z W1218 00:23:04.789000 13104 site-packages/torch/export/dynamic_shapes.py:673] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2024-12-18T00:26:25.4705171Z PASSED [7.9836s] [ 14%] 2024-12-18T00:26:25.4706161Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_convolution_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [6.2781s] [ 16%] 2024-12-18T00:26:25.4707898Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_deconv_freezing_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [30.6897s] [ 18%] 2024-12-18T00:26:25.4709653Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_duplicated_params_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.3679s] [ 20%] 2024-12-18T00:26:25.4711788Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_dynamic_smem_above_default_limit_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (Test was marked as expected failure, but does not fail always anymore.) [ 22%] 2024-12-18T00:26:25.4713996Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fake_tensor_device_validation_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (requires GPU) [ 24%] 2024-12-18T00:26:25.4715931Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_foreach_multiple_dynamic_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.4211s] [ 25%] 2024-12-18T00:26:25.4717755Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_large_grid_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (requires GPU) [ 27%] 2024-12-18T00:26:25.4719621Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_missing_cubin_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 29%] 2024-12-18T00:26:25.4721538Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_model_modified_weights_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [6.8570s] [ 31%] 2024-12-18T00:26:25.4723357Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_multi_device_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (requires gpu) [ 33%] 2024-12-18T00:26:25.4725306Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_nan_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (Skip this test, only for local test. SIGABRT is produced.) [ 35%] 2024-12-18T00:26:25.4727243Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_nested_tensor_from_jagged_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.5239s] [ 37%] 2024-12-18T00:26:25.4729170Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_non_default_gpu_device_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (requires multiple cuda devices) [ 38%] 2024-12-18T00:26:25.4731111Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_normal_functional_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 40%] 2024-12-18T00:26:25.4733034Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_on_gpu_device1_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (requires multiple cuda devices) [ 42%] 2024-12-18T00:26:25.4734896Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_output_misaligned_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.3419s] [ 44%] 2024-12-18T00:26:25.4736628Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_output_path_1_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.3037s] [ 46%] 2024-12-18T00:26:25.4738365Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_poi_multiple_dynamic_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.3475s] [ 48%] 2024-12-18T00:26:25.4740262Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_replicate_on_devices_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (requires multiple cuda devices) [ 50%] 2024-12-18T00:26:25.4742200Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_return_view_constant_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [0.5947s] [ 51%] 2024-12-18T00:26:25.4743935Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_reuse_kernel_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.5069s] [ 53%] 2024-12-18T00:26:25.4745739Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_complex_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 55%] 2024-12-18T00:26:25.4747825Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_dtype_failed_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py Error: input_handles[0]: unmatched dtype, expected: 5(at::kHalf), but got: 6 2024-12-18T00:26:25.4749031Z 2024-12-18T00:26:25.4749140Z PASSED [5.8477s] [ 57%] 2024-12-18T00:26:25.4750152Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_fp8_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0003s] (Skipped!) [ 59%] 2024-12-18T00:26:25.4751994Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_scatter_reduce_fallback_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.2131s] [ 61%] 2024-12-18T00:26:25.4753853Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sdpa_2_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (bfloat16 only supported in sm80+) [ 62%] 2024-12-18T00:26:25.4755747Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sdpa_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0002s] (bfloat16 only supported in sm80+) [ 64%] 2024-12-18T00:26:25.4757509Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_seq_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [7.4855s] [ 66%] 2024-12-18T00:26:25.4759449Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_symint_item_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py PASSED [6.3477s] [ 68%] 2024-12-18T00:26:25.4761332Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_equal_to_1_float_arg_dynamic_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0029s] (requires GPU) [ 70%] 2024-12-18T00:26:25.4763452Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_extern_kernel_arg_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0027s] (requires GPU) [ 72%] 2024-12-18T00:26:25.4765546Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0027s] (requires GPU) [ 74%] 2024-12-18T00:26:25.4767742Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_False_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 75%] 2024-12-18T00:26:25.4769943Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0029s] (requires GPU) [ 77%] 2024-12-18T00:26:25.4772128Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 79%] 2024-12-18T00:26:25.4774393Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_2_dynamic_False_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 81%] 2024-12-18T00:26:25.4776589Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 83%] 2024-12-18T00:26:25.4778822Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 85%] 2024-12-18T00:26:25.4781052Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_True_autotune_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0029s] (requires GPU) [ 87%] 2024-12-18T00:26:25.4783269Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 88%] 2024-12-18T00:26:25.4785371Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_reinterpret_view_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py SKIPPED [0.0026s] (requires GPU) [ 90%] 2024-12-18T00:26:25.4787407Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_tma_descriptor_1d_dynamic_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0027s] (requires GPU) [ 92%] 2024-12-18T00:26:25.4789567Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_unbacked_symint_in_grid_dynamic_False_autotuning_True_cpu_with_stack_allocation <- test/inductor/test_aot_inductor.py SKIPPED [0.0026s] (requires GPU) [ 94%] 2024-12-18T00:26:25.4791757Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [8.4554s] [ 96%] 2024-12-18T00:26:25.4793760Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [8.0797s] [ 96%] 2024-12-18T00:26:25.4795681Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py FAILED [8.1153s] [ 96%] 2024-12-18T00:26:25.4796653Z 2024-12-18T00:26:25.4796803Z ==================================== RERUNS ==================================== 2024-12-18T00:26:25.4797546Z _ AOTInductorTestABICompatibleCpuWithStackAllocation.test_while_loop_with_pytree_inputs_cpu_with_stack_allocation _ 2024-12-18T00:26:25.4798243Z Unexpected success 2024-12-18T00:26:25.4798594Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4799010Z inline_call [] 2024-12-18T00:26:25.4799304Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4799677Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4800071Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4801029Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4802013Z warnings.warn( 2024-12-18T00:26:25.4802650Z _ AOTInductorTestABICompatibleCpuWithStackAllocation.test_while_loop_with_pytree_inputs_cpu_with_stack_allocation _ 2024-12-18T00:26:25.4803350Z Unexpected success 2024-12-18T00:26:25.4803707Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4804119Z inline_call [] 2024-12-18T00:26:25.4804400Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4804771Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4805158Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4806152Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4807033Z warnings.warn( 2024-12-18T00:26:25.4807364Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4807772Z inline_call [] 2024-12-18T00:26:25.4808058Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4808427Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4808814Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4809804Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4810643Z warnings.warn( 2024-12-18T00:26:25.4810929Z =================================== FAILURES =================================== 2024-12-18T00:26:25.4811664Z _ AOTInductorTestABICompatibleCpuWithStackAllocation.test_while_loop_with_pytree_inputs_cpu_with_stack_allocation _ 2024-12-18T00:26:25.4812356Z Unexpected success 2024-12-18T00:26:25.4812711Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4813111Z inline_call [] 2024-12-18T00:26:25.4813406Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4813776Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4814164Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4815122Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4815981Z warnings.warn( 2024-12-18T00:26:25.4816311Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4816715Z inline_call [] 2024-12-18T00:26:25.4817006Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4817377Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4817772Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4818721Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4819579Z warnings.warn( 2024-12-18T00:26:25.4819928Z ----------------------------- Captured stdout call ----------------------------- 2024-12-18T00:26:25.4820336Z inline_call [] 2024-12-18T00:26:25.4820628Z stats [('calls_captured', 10), ('unique_graphs', 2)] 2024-12-18T00:26:25.4820998Z inductor [('extern_calls', 5)] 2024-12-18T00:26:25.4821379Z ----------------------------- Captured stderr call ----------------------------- 2024-12-18T00:26:25.4822337Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/utils/_config_module.py:342: UserWarning: Skipping serialization of skipfiles_inline_module_allowlist value {} 2024-12-18T00:26:25.4823194Z warnings.warn( 2024-12-18T00:26:25.4824061Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-47e2b8a9dd15a7b1.xml - 2024-12-18T00:26:25.4825089Z =========================== short test summary info ============================ 2024-12-18T00:26:25.4826052Z FAILED [8.1153s] inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation 2024-12-18T00:26:25.4826999Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2024-12-18T00:26:25.4827494Z ======== 1 failed, 19 passed, 32 skipped, 2 rerun in 186.22s (0:03:06) ========= 2024-12-18T00:26:25.4827917Z Got exit code 1 2024-12-18T00:26:25.4828171Z Retrying single test... 2024-12-18T00:26:25.4828965Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-f5ab848c2e89f63a.xml 2024-12-18T00:26:25.4829797Z ============================= test session starts ============================== 2024-12-18T00:26:25.4830410Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:26:25.4830940Z cachedir: .pytest_cache 2024-12-18T00:26:25.4831562Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:26:25.4832236Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:26:25.4832551Z configfile: pytest.ini 2024-12-18T00:26:25.4833221Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:26:25.4833987Z collecting ... collected 183 items / 53 deselected / 130 selected 2024-12-18T00:26:25.4835176Z stepcurrent: skipping 51 already run items. Running only test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation 2024-12-18T00:26:25.4836264Z Running 1 items in this shard 2024-12-18T00:26:25.4836469Z 2024-12-18T00:26:25.4839290Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp: In member function ‘void torch::aot_inductor::AOTInductorModel::run_impl(AtenTensorOpaque**, AtenTensorOpaque**, torch::aot_inductor::DeviceStreamType, AOTIProxyExecutorHandle)’: 2024-12-18T00:26:25.4843650Z /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:675:66: error: no match for ‘operator=’ (operand types are ‘torch::aot_inductor::RAIIAtenTensorHandle’ and ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’}) 2024-12-18T00:26:25.4845474Z 675 | buf0_cond_result = std::move(while_loop_cond_graph_0_buf0); 2024-12-18T00:26:25.4845914Z | ^ 2024-12-18T00:26:25.4846675Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/interface.h:7, 2024-12-18T00:26:25.4847943Z from /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:3: 2024-12-18T00:26:25.4850094Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:25: note: candidate: ‘torch::aot_inductor::RAIIAtenTensorHandle& torch::aot_inductor::RAIIAtenTensorHandle::operator=(torch::aot_inductor::RAIIAtenTensorHandle&&)’ 2024-12-18T00:26:25.4851566Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4852054Z | ^~~~~~~~ 2024-12-18T00:26:25.4853872Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:58: note: no known conversion for argument 1 from ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’} to ‘torch::aot_inductor::RAIIAtenTensorHandle&&’ 2024-12-18T00:26:25.4855566Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4856065Z | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ 2024-12-18T00:26:25.4858972Z /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:717:54: error: no match for ‘operator=’ (operand types are ‘torch::aot_inductor::RAIIAtenTensorHandle’ and ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’}) 2024-12-18T00:26:25.4860858Z 717 | buf1 = std::move(while_loop_body_graph_0_buf3); 2024-12-18T00:26:25.4861304Z | ^ 2024-12-18T00:26:25.4862051Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/interface.h:7, 2024-12-18T00:26:25.4863333Z from /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:3: 2024-12-18T00:26:25.4865599Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:25: note: candidate: ‘torch::aot_inductor::RAIIAtenTensorHandle& torch::aot_inductor::RAIIAtenTensorHandle::operator=(torch::aot_inductor::RAIIAtenTensorHandle&&)’ 2024-12-18T00:26:25.4867070Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4867546Z | ^~~~~~~~ 2024-12-18T00:26:25.4869415Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:58: note: no known conversion for argument 1 from ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’} to ‘torch::aot_inductor::RAIIAtenTensorHandle&&’ 2024-12-18T00:26:25.4871075Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4871574Z | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ 2024-12-18T00:26:25.4873715Z /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:719:54: error: no match for ‘operator=’ (operand types are ‘torch::aot_inductor::RAIIAtenTensorHandle’ and ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’}) 2024-12-18T00:26:25.4875508Z 719 | buf2 = std::move(while_loop_body_graph_0_buf0); 2024-12-18T00:26:25.4875899Z | ^ 2024-12-18T00:26:25.4876648Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/interface.h:7, 2024-12-18T00:26:25.4877904Z from /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:3: 2024-12-18T00:26:25.4880047Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:25: note: candidate: ‘torch::aot_inductor::RAIIAtenTensorHandle& torch::aot_inductor::RAIIAtenTensorHandle::operator=(torch::aot_inductor::RAIIAtenTensorHandle&&)’ 2024-12-18T00:26:25.4881576Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4882061Z | ^~~~~~~~ 2024-12-18T00:26:25.4883908Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:58: note: no known conversion for argument 1 from ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’} to ‘torch::aot_inductor::RAIIAtenTensorHandle&&’ 2024-12-18T00:26:25.4885615Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4886112Z | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ 2024-12-18T00:26:25.4888245Z /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:721:54: error: no match for ‘operator=’ (operand types are ‘torch::aot_inductor::RAIIAtenTensorHandle’ and ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’}) 2024-12-18T00:26:25.4890037Z 721 | buf3 = std::move(while_loop_body_graph_0_buf1); 2024-12-18T00:26:25.4890452Z | ^ 2024-12-18T00:26:25.4891196Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/interface.h:7, 2024-12-18T00:26:25.4892492Z from /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:3: 2024-12-18T00:26:25.4894659Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:25: note: candidate: ‘torch::aot_inductor::RAIIAtenTensorHandle& torch::aot_inductor::RAIIAtenTensorHandle::operator=(torch::aot_inductor::RAIIAtenTensorHandle&&)’ 2024-12-18T00:26:25.4896113Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4896591Z | ^~~~~~~~ 2024-12-18T00:26:25.4898419Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:58: note: no known conversion for argument 1 from ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’} to ‘torch::aot_inductor::RAIIAtenTensorHandle&&’ 2024-12-18T00:26:25.4900069Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4900552Z | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ 2024-12-18T00:26:25.4902687Z /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:723:54: error: no match for ‘operator=’ (operand types are ‘torch::aot_inductor::RAIIAtenTensorHandle’ and ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’}) 2024-12-18T00:26:25.4904472Z 723 | buf4 = std::move(while_loop_body_graph_0_buf2); 2024-12-18T00:26:25.4904864Z | ^ 2024-12-18T00:26:25.4905608Z In file included from /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/interface.h:7, 2024-12-18T00:26:25.4906885Z from /tmp/tmpqhpjjg79/c255nrykvpjexf3lghkqpzhyao4awezxb4tgrxdiznd3d5kzayt6/csdryjoyzteuokwmkffvqjekb4xebzpoarej7dvvgqughtfxbxkz.cpp:3: 2024-12-18T00:26:25.4909034Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:25: note: candidate: ‘torch::aot_inductor::RAIIAtenTensorHandle& torch::aot_inductor::RAIIAtenTensorHandle::operator=(torch::aot_inductor::RAIIAtenTensorHandle&&)’ 2024-12-18T00:26:25.4910511Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4910993Z | ^~~~~~~~ 2024-12-18T00:26:25.4912815Z /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:67:58: note: no known conversion for argument 1 from ‘std::remove_reference&>::type’ {aka ‘torch::aot_inductor::ArrayRefTensor’} to ‘torch::aot_inductor::RAIIAtenTensorHandle&&’ 2024-12-18T00:26:25.4914456Z 67 | RAIIAtenTensorHandle& operator=(RAIIAtenTensorHandle&& other) = default; 2024-12-18T00:26:25.4915001Z | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ 2024-12-18T00:26:25.4915336Z XFAIL [6.7428s] [100%] 2024-12-18T00:26:25.4915494Z 2024-12-18T00:26:25.4916224Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-f5ab848c2e89f63a.xml - 2024-12-18T00:26:25.4917217Z ====================== 53 deselected, 1 xfailed in 6.79s ======================= 2024-12-18T00:26:25.4917600Z Got exit code 0 2024-12-18T00:26:25.4917958Z Test succeeeded in new process, continuing with the rest of the tests 2024-12-18T00:26:25.4918888Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-81195fc53616d6be.xml 2024-12-18T00:26:25.4919757Z ============================= test session starts ============================== 2024-12-18T00:26:25.4920338Z platform linux -- Python 3.12.7, pytest-7.3.2, pluggy-1.5.0 -- /opt/conda/envs/py_3.12/bin/python 2024-12-18T00:26:25.4920870Z cachedir: .pytest_cache 2024-12-18T00:26:25.4921570Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2024-12-18T00:26:25.4922239Z rootdir: /var/lib/jenkins/workspace 2024-12-18T00:26:25.4922566Z configfile: pytest.ini 2024-12-18T00:26:25.4923243Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.1.0, typeguard-4.3.0 2024-12-18T00:26:25.4924031Z collecting ... collected 183 items / 52 deselected / 131 selected 2024-12-18T00:26:25.4924477Z stepcurrent: skipping 52 already run items. 2024-12-18T00:26:25.4924817Z Running 2 items in this shard 2024-12-18T00:26:25.4925020Z 2024-12-18T00:26:25.4926189Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_zero_grid_with_unbacked_symbols_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py W1218 00:26:13.968000 19764 site-packages/torch/_export/__init__.py:277] +============================+ 2024-12-18T00:26:25.4927776Z W1218 00:26:13.969000 19764 site-packages/torch/_export/__init__.py:278] | !!! WARNING !!! | 2024-12-18T00:26:25.4928517Z W1218 00:26:13.969000 19764 site-packages/torch/_export/__init__.py:279] +============================+ 2024-12-18T00:26:25.4929979Z W1218 00:26:13.969000 19764 site-packages/torch/_export/__init__.py:280] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2024-12-18T00:26:25.4931218Z PASSED [10.7148s] [ 50%] 2024-12-18T00:26:25.4933962Z inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_zero_size_weight_cpu_with_stack_allocation <- test/inductor/test_torchinductor.py /tmp/tmpv8gg73mr/cfs4xeeqht7ut4genqxabrexac2ub7jtnl5rphhzpvx3kutkhxgu/c2ppxuc6mapcafguggqfuf2dn37uqqwjzxfmrxtbpryyvzulwk6u.cpp: In member function ‘void torch::aot_inductor::AOTInductorModel::run_impl(AtenTensorOpaque**, AtenTensorOpaque**, torch::aot_inductor::DeviceStreamType, AOTIProxyExecutorHandle)’: 2024-12-18T00:26:25.4937410Z /tmp/tmpv8gg73mr/cfs4xeeqht7ut4genqxabrexac2ub7jtnl5rphhzpvx3kutkhxgu/c2ppxuc6mapcafguggqfuf2dn37uqqwjzxfmrxtbpryyvzulwk6u.cpp:588:10: warning: variable ‘L__self___net_0_weight’ set but not used [-Wunused-but-set-variable] 2024-12-18T00:26:25.4938684Z 588 | auto L__self___net_0_weight = constants_->at(0); 2024-12-18T00:26:25.4939055Z | ^~~~~~~~~~~~~~~~~~~~~~ 2024-12-18T00:26:25.4939350Z PASSED [10.4471s] [100%] 2024-12-18T00:26:25.4939531Z 2024-12-18T00:26:25.4940237Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-81195fc53616d6be.xml - 2024-12-18T00:26:25.4941280Z ====================== 2 passed, 52 deselected in 21.21s ======================= 2024-12-18T00:26:25.4942497Z The following tests failed and then succeeded when run in a new process['test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_pytree_inputs_cpu_with_stack_allocation'] 2024-12-18T00:26:25.4943527Z 2024-12-18T00:26:25.4944072Z FINISHED PRINTING LOG FILE of inductor/test_aot_inductor_arrayref 1/4 (test/test-reports/inductor.test_aot_inductor_arrayref_1.4_47bc21aaa7153415_.log) 2024-12-18T00:26:25.4944733Z 2024-12-18T00:26:29.2043212Z Running inductor/test_torchinductor_opinfo 3/46 ... [2024-12-18 00:26:29.203900] 2024-12-18T00:26:29.2043761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:26:29.2045430Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=3', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:26:29.204271] 2024-12-18T00:31:31.4242987Z 2024-12-18T00:31:31.4244076Z inductor/test_torchinductor 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_4.4_3e3354170bead226_.log 2024-12-18T00:31:31.4301670Z Running 177 items in this shard: test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast1_broadcast3, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast1_dense, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast2_dense, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast2_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast2_int, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast3_broadcast2, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_broadcast3_double, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_dense_broadcast3, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_double_broadcast1, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_int_broadcast1, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_int_broadcast3, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_int_dense, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_int_int, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_int_transposed, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_strided_transposed, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_transposed_int, test/inductor/test_torchinductor.py::SweepInputsCpuTest::test_cpu_transposed_transposed, test/inductor/test_torchinductor.py::CpuTests::test__unsafe_masked_index_put_accumulate_cpu, test/inductor/test_torchinductor.py::CpuTests::test_add_complex3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_add_complex4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_add_complex_cpu, test/inductor/test_torchinductor.py::CpuTests::test_alexnet_prefix_cpu, test/inductor/test_torchinductor.py::CpuTests::test_any_cpu, test/inductor/test_torchinductor.py::CpuTests::test_aoti_eager_dtype_device_layout_cpu, test/inductor/test_torchinductor.py::CpuTests::test_aoti_eager_with_scalar_cpu, test/inductor/test_torchinductor.py::CpuTests::test_arange4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_argmax_argmin_with_duplicates_cpu, test/inductor/test_torchinductor.py::CpuTests::test_argmax_argmin_with_nan_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool2d3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool2d8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool2d_backward2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_avg_pool3d_backward3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bernoulli1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bfloat16_to_int16_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bitwise2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_bitwise_cpu, test/inductor/test_torchinductor.py::CpuTests::test_buffer_copied_in_graph_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_empty_index_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_extern_kernel_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_uint8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cat_unbacked_empty_1d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_check_stack_no_cycles_cpu, test/inductor/test_torchinductor.py::CpuTests::test_complex_memory_overlap_cpu, test/inductor/test_torchinductor.py::CpuTests::test_constant_pad_nd_inplace_cpu, test/inductor/test_torchinductor.py::CpuTests::test_conv2d_backward_channels_last_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cudnn_rnn_cpu, test/inductor/test_torchinductor.py::CpuTests::test_cumprod_zero_dim_cpu, test/inductor/test_torchinductor.py::CpuTests::test_custom_op_1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_custom_op_fixed_layout_channels_last_cpu, test/inductor/test_torchinductor.py::CpuTests::test_custom_op_fixed_layout_sequential_cpu, test/inductor/test_torchinductor.py::CpuTests::test_custom_scan_op_compiled_cpu, test/inductor/test_torchinductor.py::CpuTests::test_device_assert_cpu, test/inductor/test_torchinductor.py::CpuTests::test_diagonal_copy_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div6_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div9_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div_by_zero_cpu, test/inductor/test_torchinductor.py::CpuTests::test_div_zero_dim_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dropout3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float16_float16_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float16_int64_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float32_uint8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float64_float32_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float64_int16_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_float64_int64_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_int16_int32_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_int16_int8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_int32_int32_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_int32_int64_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_int64_int16_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_uint8_float64_cpu, test/inductor/test_torchinductor.py::CpuTests::test_dtypeview_uint8_int8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_embedding_bag_byte_unpack_cpu, test/inductor/test_torchinductor.py::CpuTests::test_erfinv_cpu, test/inductor/test_torchinductor.py::CpuTests::test_exp_cpu, test/inductor/test_torchinductor.py::CpuTests::test_expand_as_cpu, test/inductor/test_torchinductor.py::CpuTests::test_expand_cpu, test/inductor/test_torchinductor.py::CpuTests::test_expanded_reduction_cpu, test/inductor/test_torchinductor.py::CpuTests::test_expm1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fallback_mutable_op_list_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fill2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_fractional_max_pool2d2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_functionalize_rng_wrappers_cpu, test/inductor/test_torchinductor.py::CpuTests::test_gather1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_gather2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_grid_sampler_2d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_propagation_nested_indirect_indexing_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_put_as_masked_fill_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_put_index_cpu, test/inductor/test_torchinductor.py::CpuTests::test_index_put_reinplace_cpu, test/inductor/test_torchinductor.py::CpuTests::test_inner_fn_str_and_stride_cpu, test/inductor/test_torchinductor.py::CpuTests::test_inplace_where_pointwise_cpu, test/inductor/test_torchinductor.py::CpuTests::test_input_mutation3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_kernel_names_cpu, test/inductor/test_torchinductor.py::CpuTests::test_large_offset_pointwise_cpu, test/inductor/test_torchinductor.py::CpuTests::test_large_strided_reduction_cpu, test/inductor/test_torchinductor.py::CpuTests::test_layer_norm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_leaky_relu_cpu, test/inductor/test_torchinductor.py::CpuTests::test_like_rands_cpu, test/inductor/test_torchinductor.py::CpuTests::test_linear1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_linear2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_linear_float64_cpu, test/inductor/test_torchinductor.py::CpuTests::test_linear_mixed_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_linspace1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_list_clearing_cpu, test/inductor/test_torchinductor.py::CpuTests::test_masked_fill_cpu, test/inductor/test_torchinductor.py::CpuTests::test_matmul_layer_norm_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_min_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d8_cpu, test/inductor/test_torchinductor.py::CpuTests::test_max_pool2d_with_indices_backward2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_mm_mixed_dtype_cpu, test/inductor/test_torchinductor.py::CpuTests::test_move_arange_cpu, test/inductor/test_torchinductor.py::CpuTests::test_multilayer_var_lowp_cpu, test/inductor/test_torchinductor.py::CpuTests::test_mutable_custom_op_fixed_layout_cpu, test/inductor/test_torchinductor.py::CpuTests::test_nan_to_num_cpu, test/inductor/test_torchinductor.py::CpuTests::test_new_ones_cpu, test/inductor/test_torchinductor.py::CpuTests::test_permute1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_bessel_j0_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_erfinv_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_i0_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_i0e_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_i1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_modified_bessel_i0_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_multigammaln_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_ndtr_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_polygamma_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_w_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pow1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pow_int_cpu, test/inductor/test_torchinductor.py::CpuTests::test_pow_symfloat_cpu, test/inductor/test_torchinductor.py::CpuTests::test_prod_cpu, test/inductor/test_torchinductor.py::CpuTests::test_randint_kernel_count_cpu, test/inductor/test_torchinductor.py::CpuTests::test_randn_like_empty_cpu, test/inductor/test_torchinductor.py::CpuTests::test_reduction_config_limit_cpu, test/inductor/test_torchinductor.py::CpuTests::test_remainder_cpu, test/inductor/test_torchinductor.py::CpuTests::test_repeat_as_strided_cpu, test/inductor/test_torchinductor.py::CpuTests::test_require_stride_expanded_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scalar_cpu_tensor_arg_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scalar_input_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scaled_dot_product_efficient_attention_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scatter4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scatter_add1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_scatter_add2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sdpa_unaligned_mask_freezing_cpu, test/inductor/test_torchinductor.py::CpuTests::test_select_scatter_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sin_cpu, test/inductor/test_torchinductor.py::CpuTests::test_single_elem_cpu, test/inductor/test_torchinductor.py::CpuTests::test_single_elem_indirect_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sizehint_issue1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_slice_scatter4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_slice_scatter5_cpu, test/inductor/test_torchinductor.py::CpuTests::test_softmax_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sort_transpose_cpu, test/inductor/test_torchinductor.py::CpuTests::test_split_cumsum_index_cpu, test/inductor/test_torchinductor.py::CpuTests::test_split_with_list_cpu, test/inductor/test_torchinductor.py::CpuTests::test_std_cpu, test/inductor/test_torchinductor.py::CpuTests::test_stride_preservation_with_stride_modifying_fx_pass_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_sum4_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tensor2_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tensor_index_put_slice_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tmp_not_defined_issue1_cpu, test/inductor/test_torchinductor.py::CpuTests::test_tmp_not_defined_issue3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_triu_cpu, test/inductor/test_torchinductor.py::CpuTests::test_unbacked_floordiv_simplify_cpu, test/inductor/test_torchinductor.py::CpuTests::test_unroll_small_reduction_cpu, test/inductor/test_torchinductor.py::CpuTests::test_unspec_inputs_float16_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_bilinear2d_a_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_nearest1d_cpu, test/inductor/test_torchinductor.py::CpuTests::test_upsample_nearest2d_backward_cpu, test/inductor/test_torchinductor.py::CpuTests::test_views3_cpu, test/inductor/test_torchinductor.py::CpuTests::test_where_with_logical_op_cpu, test/inductor/test_torchinductor.py::CpuTests::test_zero_dim_reductions_cpu, test/inductor/test_torchinductor.py::CpuTests::test_zero_element_mutation_cpu, test/inductor/test_torchinductor.py::CpuTests::test_zeros_cpu 2024-12-18T00:31:31.4354900Z 2024-12-18T00:31:35.0560012Z Running inductor/test_torchinductor_opinfo 15/46 ... [2024-12-18 00:31:35.055610] 2024-12-18T00:31:35.0560567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:31:35.0562291Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=15', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:31:35.055974] 2024-12-18T00:34:40.3214277Z 2024-12-18T00:34:40.3215492Z inductor/test_torchinductor_opinfo 2/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_2.46_d0e1bc40c16951c1_.log 2024-12-18T00:34:40.3260653Z Running 86 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___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_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_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_multi_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_tensor_overload_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_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_channel_shuffle_cpu_int32, 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_interpolate_nearest-exact_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float32, 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_scaled_modified_bessel_k1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16 2024-12-18T00:34:40.3302002Z 2024-12-18T00:34:43.9144666Z Running inductor/test_torchinductor_opinfo 17/46 ... [2024-12-18 00:34:43.913965] 2024-12-18T00:34:43.9146612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:34:43.9148710Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=17', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:34:43.914362] 2024-12-18T00:35:28.7663994Z 2024-12-18T00:35:28.7665223Z inductor/test_torchinductor_opinfo 3/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.46_6ce3fec32a23b833_.log 2024-12-18T00:35:28.7703439Z Running 79 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__chunk_cat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv3d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int64, 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_pad_constant_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float64, 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_poisson_nll_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_int64 2024-12-18T00:35:28.7741051Z 2024-12-18T00:35:32.4209296Z Running inductor/test_torchinductor_opinfo 18/46 ... [2024-12-18 00:35:32.420469] 2024-12-18T00:35:32.4210131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:35:32.4212148Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=18', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:35:32.420848] 2024-12-18T00:41:59.4104517Z 2024-12-18T00:41:59.4105625Z inductor/test_torchinductor_opinfo 15/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_15.46_9944540b6acd7025_.log 2024-12-18T00:41:59.4143832Z Running 78 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_permuted_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_permuted_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_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_conv_transpose2d_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_embedding_bag_cpu_float32, 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_margin_ranking_loss_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_uint8, 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_pdist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float64, 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_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_int32 2024-12-18T00:41:59.4181015Z 2024-12-18T00:42:03.0659267Z Running inductor/test_torchinductor_opinfo 30/46 ... [2024-12-18 00:42:03.065512] 2024-12-18T00:42:03.0660207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:42:03.0662377Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=30', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:42:03.065890] 2024-12-18T00:44:28.2948558Z 2024-12-18T00:44:28.2950232Z inductor/test_torchinductor_opinfo 17/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_17.46_4e945ed362988a63_.log 2024-12-18T00:44:28.3036104Z Running 96 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___rpow___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__chunk_cat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_offsets_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_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_hfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geometric_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geometric_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_diagonal_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_tensor_overload_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_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_dropout_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float16, 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_mish_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hann_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_uint8, 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_shifted_chebyshev_polynomial_u_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_uint16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32 2024-12-18T00:44:28.3120753Z 2024-12-18T00:44:28.9747231Z Uploading artifacts took 0.68 seconds 2024-12-18T00:44:31.9012706Z Running inductor/test_torchinductor_opinfo 32/46 ... [2024-12-18 00:44:31.900903] 2024-12-18T00:44:31.9013432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:44:31.9014816Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=32', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:44:31.901235] 2024-12-18T00:49:09.5393867Z 2024-12-18T00:49:09.5395210Z inductor/test_torchinductor_opinfo 18/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_18.46_be4bcc8402d09bbd_.log 2024-12-18T00:49:09.5434099Z Running 80 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___radd___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__native_batch_norm_legit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float64, 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_bilinear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_in_place_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_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_v_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64 2024-12-18T00:49:09.5472241Z 2024-12-18T00:49:13.1171235Z Running inductor/test_torchinductor_opinfo 33/46 ... [2024-12-18 00:49:13.116771] 2024-12-18T00:49:13.1171799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:49:13.1174318Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=33', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:49:13.117158] 2024-12-18T00:52:15.0106949Z 2024-12-18T00:52:15.0108045Z inductor/test_torchinductor_opinfo 30/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_30.46_c7807bf9d05c2b4d_.log 2024-12-18T00:52:15.0148297Z Running 75 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_acos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_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_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int32, 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_pad_replicate_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_blackman_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_float64 2024-12-18T00:52:15.0183937Z 2024-12-18T00:52:18.5972100Z Running inductor/test_torchinductor_opinfo 45/46 ... [2024-12-18 00:52:18.596821] 2024-12-18T00:52:18.5972659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:52:18.5974851Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=45', '--num-shards=46', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:52:18.597213] 2024-12-18T00:54:18.0481010Z 2024-12-18T00:54:18.0482459Z inductor/test_torchinductor_opinfo 32/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_32.46_bf43a41584bca9f0_.log 2024-12-18T00:54:18.0517657Z Running 68 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float32, 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_smooth_l1_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_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_signbit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16 2024-12-18T00:54:18.0549658Z 2024-12-18T00:54:21.6856973Z Running inductor/test_compiled_optimizers 1/1 ... [2024-12-18 00:54:21.685332] 2024-12-18T00:54:21.6857689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:54:21.6860387Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 00:54:21.685733] 2024-12-18T00:58:50.0608038Z 2024-12-18T00:58:50.0609119Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_8788e8ae30cde4c4_.log 2024-12-18T00:58:50.0953020Z Running 651 items in this shard: test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_S429861, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_rho_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_rho_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_rho_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_tensor_lr_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adadelta_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_initial_accumulator_value_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_initial_accumulator_value_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_initial_accumulator_value_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_lr_decay_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_lr_decay_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_lr_decay_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cpu_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_tensor_lr_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adagrad_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_amsgrad_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_tensor_lr_tensor_betas_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_amsgrad_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adam_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_tensor_lr_weight_decay_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamax_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_amsgrad_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_amsgrad_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_tensor_lr_tensor_betas_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_amsgrad_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_adamw_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_lambd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_lambd_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_lambd_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_default, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_foreach, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_recompile_single, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_t0_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_t0_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_t0_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_tensor_lr_weight_decay_maximize_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_asgd_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_basic_shampoo, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_closure_graph_break, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_compile_time_smoketest, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_get_value_on_static_address, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_guard_on_none_grads, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_momentum_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_momentum_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_momentum_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_tensor_lr_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_decoupled_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_nadam_weight_decay_momentum_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_weight_decay_decoupled_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_weight_decay_decoupled_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_capturable_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_eps_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_eps_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_eps_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_tensor_lr_capturable_weight_decay_decoupled_weight_decay_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_decoupled_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_decoupled_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_decoupled_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_radam_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_maximize_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_tensor_lr_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_centered_momentum_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_maximize_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rmsprop_weight_decay_maximize_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_capturable_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_capturable_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_etas_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_etas_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_etas_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_recompile, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_step_sizes_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_step_sizes_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_step_sizes_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_rprop_tensor_lr_capturable_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_dampening_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_dampening_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_dampening_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_nesterov_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_nesterov_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_nesterov_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_momentum_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_recompile_foreach, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_recompile_single, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cpu_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_constantlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_cosineannealinglr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_cosineannealingwarmrestarts, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_cycliclr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_exponentiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_lambdalr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_linearlr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_multiplicativelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_multisteplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_onecyclelr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_polynomiallr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_reducelronplateau, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_tensor_lr_foreach_cuda_steplr, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_maximize_cpu, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_maximize_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_sgd_weight_decay_maximize_foreach_cuda, test/inductor/test_compiled_optimizers.py::CompiledOptimizerTests::test_static_address_finalizer 2024-12-18T00:58:50.1287371Z 2024-12-18T00:58:53.6956055Z Running dynamo/test_base_output 1/1 ... [2024-12-18 00:58:53.695225] 2024-12-18T00:58:53.6956622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:58:53.6958776Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_base_output.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'] ... [2024-12-18 00:58:53.695612] 2024-12-18T00:58:57.2651944Z 2024-12-18T00:58:57.2653256Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_72404338f3cf0b36_.log 2024-12-18T00:58:57.2657010Z Running 6 items in this shard: test/dynamo/test_base_output.py::TestBaseOutput::test_assign, test/dynamo/test_base_output.py::TestBaseOutput::test_create, test/dynamo/test_base_output.py::TestBaseOutput::test_getattr, test/dynamo/test_base_output.py::TestBaseOutput::test_getitem, test/dynamo/test_base_output.py::TestBaseOutput::test_index, test/dynamo/test_base_output.py::TestBaseOutput::test_tuple 2024-12-18T00:58:57.2659819Z 2024-12-18T00:59:00.8292904Z Running inductor/test_cooperative_reductions 1/1 ... [2024-12-18 00:59:00.828857] 2024-12-18T00:59:00.8293880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:59:00.8296246Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cooperative_reductions.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'] ... [2024-12-18 00:59:00.829210] 2024-12-18T00:59:04.4383132Z 2024-12-18T00:59:04.4384241Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_e98ed2583469cbf0_.log 2024-12-18T00:59:04.4385076Z 2024-12-18T00:59:08.1542486Z Running test_import_stats 1/1 ... [2024-12-18 00:59:08.153837] 2024-12-18T00:59:08.1542969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:59:08.1544865Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_import_stats.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'] ... [2024-12-18 00:59:08.154216] 2024-12-18T00:59:15.0285382Z 2024-12-18T00:59:15.0286453Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_4b0e40cd1e271f10_.log 2024-12-18T00:59:15.0287750Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2024-12-18T00:59:15.0288460Z 2024-12-18T00:59:18.6123576Z Running test_binary_ufuncs 1/1 ... [2024-12-18 00:59:18.611947] 2024-12-18T00:59:18.6124142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T00:59:18.6125987Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_binary_ufuncs.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'] ... [2024-12-18 00:59:18.612354] 2024-12-18T01:00:46.4850331Z 2024-12-18T01:00:46.4851746Z inductor/test_torchinductor_opinfo 33/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_33.46_c5d41703729e1c0a_.log 2024-12-18T01:00:46.4888258Z Running 71 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_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool, 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_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int32, 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_max_pool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_int64, 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_interpolate_bilinear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_trilinear_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_nuttall_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_mm_reduce_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_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_shifted_chebyshev_polynomial_u_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64 2024-12-18T01:00:46.4922286Z 2024-12-18T01:00:51.4513231Z Running export/test_functionalized_assertions 1/1 ... [2024-12-18 01:00:51.450899] 2024-12-18T01:00:51.4514217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:00:51.4519182Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_functionalized_assertions.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'] ... [2024-12-18 01:00:51.451475] 2024-12-18T01:00:56.5747797Z 2024-12-18T01:00:56.5749830Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_83987562c6904dac_.log 2024-12-18T01:00:56.5753585Z Running 2 items in this shard: test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_assert_async_msg, test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_sym_constrain_range 2024-12-18T01:00:56.5755703Z 2024-12-18T01:01:01.3284062Z Running export/test_tree_utils 1/1 ... [2024-12-18 01:01:01.328021] 2024-12-18T01:01:01.3284887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:01.3288156Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_tree_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'] ... [2024-12-18 01:01:01.328476] 2024-12-18T01:01:05.2006546Z 2024-12-18T01:01:05.2007923Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_8794cbe2bb490f10_.log 2024-12-18T01:01:05.2010161Z Running 2 items in this shard: test/export/test_tree_utils.py::TestTreeUtils::test_equivalence_check, test/export/test_tree_utils.py::TestTreeUtils::test_reorder_kwargs 2024-12-18T01:01:05.2010898Z 2024-12-18T01:01:10.0359656Z Running inductor/test_inductor_annotations 1/1 ... [2024-12-18 01:01:10.035488] 2024-12-18T01:01:10.0360386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:10.0361933Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_inductor_annotations.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'] ... [2024-12-18 01:01:10.035867] 2024-12-18T01:01:13.8555928Z 2024-12-18T01:01:13.8557418Z inductor/test_inductor_annotations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_annotations_1.1_b926df699d89d55a_.log 2024-12-18T01:01:13.8560355Z Running 2 items in this shard: test/inductor/test_inductor_annotations.py::InductorAnnotationTestCase::test_no_annotations, test/inductor/test_inductor_annotations.py::InductorAnnotationTestCase::test_training_annotation 2024-12-18T01:01:13.8561942Z 2024-12-18T01:01:17.9469095Z Running dynamo/test_nops 1/1 ... [2024-12-18 01:01:17.946546] 2024-12-18T01:01:17.9469628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:17.9470986Z 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'] ... [2024-12-18 01:01:17.946881] 2024-12-18T01:01:18.7136601Z 2024-12-18T01:01:18.7137508Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_3011086e86d19cb6_.log 2024-12-18T01:01:19.2196584Z Running 12855 items in this shard: test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imul___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imul___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imul___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imul___not_implemented_cpu_int16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_xlogy_cpu_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpu_tensor_pow_cuda_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cremainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_binary_ops_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_inplace_error_msg_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_csub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cuda_tensor_pow_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cumulative_trapezoid_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_script_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divmul_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_exceptions_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_idiv_and_ifloordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_division_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_dunders_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_and_float_pow_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_tensor_pow_neg_ints_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_ldexp_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_complex64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_forward_ad_float32_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_chalf_tensor_and_cpu_scalar_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_bfloat16_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_non_contig___radd___cpu_float64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_gradients_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_scalar_type_promotion_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_uint8 2024-12-18T01:01:19.7062604Z 2024-12-18T01:01:21.8166545Z 2024-12-18T01:01:21.8167744Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_c1cb0a962821b44d_.log 2024-12-18T01:01:21.8169181Z 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 2024-12-18T01:01:21.8170068Z 2024-12-18T01:01:22.4060602Z Running inductor/test_utils 1/1 ... [2024-12-18 01:01:22.405656] 2024-12-18T01:01:22.4061478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:22.4063616Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/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'] ... [2024-12-18 01:01:22.406022] 2024-12-18T01:01:25.4652728Z Running inductor/test_indexing 1/1 ... [2024-12-18 01:01:25.464899] 2024-12-18T01:01:25.4653240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:25.4654775Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_indexing.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'] ... [2024-12-18 01:01:25.465238] 2024-12-18T01:01:26.0806967Z 2024-12-18T01:01:26.0808161Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_75b9317010c6d009_.log 2024-12-18T01:01:26.0810001Z Running 2 items in this shard: test/inductor/test_utils.py::TestUtils::testSympySubs, test/inductor/test_utils.py::TestUtils::test_zip_schema 2024-12-18T01:01:26.0811051Z 2024-12-18T01:01:29.9836572Z Running inductor/test_pad_mm 1/1 ... [2024-12-18 01:01:29.983269] 2024-12-18T01:01:29.9837106Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:29.9838560Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_pad_mm.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'] ... [2024-12-18 01:01:29.983632] 2024-12-18T01:01:32.9901059Z 2024-12-18T01:01:32.9902103Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_2bc57968a6639e11_.log 2024-12-18T01:01:32.9909692Z Running 19 items in this shard: test/inductor/test_indexing.py::TestIndexingSimplification::test_expand_floor_div_applied, test/inductor/test_indexing.py::TestIndexingSimplification::test_expand_floor_div_skipped, test/inductor/test_indexing.py::TestIndexingSimplification::test_indexing_join, test/inductor/test_indexing.py::TestIndexingSimplification::test_indexing_simplification, test/inductor/test_indexing.py::TestIndexingSimplification::test_int8_unpack, test/inductor/test_indexing.py::TestIndexingSimplification::test_modular_indexing_pairs_merged, test/inductor/test_indexing.py::TestIndexingSimplification::test_modular_indexing_pairs_not_merged, test/inductor/test_indexing.py::ExprPrinterTests::test_print_Min_Max, test/inductor/test_indexing.py::ExprPrinterTests::test_print_ceil, test/inductor/test_indexing.py::ExprPrinterTests::test_print_floor, test/inductor/test_indexing.py::ExprPrinterTests::test_print_floor_div, test/inductor/test_indexing.py::ExprPrinterTests::test_print_mod, test/inductor/test_indexing.py::ExprPrinterTests::test_print_mod_index, test/inductor/test_indexing.py::ExprPrinterTests::test_print_pow, test/inductor/test_indexing.py::ExprPrinterTests::test_print_python_mod, test/inductor/test_indexing.py::ExprPrinterTests::test_print_round, test/inductor/test_indexing.py::ExprPrinterTests::test_print_round_decimal_ndigits_-1, test/inductor/test_indexing.py::ExprPrinterTests::test_print_round_decimal_ndigits_0, test/inductor/test_indexing.py::ExprPrinterTests::test_print_round_decimal_ndigits_1 2024-12-18T01:01:32.9916389Z 2024-12-18T01:01:34.0496702Z 2024-12-18T01:01:34.0497631Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_d08bb4f02cc4af78_.log 2024-12-18T01:01:34.0498323Z 2024-12-18T01:01:36.6357455Z Running dynamo/test_utils 1/1 ... [2024-12-18 01:01:36.635393] 2024-12-18T01:01:36.6357929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:36.6359665Z 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'] ... [2024-12-18 01:01:36.635713] 2024-12-18T01:01:37.7660130Z Running inductor/test_compile_worker 1/1 ... [2024-12-18 01:01:37.765648] 2024-12-18T01:01:37.7660641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:37.7662470Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_compile_worker.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'] ... [2024-12-18 01:01:37.765995] 2024-12-18T01:01:49.8476187Z 2024-12-18T01:01:49.8477221Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_e54be6979c0029c8_.log 2024-12-18T01:01:49.8478935Z Running 3 items in this shard: test/inductor/test_compile_worker.py::TestCompileWorker::test_basic_jobs, test/inductor/test_compile_worker.py::TestCompileWorker::test_crash, test/inductor/test_compile_worker.py::TestCompileWorker::test_exception 2024-12-18T01:01:49.8480029Z 2024-12-18T01:01:53.4308699Z Running functorch/test_aotdispatch 1/5 ... [2024-12-18 01:01:53.430439] 2024-12-18T01:01:53.4309452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:53.4311493Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:01:53.430816] 2024-12-18T01:01:54.2250748Z 2024-12-18T01:01:54.2251730Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_8644c5e487ebe0a0_.log 2024-12-18T01:01:54.2254438Z Running 6 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, test/dynamo/test_utils.py::TestDynamoTimed::test_dynamo_timed, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_jsonify, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_parsing_non_conforming_items 2024-12-18T01:01:54.2256611Z 2024-12-18T01:01:57.8399134Z Running inductor/test_torchinductor_codegen_dynamic_shapes 3/4 ... [2024-12-18 01:01:57.839473] 2024-12-18T01:01:57.8400347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:01:57.8402590Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:01:57.839809] 2024-12-18T01:03:47.8507934Z 2024-12-18T01:03:47.8509290Z inductor/test_torchinductor_opinfo 45/46 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_45.46_ac7e663b78a3a9fa_.log 2024-12-18T01:03:47.8547583Z Running 77 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_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_addmm_decomposed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float16, 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_alpha_dropout_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_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_local_response_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float32, 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_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int32, 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_upsample_nearest_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int32, 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_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int64, 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_unflatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool 2024-12-18T01:03:47.8585495Z 2024-12-18T01:03:51.4294568Z Running inductor/test_torchinductor_dynamic_shapes 2/4 ... [2024-12-18 01:03:51.429066] 2024-12-18T01:03:51.4295229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:03:51.4296922Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.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'] ... [2024-12-18 01:03:51.429387] 2024-12-18T01:10:14.2545063Z 2024-12-18T01:10:14.2546867Z inductor/test_torchinductor_codegen_dynamic_shapes 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_3.4_079471d4894ea6d3_.log 2024-12-18T01:10:14.2657648Z Running 194 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aliased_buffer_reuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_duplicates_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_chunk_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_consecutive_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_fill_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_nd_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv2d_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_diagonal_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float32_to_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_grid_sampler_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_select_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_indirect_load_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_l1_loss_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_min_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_lowp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutable_custom_op_fixed_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_mega_fusion_during_lowering_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pattern_matcher_multi_user_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfinv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammainc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_laguerre_polynomial_l_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_like_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_prop_torch_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_simplify_loops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_integer_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_device_constant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zeros_dynamic_shapes_cpu 2024-12-18T01:10:14.2767670Z 2024-12-18T01:10:15.8758921Z Uploading artifacts took 1.62 seconds 2024-12-18T01:10:18.2873937Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2024-12-18 01:10:18.287011] 2024-12-18T01:10:18.2874563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:10:18.2875927Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.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'] ... [2024-12-18 01:10:18.287335] 2024-12-18T01:10:21.6666048Z 2024-12-18T01:10:21.6667583Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_94d41697167bc533_.log 2024-12-18T01:10:21.6668983Z 2024-12-18T01:10:25.7655021Z Running functorch/test_ops 3/6 ... [2024-12-18 01:10:25.765098] 2024-12-18T01:10:25.7655819Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:10:25.7658474Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:10:25.765481] 2024-12-18T01:11:31.9715420Z 2024-12-18T01:11:31.9717170Z inductor/test_torchinductor_dynamic_shapes 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.4_c1916d537a7ad8c6_.log 2024-12-18T01:11:31.9888796Z Running 184 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_max_pool2d3_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_complex6_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_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_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin3_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_pool2d3_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_pool2d_backward4_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_baddbmm_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_bool_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_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_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_cat_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_single_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_check_stack_no_cycles_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_config_option_dont_assume_alignment_recompiles_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_3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_nd_inplace_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_cos_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_no_mask_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_op_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_op_multi_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div5_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_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_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_int64_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_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_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_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_boolean_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_gather3_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_hardtanh_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_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_remainder_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_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_fallback1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_fallback2_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_inner_fn_str_and_stride_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_input_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_int8_weight_only_quant_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_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_l1_loss_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_tensor_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_rands3_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_log_fp64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_long_tensor_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_pool2d6_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_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_move_arange_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_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_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_no_mega_fusion_during_lowering_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_one_hot_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_cast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_airy_ai_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_w_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_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_erf_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_ndtr_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_shifted_chebyshev_polynomial_t_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_prod_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_reduction3_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_repeat_as_strided_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_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_searchsorted_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_signbit_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_slice1_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_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_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_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_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_sum5_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_tensor1_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_to_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_dtype_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_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_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int32_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_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_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_detach_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views4_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_zeros_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_adaptive_max_pool3d_with_indices_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_bool_mask_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_dynamic_stride_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_math_ops_op3_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_pad_dynamic_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_shape_as_constant_reciprocal_float_exp_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_sub_constant_folding_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_cat_backwards_save_data_dependent_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_save_for_backwards_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unspecialized_float_fallback_symint_specialization_cpu 2024-12-18T01:11:32.0056498Z 2024-12-18T01:11:35.8928602Z Running inductor/test_snode_runtime 1/1 ... [2024-12-18 01:11:35.892446] 2024-12-18T01:11:35.8929442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:11:35.8931836Z 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'] ... [2024-12-18 01:11:35.892839] 2024-12-18T01:11:39.8538493Z 2024-12-18T01:11:39.8540236Z 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_839409da728e51e8_.log 2024-12-18T01:11:39.8541805Z 2024-12-18T01:11:42.2885794Z 2024-12-18T01:11:42.2887371Z functorch/test_aotdispatch 1/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.5_962b9d07f6177765_.log 2024-12-18T01:11:42.3283561Z Running 402 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_map_1, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_outdtype, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_with_torch_cond, test/functorch/test_aotdispatch.py::TestPartitioning::test_contiguous, test/functorch/test_aotdispatch.py::TestPartitioning::test_meta_tensor_inplace_op, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_incorrect_backward, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_inference, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GaussianNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LocalResponseNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RMSNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_module, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view_should_raise_autograd_error, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_detach 2024-12-18T01:11:42.3655512Z 2024-12-18T01:11:43.6127352Z Running inductor/test_profiler 1/1 ... [2024-12-18 01:11:43.612360] 2024-12-18T01:11:43.6127879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:11:43.6129425Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_profiler.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'] ... [2024-12-18 01:11:43.612714] 2024-12-18T01:11:45.9327806Z Running inductor/test_cudagraph_trees 1/1 ... [2024-12-18 01:11:45.932418] 2024-12-18T01:11:45.9328391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:11:45.9330635Z 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'] ... [2024-12-18 01:11:45.932807] 2024-12-18T01:11:47.0508018Z 2024-12-18T01:11:47.0508973Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_82847fed4eca2ad4_.log 2024-12-18T01:11:47.0509691Z 2024-12-18T01:11:50.0690845Z 2024-12-18T01:11:50.0692019Z 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_439b84af21ef64bb_.log 2024-12-18T01:11:50.0698788Z 2024-12-18T01:11:50.8645518Z Running inductor/test_cpu_select_algorithm 3/17 ... [2024-12-18 01:11:50.864181] 2024-12-18T01:11:50.8646174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:11:50.8647676Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=3', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:11:50.864525] 2024-12-18T01:11:53.7862178Z Running inductor/test_cpu_select_algorithm 6/17 ... [2024-12-18 01:11:53.785788] 2024-12-18T01:11:53.7862919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:11:53.7864977Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:11:53.786180] 2024-12-18T01:17:39.9570794Z 2024-12-18T01:17:39.9572612Z functorch/test_ops 3/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.6_d3ffe7424a166e7d_.log 2024-12-18T01:17:40.1118608Z Running 1689 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_l1_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_layer_norm_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_mse_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_nll_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_diagonal_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_hsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_jvp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unflatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_complex_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_constant_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_angle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isfinite_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_neg_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_gaussian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tril_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_contiguous_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_max_binary_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SortGenVmapAutogradFunction_cpu_float32 2024-12-18T01:17:40.2391137Z 2024-12-18T01:17:43.6254672Z Running inductor/test_cpu_select_algorithm 8/17 ... [2024-12-18 01:17:43.624980] 2024-12-18T01:17:43.6255557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:17:43.6257644Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=8', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:17:43.625386] 2024-12-18T01:21:04.3155292Z 2024-12-18T01:21:04.3156920Z inductor/test_cpu_select_algorithm 3/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_3.17_10dc3b72a710ffe7_.log 2024-12-18T01:21:04.3263741Z Running 74 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order1_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order3_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_freezing_bs_1_Mdim_192_Kdim_196_Ndim_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_k_slicing_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_none_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_k_slicing_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1024_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sigmoid_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sub_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_mul_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sub_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_128_bias_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_49_in_features_4_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_amx_dynamic_shapes_batch_size_1024_in_features_1024_out_features_1024_bias_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1024_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_thread_factors_dynamic_shapes_batch_size_1024_in_features_1024_out_features_1024_bias_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardswish_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_sigmoid_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardswish_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_tanh_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_32_in_features_68_out_features_65_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_68_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_49_in_features_128_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_epilogue_gelu_cpu_bfloat16 2024-12-18T01:21:04.3370652Z 2024-12-18T01:21:08.1256672Z Running dynamo/test_sources 1/1 ... [2024-12-18 01:21:08.125292] 2024-12-18T01:21:08.1257159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:08.1258930Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_sources.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'] ... [2024-12-18 01:21:08.125636] 2024-12-18T01:21:11.9953398Z 2024-12-18T01:21:11.9954458Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_adaddfbb3ace8784_.log 2024-12-18T01:21:11.9956033Z Running 3 items in this shard: test/dynamo/test_sources.py::SourceTests::test_is_local, test/dynamo/test_sources.py::SourceTests::test_property_closure, test/dynamo/test_sources.py::SourceTests::test_supported_nodes 2024-12-18T01:21:11.9957041Z 2024-12-18T01:21:15.6413510Z Running dynamo/test_model_output 1/1 ... [2024-12-18 01:21:15.640893] 2024-12-18T01:21:15.6414051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:15.6415186Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_model_output.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'] ... [2024-12-18 01:21:15.641225] 2024-12-18T01:21:18.2881794Z 2024-12-18T01:21:18.2882878Z inductor/test_cpu_select_algorithm 6/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_6.17_22f00ec995167983_.log 2024-12-18T01:21:18.2944676Z Running 79 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order4_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order4_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_bs_50_Mdim_192_Kdim_196_Ndim_84_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_amx_batch_size_1024_in_features_1024_out_features_1024_bias_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_amx_batch_size_1024_in_features_1024_out_features_1025_bias_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_cache_blocking_batch_size_512_in_features_1024_out_features_1024_bias_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_k_slicing_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_thread_factors_batch_size_1024_in_features_1024_out_features_1024_bias_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardswish_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardswish_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_128_bias_False_epilogue_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_mul_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_385_bias_False_unary_relu_binary_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_16_in_features_68_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_32_in_features_128_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_3_in_features_128_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_3_in_features_4_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_bmm_with_pointwise_dynamic_shapes_bs_5_Mdim_384_Kdim_96_Ndim_64_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_amx_dynamic_shapes_batch_size_1024_in_features_1024_out_features_1025_bias_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_cache_blocking_dynamic_shapes_batch_size_512_in_features_1024_out_features_1024_bias_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1024_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_gelu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_tanh_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_4_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_49_in_features_128_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_epilogue_relu_cpu_bfloat16 2024-12-18T01:21:18.3004950Z 2024-12-18T01:21:19.4613596Z 2024-12-18T01:21:19.4615124Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_ab87210297cec58a_.log 2024-12-18T01:21:19.4625427Z Running 18 items in this shard: test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_assign, test/dynamo/test_model_output.py::TestModelOutput::test_mo_create, test/dynamo/test_model_output.py::TestModelOutput::test_mo_from_outside, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr_missing, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getitem, test/dynamo/test_model_output.py::TestModelOutput::test_mo_index, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init2, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init_with_disable, test/dynamo/test_model_output.py::TestModelOutput::test_mo_newkey, test/dynamo/test_model_output.py::TestModelOutput::test_mo_reconstruct_bytecode, test/dynamo/test_model_output.py::TestModelOutput::test_mo_tuple, test/dynamo/test_model_output.py::TestModelOutput::test_none, test/dynamo/test_model_output.py::TestModelOutput::test_reconstruction, test/dynamo/test_model_output.py::TestModelOutputBertCPU::test_HF_bert_model_output_cpu 2024-12-18T01:21:19.4634300Z 2024-12-18T01:21:21.8833986Z Running inductor/test_memory_planning 1/1 ... [2024-12-18 01:21:21.883020] 2024-12-18T01:21:21.8834558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:21.8835865Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_memory_planning.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'] ... [2024-12-18 01:21:21.883331] 2024-12-18T01:21:23.0881055Z Running higher_order_ops/test_with_effects 1/1 ... [2024-12-18 01:21:23.087724] 2024-12-18T01:21:23.0881680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:23.0883171Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'higher_order_ops/test_with_effects.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'] ... [2024-12-18 01:21:23.088068] 2024-12-18T01:21:25.3118133Z 2024-12-18T01:21:25.3119153Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_b60a134879653a8e_.log 2024-12-18T01:21:25.3119907Z 2024-12-18T01:21:29.0099441Z Running export/test_passes 1/1 ... [2024-12-18 01:21:29.009576] 2024-12-18T01:21:29.0099994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:29.0101772Z 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'] ... [2024-12-18 01:21:29.009930] 2024-12-18T01:21:51.1082531Z 2024-12-18T01:21:51.1083730Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_7a731ea13789bc40_.log 2024-12-18T01:21:51.1091478Z Running 24 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_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, 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 2024-12-18T01:21:51.1099128Z 2024-12-18T01:21:52.0922005Z 2024-12-18T01:21:52.0923171Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_3c2f10db914a822e_.log 2024-12-18T01:21:52.0931281Z Running 18 items in this shard: test/higher_order_ops/test_with_effects.py::TestWithEffects::test_alias_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager_requires_grad, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor_external_op_return_none, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_op_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_aliased_outputs, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_is_output, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_return, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_output_view_simple, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_buffer_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_input_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_register_effectful_custom_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_in_forward_and_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_only_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_torchbind_custom_op 2024-12-18T01:21:52.0938409Z 2024-12-18T01:21:54.8510214Z Running dynamo/test_structured_trace 1/1 ... [2024-12-18 01:21:54.850626] 2024-12-18T01:21:54.8510788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:54.8512042Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_structured_trace.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'] ... [2024-12-18 01:21:54.850956] 2024-12-18T01:21:55.8090492Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2024-12-18 01:21:55.808679] 2024-12-18T01:21:55.8091102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:21:55.8092451Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.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'] ... [2024-12-18 01:21:55.809011] 2024-12-18T01:22:08.3918381Z 2024-12-18T01:22:08.3920479Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_09c8f8ac391c9bee_.log 2024-12-18T01:22:08.3926219Z Running 3 items in this shard: test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_force_pointwise_cat_force_pointwise_cat_False, test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_force_pointwise_cat_force_pointwise_cat_True, test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_kernel_fusion_thresholds 2024-12-18T01:22:08.3929733Z 2024-12-18T01:22:11.9922746Z Running dynamo/test_decorators 1/1 ... [2024-12-18 01:22:11.991828] 2024-12-18T01:22:11.9923480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:22:11.9925851Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_decorators.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'] ... [2024-12-18 01:22:11.992189] 2024-12-18T01:22:23.3737839Z 2024-12-18T01:22:23.3739214Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_c201d5016d6b316b_.log 2024-12-18T01:22:23.3758384Z Running 27 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_computation_with_graph_input, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_user_defined_fn, test/dynamo/test_decorators.py::DecoratorTests::test_class_methods, test/dynamo/test_decorators.py::DecoratorTests::test_disable_for_custom_op, test/dynamo/test_decorators.py::DecoratorTests::test_disable_ignores_outer_wraps, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_module_with_class_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_modules_forward_hook, test/dynamo/test_decorators.py::DecoratorTests::test_disable_optimize, test/dynamo/test_decorators.py::DecoratorTests::test_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_incorrect_usage_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_guarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_unguarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_nn_module, test/dynamo/test_decorators.py::DecoratorTests::test_nested_disable_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_forbid_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_eager, test/dynamo/test_decorators.py::DecoratorTests::test_skip, test/dynamo/test_decorators.py::DecoratorTests::test_substitute_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_disable, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_partially_disable 2024-12-18T01:22:23.3777292Z 2024-12-18T01:22:24.4101944Z 2024-12-18T01:22:24.4103768Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_adac95f5f330e5e8_.log 2024-12-18T01:22:24.4118108Z Running 15 items in this shard: test/dynamo/test_structured_trace.py::StructuredTraceTest::test_chromium_event, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_codecache, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_cudagraphs, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_ddp_graphs, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_dump_file, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_dynamo_error, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_example_fn, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_example_training_fn, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_graph_breaks, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_graph_sizes_dynamic, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_guards_recompiles, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_inductor_error, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_make_fx_fail_partial, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_recompiles, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_schedule 2024-12-18T01:22:24.4131373Z 2024-12-18T01:22:27.0222058Z Running lazy/test_ts_opinfo 1/1 ... [2024-12-18 01:22:27.021806] 2024-12-18T01:22:27.0222809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:22:27.0224822Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_ts_opinfo.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'] ... [2024-12-18 01:22:27.022169] 2024-12-18T01:22:28.1085420Z Running inductor/test_fused_attention 1/1 ... [2024-12-18 01:22:28.108178] 2024-12-18T01:22:28.1086158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:22:28.1087699Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:22:28.108488] 2024-12-18T01:22:41.8600578Z 2024-12-18T01:22:41.8601755Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_e454b04cf5c0284f_.log 2024-12-18T01:22:41.8711781Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2024-12-18T01:22:41.8823418Z 2024-12-18T01:22:45.5512265Z Running inductor/test_torchbind 1/1 ... [2024-12-18 01:22:45.550806] 2024-12-18T01:22:45.5513850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:22:45.5522807Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_torchbind.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'] ... [2024-12-18 01:22:45.551259] 2024-12-18T01:22:58.7846707Z 2024-12-18T01:22:58.7848182Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_dba511b45c507779_.log 2024-12-18T01:22:58.7850157Z Running 1 items in this shard: test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_inductor 2024-12-18T01:22:58.7851011Z 2024-12-18T01:23:02.6033459Z Running dynamo/test_compiler_bisector 1/1 ... [2024-12-18 01:23:02.602963] 2024-12-18T01:23:02.6033991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:23:02.6035216Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_compiler_bisector.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'] ... [2024-12-18 01:23:02.603283] 2024-12-18T01:23:06.2738369Z 2024-12-18T01:23:06.2739412Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_b05f7488c6b53831_.log 2024-12-18T01:23:06.2742550Z Running 7 items in this shard: test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_decomp, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_lowering, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_crossref, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_eager_backend, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_emulate_precision_casts, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_joint_graph, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng 2024-12-18T01:23:06.2745057Z 2024-12-18T01:23:10.0861134Z Running inductor/test_codecache 1/1 ... [2024-12-18 01:23:10.085691] 2024-12-18T01:23:10.0861956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:23:10.0864211Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_codecache.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'] ... [2024-12-18 01:23:10.086071] 2024-12-18T01:24:09.5382303Z 2024-12-18T01:24:09.5383373Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_c73cbd500ef1de9d_.log 2024-12-18T01:24:09.5428989Z Running 96 items in this shard: test/inductor/test_codecache.py::TestFxGraphCache::test_cache_clear, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_guard, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float64_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float64_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float64_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float64_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_int32_bounds_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_int32_bounds_device_cuda_float16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cpu_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cpu_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cuda_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_with_nt, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_with_symint_non_arg_guard, test/inductor/test_codecache.py::TestFxGraphCache::test_constant_handling_device_cpu, test/inductor/test_codecache.py::TestFxGraphCache::test_constant_handling_device_cuda, test/inductor/test_codecache.py::TestFxGraphCache::test_flex_attention_caching, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cpu_inlinable_False, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cpu_inlinable_True, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cuda_inlinable_False, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cuda_inlinable_True, test/inductor/test_codecache.py::TestFxGraphCache::test_generated_kernel_count, test/inductor/test_codecache.py::TestFxGraphCache::test_higher_order_op_bypass_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_higher_order_op_bypass_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_inductor_counters, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_bypass_unsupported, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_get_hash_for_files, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_config_changes, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_custom_passes, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_fake_tensors, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_kwargs, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_stable_strings, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_tensor_constants, test/inductor/test_codecache.py::TestCudaCompileCommand::test_cuda_compile_command, test/inductor/test_codecache.py::TestAutotuneCache::test_autotune_cache, test/inductor/test_codecache.py::TestAutotuneCache::test_bundled_autotune_remote_cache, test/inductor/test_codecache.py::TestRemoteAOTAutogradCache::test_autograd_remote_cache, test/inductor/test_codecache.py::TestRemoteAOTAutogradCache::test_autograd_remote_lazy_backward, test/inductor/test_codecache.py::TestUtils::test_force_disable_coordinate_descent, test/inductor/test_codecache.py::TestUtils::test_fresh_inductor_cache 2024-12-18T01:24:09.5474639Z 2024-12-18T01:24:13.2381587Z Running dynamo/test_modes 1/1 ... [2024-12-18 01:24:13.237642] 2024-12-18T01:24:13.2382474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:24:13.2384530Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_modes.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'] ... [2024-12-18 01:24:13.237983] 2024-12-18T01:25:08.8795785Z 2024-12-18T01:25:08.8797141Z inductor/test_cpu_select_algorithm 8/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_8.17_2f802404b95322aa_.log 2024-12-18T01:25:08.8848688Z Running 61 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order3_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order0_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order2_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order2_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_binary_input_3d_batch_size_384_in_features_196_out_features_384_bias_True_binary_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_div_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_tanh_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardsigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_128_bias_False_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_32_in_features_68_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_int8_mixed_bf16_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_bmm_with_pointwise_dynamic_shapes_bs_5_Mdim_384_Kdim_96_Ndim_65_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1024_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardswish_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardsigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_silu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_False_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_none_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_32_in_features_4_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_128_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_4_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_relu_cpu_bfloat16 2024-12-18T01:25:08.8896217Z 2024-12-18T01:25:12.5438548Z Running dynamo/test_profiler 1/1 ... [2024-12-18 01:25:12.543459] 2024-12-18T01:25:12.5439339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:25:12.5441371Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_profiler.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'] ... [2024-12-18 01:25:12.543817] 2024-12-18T01:25:27.7068194Z 2024-12-18T01:25:27.7069390Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_267b839b2584b6d4_.log 2024-12-18T01:25:27.7086688Z Running 38 items in this shard: test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_reuse_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_tensor_factor_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_unsupported_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_11_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_12_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_16_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_16_fp32_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_17_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_18_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_19_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_1_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_2_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_5_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_reuse_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_tensor_factor_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_unsupported_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_11_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_12_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_16_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_16_fp32_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_17_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_18_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_19_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_1_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_2_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_5_cpu 2024-12-18T01:25:27.7103256Z 2024-12-18T01:25:28.3814085Z 2024-12-18T01:25:28.3814984Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_418fb5aeea421559_.log 2024-12-18T01:25:28.3819263Z Running 9 items in this shard: test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_backend_compile, test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_isolated, test/dynamo/test_profiler.py::DynamoProfilerTests::test_execution_trace_dynamic_shapes, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_list_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_runtime, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup_profiler_step, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_dynamo_compiled_region 2024-12-18T01:25:28.3822750Z 2024-12-18T01:25:31.4196216Z Running dynamo/test_aot_autograd_cache 1/1 ... [2024-12-18 01:25:31.419232] 2024-12-18T01:25:31.4197166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:25:31.4198524Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.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'] ... [2024-12-18 01:25:31.419611] 2024-12-18T01:25:32.0366598Z Running dynamo/test_graph_deduplication 1/1 ... [2024-12-18 01:25:32.036286] 2024-12-18T01:25:32.0367268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:25:32.0368477Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'dynamo/test_graph_deduplication.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'] ... [2024-12-18 01:25:32.036602] 2024-12-18T01:25:37.5590035Z 2024-12-18T01:25:37.5592055Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_11e677b36eaadd96_.log 2024-12-18T01:25:37.5599484Z Running 6 items in this shard: test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_dependent_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_aliasing, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_mutation, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_multiple_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph2 2024-12-18T01:25:37.5605408Z 2024-12-18T01:25:41.1935365Z Running export/test_schema 1/1 ... [2024-12-18 01:25:41.193144] 2024-12-18T01:25:41.1936154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:25:41.1938150Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'export/test_schema.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'] ... [2024-12-18 01:25:41.193507] 2024-12-18T01:25:45.1631824Z 2024-12-18T01:25:45.1632733Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_68fb263b901f0666_.log 2024-12-18T01:25:45.1634512Z Running 4 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged 2024-12-18T01:25:45.1635877Z 2024-12-18T01:25:48.7605001Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2024-12-18 01:25:48.760160] 2024-12-18T01:25:48.7605542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:25:48.7607515Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.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'] ... [2024-12-18 01:25:48.760497] 2024-12-18T01:25:56.4866689Z 2024-12-18T01:25:56.4869330Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_26b24c575ef6ca8b_.log 2024-12-18T01:25:56.4871783Z Running 1 items in this shard: test/inductor/test_efficient_conv_bn_eval.py::EfficientConvBNEvalCpuTests::test_basic_cpu 2024-12-18T01:25:56.4872761Z 2024-12-18T01:26:00.1140632Z Running dynamo/test_export 1/1 ... [2024-12-18 01:26:00.113662] 2024-12-18T01:26:00.1141134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:00.1142368Z 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'] ... [2024-12-18 01:26:00.114016] 2024-12-18T01:26:14.7953722Z 2024-12-18T01:26:14.7954980Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_a2e51e316dc43217_.log 2024-12-18T01:26:14.7968548Z Running 30 items in this shard: test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_aot_runtime_trace_joint, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_guard_single_entry_device_cuda_bfloat16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_guard_single_entry_device_cuda_float16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_cuda_bfloat16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_cuda_bfloat16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_cuda_float16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_cuda_float16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_lazy_backward, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_basic, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_clear_fx_graph_cache, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_compiled_autograd_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_fx_graph_cache_off, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_inference_graph_cache_hit_with_compiled_autograd_enabled, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_nn_module_with_params_global_constant, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_view_replay_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_basic_hash_key, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_global_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_graphs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_inputs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_freezing, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_identical_graphs_and_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_incompatible_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_nn_module_with_params, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_normal_torch_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_private_builtin, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_private_namespace, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_safe_torchfunction, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_sanitize_gm_for_cache 2024-12-18T01:26:14.7981659Z 2024-12-18T01:26:18.3657165Z Running export/test_unflatten 1/1 ... [2024-12-18 01:26:18.365258] 2024-12-18T01:26:18.3658126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:18.3660069Z 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'] ... [2024-12-18 01:26:18.365641] 2024-12-18T01:26:21.1499270Z 2024-12-18T01:26:21.1500464Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_d59fa0cf799dd485_.log 2024-12-18T01:26:21.1510399Z Running 22 items in this shard: test/dynamo/test_modes.py::TorchDispatchModeTests::test_skip_torch_dispatch_modes, test/dynamo/test_modes.py::TorchFunctionModeTests::test_builtin_equivalent_funcs, test/dynamo/test_modes.py::TorchFunctionModeTests::test_error_empty_stack_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_flex_attention, test/dynamo/test_modes.py::TorchFunctionModeTests::test_intermedate_torch_function_mode_construction_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_len_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_nested_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_push_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_register_hook, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_clear_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_mutation_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_disable, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enabled_guard, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enter_exit, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_cpp, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_py, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_highest_priority, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_restore_on_exc 2024-12-18T01:26:21.1519383Z 2024-12-18T01:26:21.8583199Z 2024-12-18T01:26:21.8584153Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_6d7d4ffc60dc4345_.log 2024-12-18T01:26:21.8644692Z 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_enum_in_tuple, 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_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_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_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_global_function, 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_subclass_parameters, 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 2024-12-18T01:26:21.8703067Z 2024-12-18T01:26:24.8910813Z Running inductor/test_dependencies 1/1 ... [2024-12-18 01:26:24.890673] 2024-12-18T01:26:24.8911329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:24.8913227Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_dependencies.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'] ... [2024-12-18 01:26:24.891070] 2024-12-18T01:26:25.5499934Z Running dynamo/test_optimizers 1/1 ... [2024-12-18 01:26:25.549599] 2024-12-18T01:26:25.5500679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:25.5502698Z 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'] ... [2024-12-18 01:26:25.549947] 2024-12-18T01:26:30.4213514Z 2024-12-18T01:26:30.4215170Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_6e446e6f7d6a75f5_.log 2024-12-18T01:26:30.4219214Z 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 2024-12-18T01:26:30.4221936Z 2024-12-18T01:26:32.3157625Z 2024-12-18T01:26:32.3158785Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_da0350da34df8cad_.log 2024-12-18T01:26:32.3159566Z 2024-12-18T01:26:33.4022614Z 2024-12-18T01:26:33.4023537Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_12815e7e073e733f_.log 2024-12-18T01:26:33.4032369Z Running 25 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_eager, 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_requires_grad_param, 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 2024-12-18T01:26:33.4040603Z 2024-12-18T01:26:34.0758852Z Running test_ops_jit 1/2 ... [2024-12-18 01:26:34.075543] 2024-12-18T01:26:34.0759278Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:34.0760821Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:26:34.075882] 2024-12-18T01:26:36.0387880Z Running inductor/test_padding 1/1 ... [2024-12-18 01:26:36.038421] 2024-12-18T01:26:36.0388356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:36.0389578Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'inductor/test_padding.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'] ... [2024-12-18 01:26:36.038744] 2024-12-18T01:26:37.0854762Z Running test_ops 5/5 ... [2024-12-18 01:26:37.085098] 2024-12-18T01:26:37.0855337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:37.0856611Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:26:37.085436] 2024-12-18T01:26:40.1741924Z 2024-12-18T01:26:40.1742894Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_a1ce12071e3fa28c_.log 2024-12-18T01:26:40.1743581Z 2024-12-18T01:26:43.7454729Z Running lazy/test_extract_compiled_graph 1/1 ... [2024-12-18 01:26:43.745123] 2024-12-18T01:26:43.7455262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:43.7457021Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'lazy/test_extract_compiled_graph.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'] ... [2024-12-18 01:26:43.745448] 2024-12-18T01:26:45.3351087Z 2024-12-18T01:26:45.3352127Z lazy/test_extract_compiled_graph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_extract_compiled_graph_1.1_acbb7aead467b06a_.log 2024-12-18T01:26:45.3352923Z 2024-12-18T01:26:49.0458160Z Running test_transformers 2/2 ... [2024-12-18 01:26:49.045469] 2024-12-18T01:26:49.0458704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:26:49.0461116Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_transformers.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'] ... [2024-12-18 01:26:49.045818] 2024-12-18T01:35:18.5165287Z 2024-12-18T01:35:18.5166251Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_fe5e93a5f400836e_.log 2024-12-18T01:35:18.6707301Z Running 1576 items in this shard: test/test_transformers.py::TestTransformersCPU::test_decoder_padding_and_src_mask_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_disable_fastpath_cpu, test/test_transformers.py::TestTransformersCPU::test_encoder_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_math_backend_high_precision_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_1_bias_True_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_8_bias_False_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_script_encoder_subclass_cpu, test/test_transformers.py::TestTransformersCPU::test_train_with_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_3_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_4_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_1_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_8_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_subclass_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_dispatch_fails_no_backend_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_bfloat16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_float16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_193_dropout_p_0_2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_256_dropout_p_0_0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_head_dim_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_sdpa_kernel_grouped_query_attention_cuda_fused_kernel0_cpu, test/test_transformers.py::TestSDPACPU::test_scaled_dot_product_attention_math_with_negative_scale_kernel0_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_False_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_True_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_cpu_flash_attn_nan_propagation_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_non_masked_rows_nan_props_float16_fill_val_inf_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_backward_with_gradient_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_with_inf_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape2_cpu 2024-12-18T01:35:18.8190240Z 2024-12-18T01:35:19.7913357Z Uploading artifacts took 1.27 seconds 2024-12-18T01:35:22.1696188Z Running torch_np/test_basic 1/1 ... [2024-12-18 01:35:22.169206] 2024-12-18T01:35:22.1697182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:22.1699108Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_basic.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'] ... [2024-12-18 01:35:22.169533] 2024-12-18T01:35:27.6436517Z 2024-12-18T01:35:27.6437902Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_6dbf81c86cc8d105_.log 2024-12-18T01:35:27.6689720Z Running 453 items in this shard: test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func0, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func1, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func10, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func11, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func12, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func13, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func14, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func15, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func16, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func17, 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test/torch_np/test_basic.py::TestOneArr::test_asarray_tensor_func72, test/torch_np/test_basic.py::TestOneArr::test_asarray_tensor_func73, test/torch_np/test_basic.py::TestOneArr::test_asarray_tensor_func74, test/torch_np/test_basic.py::TestOneArr::test_asarray_tensor_func8, test/torch_np/test_basic.py::TestOneArr::test_asarray_tensor_func9, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func0_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func0_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func0_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func0_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func10_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func10_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func10_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func10_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func1_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func1_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func1_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func1_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func2_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func2_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func2_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func2_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func3_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func3_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func3_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func3_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func4_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func4_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func4_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func4_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func5_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func5_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func5_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func5_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func6_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func6_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func6_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func6_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func7_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func7_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func7_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func7_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func8_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func8_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func8_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func8_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func9_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func9_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func9_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_array_func9_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func4, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func4, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func4, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func2_np_func2, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func2_np_func2, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func2_np_func2, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func0, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func1, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func2, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func3, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func0, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func1, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func2, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func3, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func4, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func5, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func6, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func0_args0, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func1_args1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func2_args2, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func3_args3, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func4_args4, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func5_args5, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func6_args6, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func7_args7, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func8_args8, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func9_args9, test/torch_np/test_basic.py::TestNormalizations::test_too_few_args_positional, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args_with_defaults, test/torch_np/test_basic.py::TestCopyTo::test_copyto_basic, test/torch_np/test_basic.py::TestCopyTo::test_copyto_typecast, test/torch_np/test_basic.py::TestCopyTo::test_copytobcast, test/torch_np/test_basic.py::TestDivmod::test_divmod_no_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_both_pos_and_kw, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_list, test/torch_np/test_basic.py::TestDivmod::test_divmod_pos_only, test/torch_np/test_basic.py::TestSmokeNotImpl::test_nimpl_basic, test/torch_np/test_basic.py::TestDefaultDtype::test_defaultdtype_defaults, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_float32, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_pytorch, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_float32, test/torch_np/test_basic.py::TestExport::test_exported_objects, test/torch_np/test_basic.py::TestCtorNested::test_arrays_in_lists, test/torch_np/test_basic.py::TestMisc::test_f16_on_cuda, test/torch_np/test_basic.py::TestMisc::test_ndarrays_to_tensors 2024-12-18T01:35:27.6928442Z 2024-12-18T01:35:31.9583077Z Running test_complex 1/1 ... [2024-12-18 01:35:31.957919] 2024-12-18T01:35:31.9583772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:31.9586235Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_complex.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'] ... [2024-12-18 01:35:31.958272] 2024-12-18T01:35:35.5274458Z 2024-12-18T01:35:35.5275724Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_926697cd797cd942_.log 2024-12-18T01:35:35.5284975Z Running 15 items in this shard: test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float16, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float32, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float64, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex64 2024-12-18T01:35:35.5293831Z 2024-12-18T01:35:39.1526820Z Running test_tensorexpr_pybind 1/1 ... [2024-12-18 01:35:39.152267] 2024-12-18T01:35:39.1527586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:39.1531204Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_tensorexpr_pybind.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'] ... [2024-12-18 01:35:39.152574] 2024-12-18T01:35:42.7397790Z 2024-12-18T01:35:42.7399136Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_f0ad9dc22976ddc7_.log 2024-12-18T01:35:42.7782752Z Running 597 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_expm1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ge_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igammac_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lgamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_singular_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matrix_exp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_min_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_movedim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_group_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_rms_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_outer_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sigmoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sinc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_tanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmod___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__chunk_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__segment_reduce_offsets_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__softmax_backward_data_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__upsample_bilinear2d_aa_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_alias_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_arange_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_partial_views_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_partial_views_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bucketize_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdouble_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ceil_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cfloat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cfloat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_max_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_complex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_copysign_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_digamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_like_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_like_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_strided_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eq_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erfc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_erfinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp2_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_exp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_as_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_as_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expand_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_expm1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eye_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_eye_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft2_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fft2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_fftshift_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft2_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_hfft_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft2_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifft2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftn_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ifftn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfft2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_ihfftn_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_fft_irfft_cpu_float32, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_chunk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_float32 2024-12-18T01:35:42.8157929Z 2024-12-18T01:35:43.5249982Z 2024-12-18T01:35:43.5251212Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_bcab9240974240be_.log 2024-12-18T01:35:43.5263415Z Running 17 items in this shard: test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_alloc_in_loop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_call_raw, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dtype_error, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape_2d, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_external_calls, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop_module, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_custom_lowering, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_expand, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_permute, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_scalar_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_t, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_tensor_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_transpose, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_simple_sum, test/test_tensorexpr_pybind.py::TestExprHandlePyBind::test_unary_ops 2024-12-18T01:35:43.5274520Z 2024-12-18T01:35:47.2508531Z Running test_type_hints 1/1 ... [2024-12-18 01:35:47.250448] 2024-12-18T01:35:47.2509243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:47.2511349Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_hints.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'] ... [2024-12-18 01:35:47.250812] 2024-12-18T01:35:47.3946634Z Running functorch/test_minifier 1/1 ... [2024-12-18 01:35:47.394291] 2024-12-18T01:35:47.3947580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:47.3950519Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/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'] ... [2024-12-18 01:35:47.394723] 2024-12-18T01:35:51.0702379Z 2024-12-18T01:35:51.0703846Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_5c9fd5f9e6b43e57_.log 2024-12-18T01:35:51.0705593Z Running 1 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples 2024-12-18T01:35:51.0706367Z 2024-12-18T01:35:51.4152215Z 2024-12-18T01:35:51.4153674Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_9252c147a8a895b8_.log 2024-12-18T01:35:51.4157677Z Running 5 items in this shard: test/functorch/test_minifier.py::TestMinifier::test_has_add_mul, test/functorch/test_minifier.py::TestMinifier::test_has_mul_minifier, test/functorch/test_minifier.py::TestMinifier::test_input_returned, test/functorch/test_minifier.py::TestMinifier::test_module, test/functorch/test_minifier.py::TestMinifier::test_tup_use 2024-12-18T01:35:51.4160519Z 2024-12-18T01:35:54.8047944Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2024-12-18 01:35:54.804370] 2024-12-18T01:35:54.8048903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:54.8051249Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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'] ... [2024-12-18 01:35:54.804748] 2024-12-18T01:35:55.3242541Z Running test_per_overload_api 1/1 ... [2024-12-18 01:35:55.323839] 2024-12-18T01:35:55.3243312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:35:55.3245617Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_per_overload_api.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'] ... [2024-12-18 01:35:55.324226] 2024-12-18T01:35:58.9954784Z 2024-12-18T01:35:58.9956099Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_32b77fd2805477cc_.log 2024-12-18T01:35:58.9959243Z Running 3 items in this shard: test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverload, test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverloadpacket, test/test_per_overload_api.py::TestPerOverloadAPI::test_decompose 2024-12-18T01:35:58.9961275Z 2024-12-18T01:36:03.2791280Z Running test_numpy_interop 1/1 ... [2024-12-18 01:36:03.278691] 2024-12-18T01:36:03.2792048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:03.2793983Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:36:03.279022] 2024-12-18T01:36:03.4352904Z 2024-12-18T01:36:03.4354281Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_fcb5b272513e9a93_.log 2024-12-18T01:36:03.4531229Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_numpy_doc_examples, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_object, test/torch_np/numpy_tests/core/test_numeric.py::TestDtypePositional::test_dtype_positional, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_2D, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_list, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_0, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_1, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_2, test/torch_np/numpy_tests/core/test_numeric.py::TestStringFunction::test_set_string_function, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll1d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll2d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional 2024-12-18T01:36:03.4705390Z 2024-12-18T01:36:06.9426932Z Running nn/test_multihead_attention 1/1 ... [2024-12-18 01:36:06.942261] 2024-12-18T01:36:06.9427842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:06.9429839Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:36:06.942582] 2024-12-18T01:36:06.9993683Z 2024-12-18T01:36:06.9994856Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_27af4efe99118147_.log 2024-12-18T01:36:07.0008513Z Running 41 items in this shard: test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_invalid_numpy_array_sequence_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_numpy_scalar_ctor_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_empty_tensors_interop_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_list_of_ndarray_warning_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_no_leak_on_invalid_dtype_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_has_storage_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_multiplication_numpy_scalar_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_array_interface_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_multi_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_non_writeable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bfloat16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_unresizable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_overflow_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_bool_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_force_argument_cpu 2024-12-18T01:36:07.0021555Z 2024-12-18T01:36:11.1604067Z Running test_fx_experimental 1/1 ... [2024-12-18 01:36:11.159949] 2024-12-18T01:36:11.1604852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:11.1608213Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx_experimental.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'] ... [2024-12-18 01:36:11.160510] 2024-12-18T01:36:19.4233957Z 2024-12-18T01:36:19.4235152Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_b3192690c5837ad7_.log 2024-12-18T01:36:19.4245847Z Running 19 items in this shard: test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_False, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_True, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_3d_attn_mask, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_fast_path_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_nested_tensor_outside_fast_path, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_no_bias, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_small_test_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_bias_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_weight_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_cpu, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_mock_cpu 2024-12-18T01:36:19.4255805Z 2024-12-18T01:36:24.3423421Z Running functorch/test_logging 1/1 ... [2024-12-18 01:36:24.341940] 2024-12-18T01:36:24.3424492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:24.3427665Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_logging.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'] ... [2024-12-18 01:36:24.342462] 2024-12-18T01:36:28.0126024Z 2024-12-18T01:36:28.0127507Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_425a5fb308bbac7c_.log 2024-12-18T01:36:28.0129349Z Running 1 items in this shard: test/functorch/test_logging.py::TestAOTLogging::test_logging 2024-12-18T01:36:28.0130123Z 2024-12-18T01:36:31.8337596Z Running test_native_functions 1/1 ... [2024-12-18 01:36:31.833333] 2024-12-18T01:36:31.8338501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:31.8340392Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:36:31.833707] 2024-12-18T01:36:35.5528974Z 2024-12-18T01:36:35.5529954Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_2d5102f70cb4087f_.log 2024-12-18T01:36:35.5534792Z Running 11 items in this shard: test/test_native_functions.py::TestNativeFunctions::test_intlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_optional_filled_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_string_defaults, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload_but_is_unique, test/test_native_functions.py::TestNativeFunctions::test_vararg_symintlist_error 2024-12-18T01:36:35.5538956Z 2024-12-18T01:36:39.5064773Z Running functorch/test_control_flow 1/1 ... [2024-12-18 01:36:39.506022] 2024-12-18T01:36:39.5065640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:36:39.5068801Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_control_flow.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'] ... [2024-12-18 01:36:39.506555] 2024-12-18T01:37:34.8501841Z 2024-12-18T01:37:34.8502977Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_cfeb899275635d3e_.log 2024-12-18T01:37:34.8863327Z Running 720 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu_torchvision, test/test_fx_experimental.py::TestFXExperimental::test_partition_device_mapping, test/test_fx_experimental.py::TestFXExperimental::test_partition_latency, test/test_fx_experimental.py::TestFXExperimental::test_partition_node_manipulation, test/test_fx_experimental.py::TestFXExperimental::test_replace_target_nodes_with, test/test_fx_experimental.py::TestFXExperimental::test_saturate_host, test/test_fx_experimental.py::TestFXExperimental::test_size_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_sparse_nn_partition, test/test_fx_experimental.py::TestFXExperimental::test_split_module_dead_code, test/test_fx_experimental.py::TestFXExperimental::test_split_module_default_arg, test/test_fx_experimental.py::TestFXExperimental::test_split_module_keep_original_order_and_noop_graph, test/test_fx_experimental.py::TestFXExperimental::test_split_module_kwargs_expansion, test/test_fx_experimental.py::TestFXExperimental::test_split_module_return_node, test/test_fx_experimental.py::TestFXExperimental::test_split_qualname_mapping, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_creation, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_trivial_resnet, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_uniquename, test/test_fx_experimental.py::TestFXExperimental::test_to_folder, test/test_fx_experimental.py::TestFXExperimental::test_traceable_function_with_nonstandard_name, test/test_fx_experimental.py::TestFXExperimental::test_type_matches, test/test_fx_experimental.py::TestTranslationValidation::test_sat, test/test_fx_experimental.py::TestTranslationValidation::test_sat_bitwise, test/test_fx_experimental.py::TestTranslationValidation::test_sympy_to_z3, test/test_fx_experimental.py::TestTranslationValidation::test_unsat, test/test_fx_experimental.py::TestTranslationValidation::test_z3str, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_args_op_overload_cpu, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_H_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_T_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___getitem___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___radd___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rdiv___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmatmul___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmod___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmul___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rpow___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rsub___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__chunk_cat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__softmax_backward_data_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_abs_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_acos_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_acosh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_add_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addbmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addcdiv_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addcmul_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmm_decomposed_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmv_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_alias_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_all_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_allclose_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_amax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_amin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_aminmax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_angle_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_any_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_arange_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argmax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argmin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argsort_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argwhere_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_scatter_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_asin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_asinh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atan2_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atan_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atanh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_1d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_2d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_3d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_baddbmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bernoulli_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bfloat16_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_block_diag_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bool_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_shapes_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_tensors_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_to_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bucketize_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_byte_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cartesian_prod_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cauchy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cdist_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cdouble_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_ceil_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cfloat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_chalf_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_char_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_inverse_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_solve_cpu_float32, 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test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triu_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_true_divide_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trunc_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unflatten_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_uniform_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_consecutive_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vdot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vsplit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vstack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_where_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_xlogy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zero__cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_like_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_quantized_eb_cpu 2024-12-18T01:37:34.9208655Z 2024-12-18T01:37:38.7402192Z Running torch_np/test_ufuncs_basic 1/1 ... [2024-12-18 01:37:38.739750] 2024-12-18T01:37:38.7403126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:37:38.7405248Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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'] ... [2024-12-18 01:37:38.740162] 2024-12-18T01:37:43.7112010Z 2024-12-18T01:37:43.7113271Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_a2c05626a80d2a87_.log 2024-12-18T01:37:43.7277294Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc4_out_dtype_float32, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype_and_out 2024-12-18T01:37:43.7438303Z 2024-12-18T01:37:47.4085914Z Running functorch/test_ac 1/1 ... [2024-12-18 01:37:47.408167] 2024-12-18T01:37:47.4086797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:37:47.4089509Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_ac.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'] ... [2024-12-18 01:37:47.408599] 2024-12-18T01:37:50.8487333Z 2024-12-18T01:37:50.8488800Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_00a7a3b7900b61e0_.log 2024-12-18T01:37:50.8490072Z 2024-12-18T01:37:54.4800595Z Running nn/test_packed_sequence 1/1 ... [2024-12-18 01:37:54.479576] 2024-12-18T01:37:54.4801369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:37:54.4811098Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_packed_sequence.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'] ... [2024-12-18 01:37:54.479988] 2024-12-18T01:37:58.4513670Z 2024-12-18T01:37:58.4514704Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_b7bba928042e2be3_.log 2024-12-18T01:37:58.4519530Z Running 12 items in this shard: test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_padded_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_non_iterable_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_tensor_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to_memory_format, test/nn/test_packed_sequence.py::PackedSequenceTest::test_total_length, test/nn/test_packed_sequence.py::PackedSequenceTest::test_type_casts, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_wrong_order 2024-12-18T01:37:58.4523795Z 2024-12-18T01:38:02.0875334Z Running test_sympy_utils 1/1 ... [2024-12-18 01:38:02.087197] 2024-12-18T01:38:02.0875796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:02.0878150Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sympy_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'] ... [2024-12-18 01:38:02.087578] 2024-12-18T01:38:25.2314112Z 2024-12-18T01:38:25.2315101Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_545fcef5cefa5c5a_.log 2024-12-18T01:38:25.2373023Z Running 204 items in this shard: test/test_sympy_utils.py::TestNumbers::test_float_cast, test/test_sympy_utils.py::TestNumbers::test_int_infinity, test/test_sympy_utils.py::TestNumbers::test_lt_self, test/test_sympy_utils.py::TestNumbers::test_mixed_oo_int_oo, test/test_sympy_utils.py::TestNumbers::test_relation, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_and_, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_or_, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_add, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_eq, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_floordiv, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ge, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_gt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_le, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_lt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_maximum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_minimum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mod, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mul, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ne, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow_by_natural, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_sub, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_truediv, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_mul_zero_unknown, test/test_sympy_utils.py::TestValueRanges::test_pow_half, test/test_sympy_utils.py::TestValueRanges::test_unary_bool_ref_range_fn_not_, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_abs, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_ceil, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_exp, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_floor, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_log, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_neg, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_reciprocal, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_sqrt, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_truediv, test/test_sympy_utils.py::TestSympySolve::test_addition, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Equality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_LessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Unequality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympySolve::test_give_up, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Equality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Unequality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_LessThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Unequality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Unequality, test/test_sympy_utils.py::TestSympySolve::test_simple_floordiv_gcd, test/test_sympy_utils.py::TestSympySolve::test_z3_proof_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympyFunctions::test_pickle, test/test_sympy_utils.py::TestSingletonInt::test_basic 2024-12-18T01:38:25.2429387Z 2024-12-18T01:38:28.8883316Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2024-12-18 01:38:28.887952] 2024-12-18T01:38:28.8883917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:28.8886015Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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'] ... [2024-12-18 01:38:28.888333] 2024-12-18T01:38:32.5075157Z 2024-12-18T01:38:32.5076229Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_7812487d61cb5099_.log 2024-12-18T01:38:32.5077925Z Running 2 items in this shard: test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_exception, test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_no_exception 2024-12-18T01:38:32.5078933Z 2024-12-18T01:38:36.0482560Z Running test_sparse_semi_structured 1/1 ... [2024-12-18 01:38:36.047823] 2024-12-18T01:38:36.0483391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:36.0485764Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_sparse_semi_structured.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'] ... [2024-12-18 01:38:36.048260] 2024-12-18T01:38:39.7679619Z 2024-12-18T01:38:39.7680661Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_6cbcf3808e52ca5a_.log 2024-12-18T01:38:39.7698493Z Running 42 items in this shard: test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cusparselt, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cutlass, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_sp24_compile, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_indices, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_linear, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_min_sparse_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mlp, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_TN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_to_sparse_semi_structured, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dim, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_values, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_gemm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_edge_case1, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_id, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_meta_correctness, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_prune_dense_static_sort, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pruning_algo_largest_abs_values_greedy, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply_dense, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_bmm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_mat_vec, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions_all_patterns, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_linear_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_sparse_semi_structured_ops_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_compile_autotune, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_csrc_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cusparselt_backend, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_fp8fp8_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm_fp8 2024-12-18T01:38:39.7715856Z 2024-12-18T01:38:42.0912688Z 2024-12-18T01:38:42.0913608Z test_ops 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.5_67e00d0661247527_.log 2024-12-18T01:38:42.3183820Z Running 6837 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_unary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lgamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___getitem___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_acosh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_any_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_asin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_2d_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_column_stack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_combinations_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_deg2rad_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_double_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_permuted_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erfc_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_exp2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fftshift_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_rfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fmin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_full_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_gt_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_heaviside_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_index_select_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_le_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_logical_xor_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_meshgrid_list_of_tensors_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_min_binary_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_narrow_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_native_dropout_backward_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_polygamma_polygamma_n_3_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_ravel_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_repeat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_repeat_interleave_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_resolve_neg_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_roll_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_rot90_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_rsqrt_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_select_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sgn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_short_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sinh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_softmax_with_dtype_cpu_bool, 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test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_squeeze_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_squeeze_multiple_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_stack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_t_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_to_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_transpose_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_tril_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_triu_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unbind_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unflatten_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unique_consecutive_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unique_cpu_bool, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_linear_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_nonzero_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_ones_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_outer_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_permute_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_repeat_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_round_decimals_0_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_slice_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_softmax_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sparse_sampled_addmm_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_float_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_int_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_abs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_acos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_acosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_addr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_asin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_broadcast_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_clone_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_column_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dist_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_rank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_or_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_sum_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tensordot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_H_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___radd___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cdouble_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cfloat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_item_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_matrix_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vecdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_masked_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_argwhere_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_baddbmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_clone_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_inner_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cholesky_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eigh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_singular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_slogdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_triangular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logcumsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_unpack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mH_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softsign_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_fro_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_outer_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_list_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_uniform_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmatmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log10_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hardshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hardtanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_relu6_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softplus_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_tanhshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtri_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tril_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unbind_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_offsets_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_inverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_corrcoef_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cov_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_embed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gather_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histc_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_right_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_det_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_unshuffle_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_embedding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_static_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_qr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resize__cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resize_as__cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hamming_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hann_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signbit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sort_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_stft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_t_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_take_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapz_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_triu_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_true_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_uniform_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unique_consecutive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unsafe_chunk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_mean_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vstack_cpu_float32 2024-12-18T01:38:42.5376287Z 2024-12-18T01:38:43.4785885Z Running nn/test_parametrization 1/1 ... [2024-12-18 01:38:43.478189] 2024-12-18T01:38:43.4786671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:43.4788632Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_parametrization.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'] ... [2024-12-18 01:38:43.478548] 2024-12-18T01:38:45.7208105Z Running functorch/test_vmap 1/1 ... [2024-12-18 01:38:45.720419] 2024-12-18T01:38:45.7208833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:45.7211090Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_vmap.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'] ... [2024-12-18 01:38:45.720815] 2024-12-18T01:38:47.9986966Z 2024-12-18T01:38:47.9988024Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_6fec5b9cc8d75a72_.log 2024-12-18T01:38:48.0014839Z Running 58 items in this shard: test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_deepcopy_after_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_deepcopy_after_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_errors_parametrized_tensor_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_errors_parametrized_tensor_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_errors_unparametrized_tensor_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_errors_unparametrized_tensor_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_initialization_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_initialization_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_multiple_inputs_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_multiple_inputs_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_dim_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_dim_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_forward_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_forward_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_load_state_dict_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_load_state_dict_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_value_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_new_spectral_norm_value_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_errors_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_errors_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_orthogonal_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_parametrization_same_training_mode_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_parametrization_same_training_mode_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_buffer_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_buffer_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_nested_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_nested_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_register_parametrization_no_grad, test/nn/test_parametrization.py::TestNNParametrization::test_serialization_parametrization_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_serialization_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_many_to_one_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_many_to_one_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_right_inverse_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_right_inverse_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_single_param_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_single_param_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_type_before_parametrizations_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_type_before_parametrizations_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_deepcopy_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_deepcopy_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_pickle_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_pickle_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_state_dict_compat_swap_False, test/nn/test_parametrization.py::TestNNParametrization::test_weight_norm_state_dict_compat_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_wrapper_subclass_parametrization_swap_True, test/nn/test_parametrization.py::TestNNParametrizationDeviceCPU::test_weight_norm_parametrization_swap_False_cpu, test/nn/test_parametrization.py::TestNNParametrizationDeviceCPU::test_weight_norm_parametrization_swap_True_cpu 2024-12-18T01:38:48.0040688Z 2024-12-18T01:38:51.6207169Z Running test_flop_counter 1/1 ... [2024-12-18 01:38:51.620296] 2024-12-18T01:38:51.6207956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:38:51.6211019Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_flop_counter.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'] ... [2024-12-18 01:38:51.620674] 2024-12-18T01:38:56.5426034Z 2024-12-18T01:38:56.5427408Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_e10cd81686139d17_.log 2024-12-18T01:38:56.5438384Z Running 21 items in this shard: test/test_flop_counter.py::TestFlopCounter::test_addmm_out, test/test_flop_counter.py::TestFlopCounter::test_autograd_op, test/test_flop_counter.py::TestFlopCounter::test_backward, test/test_flop_counter.py::TestFlopCounter::test_backward_reset, test/test_flop_counter.py::TestFlopCounter::test_conv_backwards_as_decomposition, test/test_flop_counter.py::TestFlopCounter::test_conv_transpose_loop, test/test_flop_counter.py::TestFlopCounter::test_convs, test/test_flop_counter.py::TestFlopCounter::test_custom, test/test_flop_counter.py::TestFlopCounter::test_custom_op, test/test_flop_counter.py::TestFlopCounter::test_flop_counter_variety, test/test_flop_counter.py::TestFlopCounter::test_hook_registration, test/test_flop_counter.py::TestFlopCounter::test_inference_mode, test/test_flop_counter.py::TestFlopCounter::test_module, test/test_flop_counter.py::TestFlopCounter::test_nested_attention_fake_tensors, test/test_flop_counter.py::TestFlopCounter::test_noop, test/test_flop_counter.py::TestFlopCounter::test_op, test/test_flop_counter.py::TestFlopCounter::test_pytrees, test/test_flop_counter.py::TestFlopCounter::test_sdpa, test/test_flop_counter.py::TestFlopCounter::test_sdpa_nested_tensor, test/test_flop_counter.py::TestFlopCounter::test_torchscript, test/test_flop_counter.py::TestFlopCounter::test_warning 2024-12-18T01:38:56.5448699Z 2024-12-18T01:39:00.2416808Z Running test_bundled_inputs 1/1 ... [2024-12-18 01:39:00.241228] 2024-12-18T01:39:00.2417632Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:00.2419738Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_bundled_inputs.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'] ... [2024-12-18 01:39:00.241634] 2024-12-18T01:39:02.0705888Z 2024-12-18T01:39:02.0707395Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_9c8a504d077ad982_.log 2024-12-18T01:39:02.1579062Z Running 830 items in this shard: test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_complex, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_different_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_grad_through_cond, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_inner_fn, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_inner_tensor, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_mixed_require_grad, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_nested, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_pytree_input, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_pytree_not_all_inputs_used, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_same_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_torch_nn_module, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_user_nn_module, test/functorch/test_control_flow.py::TestControlFlow::test_cond_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_in_forloop, test/functorch/test_control_flow.py::TestControlFlow::test_cond_no_trace, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_nested_list, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_no_grad_output, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple_partial_grad, test/functorch/test_control_flow.py::TestControlFlow::test_map_dict_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_map_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_inputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_outputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_list_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_scan_RNN, test/functorch/test_control_flow.py::TestControlFlow::test_scan_associative_scan, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_eager_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_eager_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_none_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_none_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_eager_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_eager_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_none_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_none_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_int32, 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test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_non_tensor_compile_mode_eager, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_non_tensor_compile_mode_none, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_scanned_0_compile_mode_eager, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_scanned_0_compile_mode_none, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_compile_mode_eager, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_compile_mode_none, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_shape_compile_mode_eager, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_shape_compile_mode_none, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_simple_graph, test/functorch/test_control_flow.py::TestControlFlow::test_scan_simple_graph_wrong_dtype, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_wrong_pytree, test/functorch/test_control_flow.py::TestControlFlow::test_scan_y_less_ndim_then_dim, test/functorch/test_control_flow.py::TestControlFlow::test_while_loop_gpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_combine_fn_wrong_meta_in_combine_fn, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_wrong_dim, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_eager_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_eager_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_shape_failure, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_failure, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_map_in_combine_fn, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_nested, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_eager_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_eager_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_none_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_none_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_sparse_tensor, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_wrong_pytree, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_accepts_torch_function_as_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_backward, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_aot_func_check_functional, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_data_dependent_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_aliasing_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_false_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_true_brancte, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_output_alias_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_make_fx_preserve_stack_trace_for_nodes_in_subgraph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_no_dynamo_cache_limit, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_retrace_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_simple_with_linear_compile_check_graph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_subgraph_same_shape_env_as_parent, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_symint_operands_requires_grad_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_symint_operands_requires_grad_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_trace_set__and_mutate_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_trace_set__and_mutate_intermediate, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_args_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_1, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_single_input_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_consecutive_make_fx_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_param_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_python_scalar_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_sym_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_unbacked_sym_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_hop_raises_if_not_overriding_call, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_arg_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_unfunc_boolean_tensor_for_nested_map_cond, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_cond_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized_elem_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_pytree_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_aot_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_two_hops_not_sharing_code_obj, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap_boolcond_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap_boolcond_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested2_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_mismatch_in_meta, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_cpp, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_functorch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_no, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_python, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_with_linear_compile_check_graph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestHopSchema::test_cond_eager_run_with_item, test/functorch/test_control_flow.py::TestHopSchema::test_function_schema_gen, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_GraphModule, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_SymBool, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_SymInt, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_Tensor, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_bool, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_int, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_str, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_GraphModule, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymBool, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymInt, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_Tensor, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_bool, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_int, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_str, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_schema_gen 2024-12-18T01:39:02.2472402Z 2024-12-18T01:39:05.4152217Z 2024-12-18T01:39:05.4153170Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_3d77eb9dc0c87c93_.log 2024-12-18T01:39:05.4158312Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors 2024-12-18T01:39:05.4162591Z 2024-12-18T01:39:06.8424318Z Running test_numba_integration 1/1 ... [2024-12-18 01:39:06.842069] 2024-12-18T01:39:06.8424987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:06.8426726Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_numba_integration.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'] ... [2024-12-18 01:39:06.842435] 2024-12-18T01:39:09.2223179Z Running test_itt 1/1 ... [2024-12-18 01:39:09.221815] 2024-12-18T01:39:09.2223949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:09.2226622Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_itt.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'] ... [2024-12-18 01:39:09.222185] 2024-12-18T01:39:10.8640838Z 2024-12-18T01:39:10.8642382Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_f750bd05cedc64ed_.log 2024-12-18T01:39:10.8649411Z Running 8 items in this shard: test/test_numba_integration.py::TestNumbaIntegration::test_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_array_adaptor, test/test_numba_integration.py::TestNumbaIntegration::test_conversion_errors, test/test_numba_integration.py::TestNumbaIntegration::test_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_inferred_strides, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_lifetime 2024-12-18T01:39:10.8655104Z 2024-12-18T01:39:13.1441843Z 2024-12-18T01:39:13.1442852Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_68318692e6d5ed20_.log 2024-12-18T01:39:13.1443664Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt 2024-12-18T01:39:13.1443980Z 2024-12-18T01:39:16.0177450Z Running profiler/test_profiler_tree 1/1 ... [2024-12-18 01:39:16.017327] 2024-12-18T01:39:16.0178269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:16.0180452Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'profiler/test_profiler_tree.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'] ... [2024-12-18 01:39:16.017739] 2024-12-18T01:39:17.2415604Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2024-12-18 01:39:17.241147] 2024-12-18T01:39:17.2416520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:17.2418823Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.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'] ... [2024-12-18 01:39:17.241568] 2024-12-18T01:39:20.0392127Z 2024-12-18T01:39:20.0393912Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_a456deac102afd94_.log 2024-12-18T01:39:20.0401101Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function 2024-12-18T01:39:20.0406377Z 2024-12-18T01:39:21.9634271Z 2024-12-18T01:39:21.9635954Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_5719843be02c8ae2_.log 2024-12-18T01:39:21.9724938Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple 2024-12-18T01:39:21.9811997Z 2024-12-18T01:39:24.9057828Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2024-12-18 01:39:24.905300] 2024-12-18T01:39:24.9059003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:24.9061200Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.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'] ... [2024-12-18 01:39:24.905744] 2024-12-18T01:39:26.9206866Z Running test_fx_reinplace_pass 1/1 ... [2024-12-18 01:39:26.920350] 2024-12-18T01:39:26.9207348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:26.9209290Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_fx_reinplace_pass.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'] ... [2024-12-18 01:39:26.920677] 2024-12-18T01:39:31.1935510Z 2024-12-18T01:39:31.1936759Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_61436d9d40e0f0a1_.log 2024-12-18T01:39:31.1941714Z Running 12 items in this shard: test/test_fx_reinplace_pass.py::TestReinplacePass::test_out_node_updated, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_basic, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_different_metadata, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_index_mutation, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_overlapping_memory, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_op, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid2, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_valid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_sym_input, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_with_view 2024-12-18T01:39:31.1946271Z 2024-12-18T01:39:35.1392775Z Running test_fx_passes 1/1 ... [2024-12-18 01:39:35.138715] 2024-12-18T01:39:35.1393845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:35.1395459Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_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'] ... [2024-12-18 01:39:35.139137] 2024-12-18T01:39:41.2642023Z 2024-12-18T01:39:41.2643459Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_cb506a25b53b19fa_.log 2024-12-18T01:39:41.2679244Z Running 53 items in this shard: test/test_fx_passes.py::TestFXGraphPasses::test_fuser_pass_deep_model, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition10, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition11, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition4, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition5, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition6, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition7, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition8, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition9, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn0_expected_partition0_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn10_expected_partition10_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn11_expected_partition11_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn12_expected_partition12_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn13_expected_partition13_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn14_expected_partition14_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn15_expected_partition15_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn16_expected_partition16_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn17_expected_partition17_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn18_expected_partition18_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn1_expected_partition1_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn2_expected_partition2_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn3_expected_partition3_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn4_expected_partition4_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn5_expected_partition5_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn6_expected_partition6_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn7_expected_partition7_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn8_expected_partition8_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn9_expected_partition9_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_independent_output_fn0_expected_partition0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model1, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model10, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model11, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model12, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model13, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model14, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model15, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model2, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model3, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model4, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model5, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model6, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model7, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model8, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model9 2024-12-18T01:39:41.2714266Z 2024-12-18T01:39:46.3800673Z Running test_segment_reductions 1/1 ... [2024-12-18 01:39:46.379630] 2024-12-18T01:39:46.3801599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:46.3803684Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_segment_reductions.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'] ... [2024-12-18 01:39:46.380033] 2024-12-18T01:39:47.6091215Z 2024-12-18T01:39:47.6093004Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_8e0adad2b09df750_.log 2024-12-18T01:39:47.6239074Z Running 186 items in this shard: test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_leak, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_add, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_create, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_blocked, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_lower_align, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_integers_to_negative_integer_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_large_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_mixed_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_modular_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_small_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_d, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_e, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_f, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_exact, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_roundoff, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_modulus_basic, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_branches, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_signed_zeros, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_zero_division, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_iinfo_long_values_1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_iinfo_long_values_2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_int_from_long, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_int_raise_behaviour, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_numpy_scalar_relational_operators, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_numpy_scalar_relational_operators_2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_scalar_comparison_to_none, test/torch_np/numpy_tests/core/test_scalarmath.py::TestRepr::test_float_repr, test/torch_np/numpy_tests/core/test_scalarmath.py::TestMultiply::test_no_seq_repeat_basic_array_like, test/torch_np/numpy_tests/core/test_scalarmath.py::TestMultiply::test_seq_repeat, test/torch_np/numpy_tests/core/test_scalarmath.py::TestNegative::test_exceptions, test/torch_np/numpy_tests/core/test_scalarmath.py::TestNegative::test_result, test/torch_np/numpy_tests/core/test_scalarmath.py::TestSubtract::test_exceptions, test/torch_np/numpy_tests/core/test_scalarmath.py::TestSubtract::test_result, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_builtin_abs_dtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_builtin_abs_dtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_builtin_abs_dtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_builtin_abs_dtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_builtin_abs_dtype4, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_numpy_abs_dtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_numpy_abs_dtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_numpy_abs_dtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_numpy_abs_dtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestAbs::test_numpy_abs_dtype4, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_B_op0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_B_op1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_b_op0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_b_op1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_h_op0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_h_op1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_i_op0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_i_op1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_l_op0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBitShifts::test_shift_all_bits_type_code_l_op1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_complex_hashes_type_code_D, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_complex_hashes_type_code_F, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_float_and_complex_hashes_type_code_D, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_float_and_complex_hashes_type_code_F, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_float_and_complex_hashes_type_code_d, test/torch_np/numpy_tests/core/test_scalarmath.py::TestHash::test_float_and_complex_hashes_type_code_e, 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test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mul_____rop_____rmul___op10_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype1 2024-12-18T01:39:47.6382984Z 2024-12-18T01:39:51.5029779Z 2024-12-18T01:39:51.5030720Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_0f3f004a01302c7a_.log 2024-12-18T01:39:51.5064359Z Running 74 items in this shard: test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int64 2024-12-18T01:39:51.5097325Z 2024-12-18T01:39:51.9745111Z Running test_legacy_vmap 1/1 ... [2024-12-18 01:39:51.974208] 2024-12-18T01:39:51.9745569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:51.9747749Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_legacy_vmap.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'] ... [2024-12-18 01:39:51.974532] 2024-12-18T01:39:55.4291188Z Running test_subclass 1/1 ... [2024-12-18 01:39:55.428695] 2024-12-18T01:39:55.4291924Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:39:55.4300061Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_subclass.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'] ... [2024-12-18 01:39:55.429069] 2024-12-18T01:39:57.7484315Z 2024-12-18T01:39:57.7485857Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_f11f680c7b9cd88e_.log 2024-12-18T01:39:57.7555881Z Running 124 items in this shard: test/test_legacy_vmap.py::TestVmapAPILegacy::test_accepts_nested_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_backward_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_batched_gradient_basic, test/test_legacy_vmap.py::TestVmapAPILegacy::test_constant_function, test/test_legacy_vmap.py::TestVmapAPILegacy::test_different_map_dim_size_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_atan2, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_does_not_warn_by_default, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_masked_fill, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_multiple_returns, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_warns_when_warnings_are_enabled, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_with_undefined_grad, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_zero_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_func_with_no_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_functools_partial, test/test_legacy_vmap.py::TestVmapAPILegacy::test_grad_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dim_not_in_tensor_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dims_wrong_type_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_different_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_same_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_unary, test/test_legacy_vmap.py::TestVmapAPILegacy::test_integer_in_dim_but_not_tensor_input_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs_error_cases, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_non_default_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_different_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_same_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nn_module, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_default_in_dims_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_tensor_output_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_zero_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_none_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nonzero_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_noop_in_inner_vmap, test/test_legacy_vmap.py::TestVmapAPILegacy::test_not_enough_in_dims_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dim_out_of_bounds_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_and_num_outputs_mismatch_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_edge_case, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_must_be_int_or_tuple_of_int_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_single_input, test/test_legacy_vmap.py::TestVmapAPILegacy::test_unsupported_op_err_msg, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_T_numpy, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_as_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_binary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_bmm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_cat, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_chunk, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clamp, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clone, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_comparison_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_conj, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_diagonal, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_dot, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_expand_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_fill_and_zero_inplace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_imag, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_floating_point, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_movedim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mv, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_narrow, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_zeros, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_no_random_op_support, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_result_type, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_select, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_slice, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_squeeze, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stack, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stride, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_sum_dim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_t, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_tensor_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_to, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_trace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_transpose, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unbind, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unfold, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check_ok, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_add_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_binary_cross_entropy_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_diagonal_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_div_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_expand_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_index_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_manyview_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_on_view_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_lgamma_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log1p_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_logsumexp_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_max_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_median_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_min_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_mul_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_permute_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_reshape_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_select_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sigmoid_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_slice_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_stack_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sub_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_threshold_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_trace_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_multiple_grad_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check_ok 2024-12-18T01:39:57.7624902Z 2024-12-18T01:40:00.0016599Z 2024-12-18T01:40:00.0017878Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_e8aa146cb10953d7_.log 2024-12-18T01:40:00.0085189Z Running 100 items in this shard: test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_lazy_module_base_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_diag_tensor_below, test/test_subclass.py::TestSubclass::test_lazy_module_logging_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_sparse_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_module_optimization_base_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_diag_tensor_below, test/test_subclass.py::TestSubclass::test_module_optimization_logging_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_sparse_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_tensor_subclass_storage_data_accesses_throw, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_True 2024-12-18T01:40:00.0151110Z 2024-12-18T01:40:01.7669496Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2024-12-18 01:40:01.766537] 2024-12-18T01:40:01.7670424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:01.7672753Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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'] ... [2024-12-18 01:40:01.766868] 2024-12-18T01:40:03.8075343Z Running test_dlpack 1/1 ... [2024-12-18 01:40:03.807156] 2024-12-18T01:40:03.8076110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:03.8078168Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dlpack.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'] ... [2024-12-18 01:40:03.807511] 2024-12-18T01:40:07.6770647Z 2024-12-18T01:40:07.6771881Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_9b96a82402496439_.log 2024-12-18T01:40:07.6846425Z Running 118 items in this shard: test/test_dlpack.py::TestTorchDlPackCPU::test_automatically_select_in_creation_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_convert_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_is_conj_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_non_strided_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_requires_grad_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_normalize_strides_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_shared_storage_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_uint8 2024-12-18T01:40:07.6919905Z 2024-12-18T01:40:13.2125125Z Running nn/test_embedding 1/1 ... [2024-12-18 01:40:13.212033] 2024-12-18T01:40:13.2125884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:13.2128653Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_embedding.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'] ... [2024-12-18 01:40:13.212545] 2024-12-18T01:40:13.4002590Z 2024-12-18T01:40:13.4004279Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_0edd15cce094068d_.log 2024-12-18T01:40:13.4179963Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size0_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size1_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size2_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape2_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_byteorder_check, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_generalized_raise_multiloop, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_sdot_bug_8577, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_xerbla_override, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_dynamic_programming_optimization, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_three_arguments, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_two_arguments, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_dynamic_programming_logic, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_dynamic_programming_optimization_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_three_arguments_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_too_few_input_arrays, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_two_arguments_and_out, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_first_and_last_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_first_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_vector_as_last_argument, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_-2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_result, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a0_axes0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a1_axes1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype 2024-12-18T01:40:13.4351529Z 2024-12-18T01:40:17.4559487Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2024-12-18 01:40:17.455503] 2024-12-18T01:40:17.4560445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:17.4562590Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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'] ... [2024-12-18 01:40:17.455889] 2024-12-18T01:40:22.0271205Z 2024-12-18T01:40:22.0272709Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_7f69eceb9d4eecc1_.log 2024-12-18T01:40:22.0303008Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray 2024-12-18T01:40:22.0332059Z 2024-12-18T01:40:22.7933998Z 2024-12-18T01:40:22.7935345Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_a01dfb88ae81d58a_.log 2024-12-18T01:40:22.8015559Z Running 165 items in this shard: test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_padding_idx_error, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int16, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_uint8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm_unsorted_repeating_indices, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_basic, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_empty_tensor, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_include_last_offset, test/nn/test_embedding.py::TestEmbeddingNN::test_large_tensors, test/nn/test_embedding.py::TestEmbeddingNN::test_move_sparse_half_embedding, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_backward_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_dimension_errors_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_dense_grad_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_backward_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_fwd_AD_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_scalar_weight_error_cpu 2024-12-18T01:40:22.8094716Z 2024-12-18T01:40:25.7274706Z Running test_masked 1/1 ... [2024-12-18 01:40:25.727041] 2024-12-18T01:40:25.7275464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:25.7277329Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_masked.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'] ... [2024-12-18 01:40:25.727401] 2024-12-18T01:40:27.0768235Z Running test_jit 1/1 ... [2024-12-18 01:40:27.076398] 2024-12-18T01:40:27.0768902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:40:27.0771338Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit.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'] ... [2024-12-18 01:40:27.076820] 2024-12-18T01:41:03.2823344Z 2024-12-18T01:41:03.2824544Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_7da8375bc82cb3ef_.log 2024-12-18T01:41:03.2958845Z Running 212 items in this shard: test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_123_cpu 2024-12-18T01:41:03.3089217Z 2024-12-18T01:41:08.0988266Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2024-12-18 01:41:08.098388] 2024-12-18T01:41:08.0989330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:41:08.0991213Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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'] ... [2024-12-18 01:41:08.098736] 2024-12-18T01:41:14.3215798Z 2024-12-18T01:41:14.3217469Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_221299dd6b217ca5_.log 2024-12-18T01:41:14.3271100Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic 2024-12-18T01:41:14.3323347Z 2024-12-18T01:41:19.5601996Z Running functorch/test_vmap_registrations 1/1 ... [2024-12-18 01:41:19.559756] 2024-12-18T01:41:19.5602929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:41:19.5610383Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'functorch/test_vmap_registrations.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'] ... [2024-12-18 01:41:19.560634] 2024-12-18T01:41:28.8911520Z 2024-12-18T01:41:28.8913299Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_5c430da3ebee5ad4_.log 2024-12-18T01:41:29.0913302Z Running 1716 items in this shard: test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::cat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::get_first], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::leaky_relu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_add_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_full_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_reduced_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Byte], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Char], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Double], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Half], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Long], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Short], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_choose_qparams_per_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution.deprecated], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_double_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_clear_plan_cache], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_set_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_debug_has_internal_overlap], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_dim_arange], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_embedding_bag_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_gather_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_grid_sampler_2d_cpu_fallback_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_has_compatible_shallow_copy_type], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_is_zerotensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_lu_with_info], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_nnpack_available], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pack_padded_sequence_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_circular], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_enum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_packed_sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_propagate_xla_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_remove_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_reshape_from_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_rowwise_prune], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_saturate_weight_to_fp16], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_scaled_dot_product_attention_math], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_shape_as_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_draw], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_ff_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_initialize_state_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_scramble_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_bsc_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_bsr_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_compressed_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_coo_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_csc_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_csr_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_log_softmax.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_log_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_mm.reduce], 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test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pin_memory], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pinverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::poisson_nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::positive], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::prelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::promote_types], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::qr.Q], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::qr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::quantile.scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::quantile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ravel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::real], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::refine_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::relu6], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::relu6_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rename], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rename_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::repeat_interleave.self_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::repeat_interleave.self_int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::requires_grad_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::reshape], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::reshape_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::resolve_conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::resolve_neg], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retain_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retains_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::row_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::scaled_dot_product_attention], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_.source_Tensor_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::silu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slow_conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::smm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_digamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_exp2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expm1], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammainc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaincc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_i0], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log1p], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logsumexp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sspaddmm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft.center], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_numel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.tensor_indices_or_sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::thnn_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_mkldnn_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trace_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::triplet_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where] 2024-12-18T01:41:29.2866228Z 2024-12-18T01:41:33.4155471Z Running profiler/test_memory_profiler 1/1 ... [2024-12-18 01:41:33.414984] 2024-12-18T01:41:33.4156463Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:41:33.4158963Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'profiler/test_memory_profiler.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'] ... [2024-12-18 01:41:33.415331] 2024-12-18T01:41:43.3459249Z 2024-12-18T01:41:43.3460924Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_953f9ca01a2eba05_.log 2024-12-18T01:41:43.3486778Z Running 33 items in this shard: test/profiler/test_memory_profiler.py::TestMemoryProfiler::test_config_check, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module_and_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_low_level, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_complicated, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_non_op_allocations, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_inplace, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_stacked, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_with_annotations, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_tensorlist, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_lazy, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_lazily_initialized, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_manual_optimizer_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_memory_timeline, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients_set_to_none, test/profiler/test_memory_profiler.py::TestMemoryProfilerTimelineCPU::test_memory_timeline_no_id_cpu 2024-12-18T01:41:43.3511623Z 2024-12-18T01:41:47.4131116Z Running test_maskedtensor 1/1 ... [2024-12-18 01:41:47.412707] 2024-12-18T01:41:47.4131938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:41:47.4133941Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_maskedtensor.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'] ... [2024-12-18 01:41:47.413027] 2024-12-18T01:42:07.6147540Z 2024-12-18T01:42:07.6148936Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_dfe5cc3032656bb2_.log 2024-12-18T01:42:07.6666543Z Running 953 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn21, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn22, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn23, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn24, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn25, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn26, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn27, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn28, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn29, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn3, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn30, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn31, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn32, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn33, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn34, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn35, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn36, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn37, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn38, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn39, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn4, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn40, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn41, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn42, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn43, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn44, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn45, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn46, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn47, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn48, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn49, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn5, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn50, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn51, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn52, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn53, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn54, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn55, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn56, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn57, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn6, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn7, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn8, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn9, test/test_maskedtensor.py::TestUnary::test_unary_fn0, test/test_maskedtensor.py::TestUnary::test_unary_fn1, test/test_maskedtensor.py::TestUnary::test_unary_fn10, test/test_maskedtensor.py::TestUnary::test_unary_fn11, test/test_maskedtensor.py::TestUnary::test_unary_fn12, test/test_maskedtensor.py::TestUnary::test_unary_fn13, test/test_maskedtensor.py::TestUnary::test_unary_fn14, test/test_maskedtensor.py::TestUnary::test_unary_fn15, test/test_maskedtensor.py::TestUnary::test_unary_fn16, test/test_maskedtensor.py::TestUnary::test_unary_fn17, test/test_maskedtensor.py::TestUnary::test_unary_fn18, test/test_maskedtensor.py::TestUnary::test_unary_fn19, test/test_maskedtensor.py::TestUnary::test_unary_fn2, test/test_maskedtensor.py::TestUnary::test_unary_fn20, test/test_maskedtensor.py::TestUnary::test_unary_fn21, test/test_maskedtensor.py::TestUnary::test_unary_fn22, test/test_maskedtensor.py::TestUnary::test_unary_fn23, test/test_maskedtensor.py::TestUnary::test_unary_fn24, test/test_maskedtensor.py::TestUnary::test_unary_fn25, test/test_maskedtensor.py::TestUnary::test_unary_fn26, test/test_maskedtensor.py::TestUnary::test_unary_fn27, test/test_maskedtensor.py::TestUnary::test_unary_fn28, test/test_maskedtensor.py::TestUnary::test_unary_fn29, test/test_maskedtensor.py::TestUnary::test_unary_fn3, test/test_maskedtensor.py::TestUnary::test_unary_fn30, test/test_maskedtensor.py::TestUnary::test_unary_fn31, test/test_maskedtensor.py::TestUnary::test_unary_fn32, test/test_maskedtensor.py::TestUnary::test_unary_fn33, test/test_maskedtensor.py::TestUnary::test_unary_fn34, test/test_maskedtensor.py::TestUnary::test_unary_fn35, test/test_maskedtensor.py::TestUnary::test_unary_fn36, test/test_maskedtensor.py::TestUnary::test_unary_fn37, test/test_maskedtensor.py::TestUnary::test_unary_fn38, test/test_maskedtensor.py::TestUnary::test_unary_fn39, test/test_maskedtensor.py::TestUnary::test_unary_fn4, test/test_maskedtensor.py::TestUnary::test_unary_fn40, test/test_maskedtensor.py::TestUnary::test_unary_fn41, test/test_maskedtensor.py::TestUnary::test_unary_fn42, test/test_maskedtensor.py::TestUnary::test_unary_fn43, test/test_maskedtensor.py::TestUnary::test_unary_fn44, test/test_maskedtensor.py::TestUnary::test_unary_fn45, test/test_maskedtensor.py::TestUnary::test_unary_fn46, test/test_maskedtensor.py::TestUnary::test_unary_fn47, test/test_maskedtensor.py::TestUnary::test_unary_fn48, test/test_maskedtensor.py::TestUnary::test_unary_fn49, test/test_maskedtensor.py::TestUnary::test_unary_fn5, test/test_maskedtensor.py::TestUnary::test_unary_fn50, test/test_maskedtensor.py::TestUnary::test_unary_fn51, test/test_maskedtensor.py::TestUnary::test_unary_fn52, test/test_maskedtensor.py::TestUnary::test_unary_fn53, test/test_maskedtensor.py::TestUnary::test_unary_fn54, test/test_maskedtensor.py::TestUnary::test_unary_fn55, test/test_maskedtensor.py::TestUnary::test_unary_fn56, test/test_maskedtensor.py::TestUnary::test_unary_fn57, test/test_maskedtensor.py::TestUnary::test_unary_fn58, test/test_maskedtensor.py::TestUnary::test_unary_fn59, test/test_maskedtensor.py::TestUnary::test_unary_fn6, test/test_maskedtensor.py::TestUnary::test_unary_fn60, test/test_maskedtensor.py::TestUnary::test_unary_fn61, test/test_maskedtensor.py::TestUnary::test_unary_fn7, test/test_maskedtensor.py::TestUnary::test_unary_fn8, test/test_maskedtensor.py::TestUnary::test_unary_fn9, test/test_maskedtensor.py::TestBinary::test_binary_fn0, test/test_maskedtensor.py::TestBinary::test_binary_fn1, test/test_maskedtensor.py::TestBinary::test_binary_fn10, test/test_maskedtensor.py::TestBinary::test_binary_fn11, test/test_maskedtensor.py::TestBinary::test_binary_fn12, test/test_maskedtensor.py::TestBinary::test_binary_fn13, test/test_maskedtensor.py::TestBinary::test_binary_fn14, test/test_maskedtensor.py::TestBinary::test_binary_fn15, test/test_maskedtensor.py::TestBinary::test_binary_fn16, test/test_maskedtensor.py::TestBinary::test_binary_fn17, test/test_maskedtensor.py::TestBinary::test_binary_fn18, test/test_maskedtensor.py::TestBinary::test_binary_fn19, test/test_maskedtensor.py::TestBinary::test_binary_fn2, test/test_maskedtensor.py::TestBinary::test_binary_fn20, test/test_maskedtensor.py::TestBinary::test_binary_fn21, test/test_maskedtensor.py::TestBinary::test_binary_fn22, test/test_maskedtensor.py::TestBinary::test_binary_fn23, test/test_maskedtensor.py::TestBinary::test_binary_fn24, test/test_maskedtensor.py::TestBinary::test_binary_fn25, test/test_maskedtensor.py::TestBinary::test_binary_fn26, test/test_maskedtensor.py::TestBinary::test_binary_fn27, test/test_maskedtensor.py::TestBinary::test_binary_fn28, test/test_maskedtensor.py::TestBinary::test_binary_fn29, test/test_maskedtensor.py::TestBinary::test_binary_fn3, test/test_maskedtensor.py::TestBinary::test_binary_fn30, test/test_maskedtensor.py::TestBinary::test_binary_fn31, test/test_maskedtensor.py::TestBinary::test_binary_fn32, test/test_maskedtensor.py::TestBinary::test_binary_fn33, test/test_maskedtensor.py::TestBinary::test_binary_fn34, test/test_maskedtensor.py::TestBinary::test_binary_fn35, test/test_maskedtensor.py::TestBinary::test_binary_fn4, test/test_maskedtensor.py::TestBinary::test_binary_fn5, test/test_maskedtensor.py::TestBinary::test_binary_fn6, test/test_maskedtensor.py::TestBinary::test_binary_fn7, test/test_maskedtensor.py::TestBinary::test_binary_fn8, test/test_maskedtensor.py::TestBinary::test_binary_fn9, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn0, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn1, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn10, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn11, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn12, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn13, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn14, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn15, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn16, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn17, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn18, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn19, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn2, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn20, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn21, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn22, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn23, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn24, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn25, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn26, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn27, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn28, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn29, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn3, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn4, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn5, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn6, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn7, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn8, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn9, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add_, test/test_maskedtensor.py::TestReductions::test__is_any_true, test/test_maskedtensor.py::TestReductions::test__is_any_true_false, test/test_maskedtensor.py::TestReductions::test_all, test/test_maskedtensor.py::TestReductions::test_amax, test/test_maskedtensor.py::TestReductions::test_amax_grad, test/test_maskedtensor.py::TestReductions::test_amin, test/test_maskedtensor.py::TestReductions::test_amin_grad, test/test_maskedtensor.py::TestReductions::test_any_true_dtype, test/test_maskedtensor.py::TestReductions::test_backward, test/test_maskedtensor.py::TestReductions::test_grad_dtype, test/test_maskedtensor.py::TestReductions::test_max_not_implemented, test/test_maskedtensor.py::TestReductions::test_mean, test/test_maskedtensor.py::TestReductions::test_mean_dim_grad, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1a, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1b, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1c, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1d, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1e, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1f, test/test_maskedtensor.py::TestReductions::test_prod, test/test_maskedtensor.py::TestReductions::test_prod_grad, test/test_maskedtensor.py::TestReductions::test_sum, test/test_maskedtensor.py::TestReductions::test_sum_grad, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout0_cpu_float16, 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test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float64, 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test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float64, test/test_maskedtensor.py::TestBasicsCPU::test_add_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_contiguous_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_dim_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_layouts_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_sizes_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_grad_warning_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_coo_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_csr_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_layout_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_tensor_inputs_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu 2024-12-18T01:42:07.7144066Z 2024-12-18T01:42:12.8203609Z Running nn/test_dropout 1/1 ... [2024-12-18 01:42:12.819926] 2024-12-18T01:42:12.8204456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:42:12.8206514Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'nn/test_dropout.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'] ... [2024-12-18 01:42:12.820304] 2024-12-18T01:42:17.1918288Z 2024-12-18T01:42:17.1919388Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_d805d18508ff716d_.log 2024-12-18T01:42:17.1922813Z Running 9 items in this shard: test/nn/test_dropout.py::TestDropoutNN::test_AlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_FeatureAlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_invalid_dropout_p, test/nn/test_dropout.py::TestDropoutNN::test_native_dropout_corner_case, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout1d_cpu_float64, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout2d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout3d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_empty_dropout_cpu 2024-12-18T01:42:17.1925662Z 2024-12-18T01:42:21.8832145Z Running test_meta 1/3 ... [2024-12-18 01:42:21.882850] 2024-12-18T01:42:21.8832854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:42:21.8835274Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:42:21.883193] 2024-12-18T01:42:31.3789968Z 2024-12-18T01:42:31.3790802Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_8db5eeadc487271c_.log 2024-12-18T01:42:31.4419803Z Running 2454 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, test/test_jit.py::TestList::test_del, test/test_jit.py::TestList::test_dict_keyword_is_correctly_typed, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_empty_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_empty_iterable, test/test_jit.py::TestList::test_dict_keyword_with_internal_aggregate_function, test/test_jit.py::TestList::test_dict_keyword_with_iterable, test/test_jit.py::TestList::test_dict_keyword_with_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_kwargs_using_container_values, test/test_jit.py::TestList::test_dict_keyword_with_mapping, test/test_jit.py::TestList::test_dict_keyword_with_mapping_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_mismatched_annotations, test/test_jit.py::TestList::test_dict_keyword_with_nested_call, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, test/test_jit.py::TestList::test_mutable_list_insert_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_nested_loop, test/test_jit.py::TestList::test_mutable_list_pop, test/test_jit.py::TestList::test_mutable_list_pop2, test/test_jit.py::TestList::test_mutable_list_pop_at, test/test_jit.py::TestList::test_mutable_list_pop_at2, test/test_jit.py::TestList::test_mutable_list_pop_at_negative, test/test_jit.py::TestList::test_mutable_list_pop_at_negative2, test/test_jit.py::TestList::test_mutable_list_pop_empty, test/test_jit.py::TestList::test_mutable_list_pop_slice, test/test_jit.py::TestList::test_mutable_list_remove, test/test_jit.py::TestList::test_mutable_list_remove2, test/test_jit.py::TestList::test_mutable_list_remove_not_existing, test/test_jit.py::TestList::test_mutable_list_remove_tensor, test/test_jit.py::TestList::test_mutable_list_reverse, test/test_jit.py::TestList::test_mutable_list_reverse_empty, test/test_jit.py::TestList::test_mutable_tensor_list_reverse, test/test_jit.py::TestList::test_no_element_type_annotation, test/test_jit.py::TestList::test_slice_index, test/test_jit.py::TestList::test_tensor_list_count, test/test_jit.py::TestList::test_tensor_list_count_not_existing, test/test_jit.py::TestList::test_tensor_list_index, test/test_jit.py::TestList::test_tensor_list_index_not_existing, test/test_jit.py::TestList::test_to_list, test/test_jit.py::TestList::test_to_list_gpu, test/test_jit.py::TestDict::test_aug_assign, test/test_jit.py::TestDict::test_basic, test/test_jit.py::TestDict::test_clear, test/test_jit.py::TestDict::test_copy, test/test_jit.py::TestDict::test_del, test/test_jit.py::TestDict::test_dict_bool_conversion, test/test_jit.py::TestDict::test_dict_preserves_order, test/test_jit.py::TestDict::test_dict_to_python, test/test_jit.py::TestDict::test_dict_variance, test/test_jit.py::TestDict::test_get, test/test_jit.py::TestDict::test_get_boolkey, test/test_jit.py::TestDict::test_items, test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_inside_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_kwarg_construct, test/test_jit.py::TestNamedTuple::test_namedtuple_lower, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_serialization, test/test_jit.py::TestNamedTuple::test_namedtuple_slice_unpack, test/test_jit.py::TestNamedTuple::test_namedtuple_type_annotation, test/test_jit.py::TestNamedTuple::test_namedtuple_wrong_types, test/test_jit.py::TestNamedTuple::test_return_named_tuple, test/test_jit.py::TestScriptDict::test_bool, test/test_jit.py::TestScriptDict::test_contains, test/test_jit.py::TestScriptDict::test_delitem, test/test_jit.py::TestScriptDict::test_getitem, test/test_jit.py::TestScriptDict::test_items, test/test_jit.py::TestScriptDict::test_iter, test/test_jit.py::TestScriptDict::test_len, test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, test/test_jit.py::TestAwait::test_eager_await_non_scriptable, test/test_jit.py::TestAwait::test_jit_trace, test/test_jit.py::TestAwait::test_nowait, test/test_jit.py::TestAwait::test_nowait_class, test/test_jit.py::TestAwait::test_script, test/test_jit.py::TestDataParallel::test_python_submodule_script, test/test_jit.py::TestDataParallel::test_shared_module, test/test_jit.py::TestDataParallel::test_tensor_sharing, test/test_jit.py::TestDataParallel::test_tensor_sharing_with_forward, test/test_jit.py::TestDataParallel::test_traced_module, test/test_jit.py::TestModels::test_alexnet, test/test_jit.py::TestModels::test_dcgan_models, test/test_jit.py::TestModels::test_dcgan_models_cuda, test/test_jit.py::TestModels::test_mnist, test/test_jit.py::TestModels::test_mnist_cuda, test/test_jit.py::TestModels::test_mnist_training_leaks_no_memory_cuda, test/test_jit.py::TestModels::test_neural_style, test/test_jit.py::TestModels::test_neural_style_cuda, test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, test/test_jit.py::TestUpgraders::test_aten_linspace, test/test_jit.py::TestUpgraders::test_aten_linspace_out, test/test_jit.py::TestUpgraders::test_aten_logspace, test/test_jit.py::TestUpgraders::test_aten_logspace_out, test/test_jit.py::TestUpgraders::test_aten_test_serialization, test/test_jit.py::TestUpgraders::test_populated_test_upgrader_graph, test/test_jit.py::TestUpgraders::test_populated_upgrader_graph, test/test_jit.py::TestTensorCreationOps::test_randperm_default_dtype, test/test_jit.py::TestTensorCreationOps::test_randperm_specifed_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_specified_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_specified_dtype, test/test_jit.py::TestModuleAPIs::test_customized_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_default_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_submodule_customized_state_dict_methods, test/test_jit.py::TestScriptProfile::test_basic, test/test_jit.py::TestScriptProfile::test_empty, test/test_jit.py::TestScriptProfile::test_multi, test/test_jit.py::TestScriptProfile::test_script, test/test_jit.py::TestScriptProfile::test_section, test/test_jit.py::TestFunctionalToInplaceActivation::test_check_no_type_promotion, test/test_jit.py::TestFunctionalToInplaceActivation::test_functional_to_inplace_activation, 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test/test_jit.py::TestScript::test_script_sequential_sliced_iteration, test/test_jit.py::TestScript::test_script_star_assign, test/test_jit.py::TestScript::test_script_star_expr, test/test_jit.py::TestScript::test_script_star_expr_string, test/test_jit.py::TestScript::test_scriptable_fn_as_attr, test/test_jit.py::TestScript::test_scriptmodule_multi_head_attn_cuda, test/test_jit.py::TestScript::test_scriptmodule_releases_tensors_cuda, test/test_jit.py::TestScript::test_scriptmodule_transformer_cuda, test/test_jit.py::TestScript::test_select_after_chunk, test/test_jit.py::TestScript::test_sequence_parsing, test/test_jit.py::TestScript::test_sequential_intermediary_types, test/test_jit.py::TestScript::test_serialization_big_ints, test/test_jit.py::TestScript::test_serialization_sharing, test/test_jit.py::TestScript::test_serialize_long_lines, test/test_jit.py::TestScript::test_serialized_source_ranges, test/test_jit.py::TestScript::test_serialized_source_ranges2, test/test_jit.py::TestScript::test_serialized_source_ranges_dont_jitter, test/test_jit.py::TestScript::test_serialized_source_ranges_graph, test/test_jit.py::TestScript::test_serialized_source_ranges_no_dups, test/test_jit.py::TestScript::test_set_attribute_through_optional, test/test_jit.py::TestScript::test_shape_analysis_grad_property, test/test_jit.py::TestScript::test_shape_analysis_loop, test/test_jit.py::TestScript::test_shape_prop_promote_scalar_arg, test/test_jit.py::TestScript::test_shape_prop_promotion, test/test_jit.py::TestScript::test_signed_float_zero, test/test_jit.py::TestScript::test_single_starred_expr_for_loop, test/test_jit.py::TestScript::test_single_starred_lhs, test/test_jit.py::TestScript::test_singleton_tuple_unpack, test/test_jit.py::TestScript::test_slice_guard_elimination, test/test_jit.py::TestScript::test_split, test/test_jit.py::TestScript::test_stack, test/test_jit.py::TestScript::test_static_if_prop, test/test_jit.py::TestScript::test_static_method_on_module, test/test_jit.py::TestScript::test_static_methods, test/test_jit.py::TestScript::test_str_cast, test/test_jit.py::TestScript::test_string_cu, test/test_jit.py::TestScript::test_string_device_implicit_conversion, test/test_jit.py::TestScript::test_string_frontend_elif, test/test_jit.py::TestScript::test_string_index, test/test_jit.py::TestScript::test_string_len, test/test_jit.py::TestScript::test_string_list, test/test_jit.py::TestScript::test_string_new_line, test/test_jit.py::TestScript::test_string_ops, test/test_jit.py::TestScript::test_string_print, test/test_jit.py::TestScript::test_string_single_escape, test/test_jit.py::TestScript::test_string_slicing, test/test_jit.py::TestScript::test_string_sort, test/test_jit.py::TestScript::test_string_sorted, test/test_jit.py::TestScript::test_submodule_attribute_serialization, test/test_jit.py::TestScript::test_submodule_twice, test/test_jit.py::TestScript::test_sum, test/test_jit.py::TestScript::test_sum_list_diff_elms, test/test_jit.py::TestScript::test_sum_list_empty, test/test_jit.py::TestScript::test_sum_list_literal, test/test_jit.py::TestScript::test_sum_list_one, test/test_jit.py::TestScript::test_sum_list_wrong_type, test/test_jit.py::TestScript::test_sys_stdout_override, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_data, test/test_jit.py::TestScript::test_tensor_device, test/test_jit.py::TestScript::test_tensor_dtype, test/test_jit.py::TestScript::test_tensor_grad, test/test_jit.py::TestScript::test_tensor_import_export, test/test_jit.py::TestScript::test_tensor_len, test/test_jit.py::TestScript::test_tensor_number_math, test/test_jit.py::TestScript::test_tensor_number_math_cuda, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_shape, test/test_jit.py::TestScript::test_tensor_subclasses, 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test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_delta, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiheadAttention, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_zero_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_Softplus_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softsign_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanhshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Threshold_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer_multilayer_coder, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Unflatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version 2024-12-18T01:42:31.5034351Z 2024-12-18T01:42:35.2244820Z Running test_unary_ufuncs 1/1 ... [2024-12-18 01:42:35.224108] 2024-12-18T01:42:35.2245536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:42:35.2247781Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_unary_ufuncs.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'] ... [2024-12-18 01:42:35.224468] 2024-12-18T01:47:21.0394924Z 2024-12-18T01:47:21.0395868Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_e8ef4edd053877eb_.log 2024-12-18T01:47:21.1353422Z Running 2121 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_unary, test/functorch/test_vmap.py::TestVmapAPI::test_integer_in_dim_but_not_tensor_input_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs2, test/functorch/test_vmap.py::TestVmapAPI::test_nested_negative_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_diag_embed, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_same_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_default_in_dims_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_non_zero_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_none_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nonzero_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_noop_in_inner_vmap, test/functorch/test_vmap.py::TestVmapAPI::test_not_enough_in_dims_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dim_out_of_bounds_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_and_num_outputs_mismatch_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_edge_case, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_must_be_int_or_collection_of_int_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none_tuple, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_normal_tensor, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_odict_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_nested, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_simple, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_outdims, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_into, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_outof, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_no_vmapped_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_pytree_input_output, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_unexpanded_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_single_input, test/functorch/test_vmap.py::TestVmapAPI::test_unsupported_op_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cpu, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cuda, test/functorch/test_vmap.py::TestVmapOperators::test_T_numpy, test/functorch/test_vmap.py::TestVmapOperators::test_adaptive_avg_pool2d, test/functorch/test_vmap.py::TestVmapOperators::test_argmax_dim, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_as_strided, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_cat, test/functorch/test_vmap.py::TestVmapOperators::test_chunk, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_clamp, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_max_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_max, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_min, test/functorch/test_vmap.py::TestVmapOperators::test_clone, test/functorch/test_vmap.py::TestVmapOperators::test_comparison_ops, test/functorch/test_vmap.py::TestVmapOperators::test_conj, test/functorch/test_vmap.py::TestVmapOperators::test_conj_bit, test/functorch/test_vmap.py::TestVmapOperators::test_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_conv2d, test/functorch/test_vmap.py::TestVmapOperators::test_copy_, test/functorch/test_vmap.py::TestVmapOperators::test_cross_batch_size_three, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_dot, test/functorch/test_vmap.py::TestVmapOperators::test_expand_as, test/functorch/test_vmap.py::TestVmapOperators::test_fill_and_zero_inplace, test/functorch/test_vmap.py::TestVmapOperators::test_imag, test/functorch/test_vmap.py::TestVmapOperators::test_is_complex, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_is_floating_point, test/functorch/test_vmap.py::TestVmapOperators::test_mean, test/functorch/test_vmap.py::TestVmapOperators::test_mean_dim, test/functorch/test_vmap.py::TestVmapOperators::test_mm, test/functorch/test_vmap.py::TestVmapOperators::test_mode_key, test/functorch/test_vmap.py::TestVmapOperators::test_movedim, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_narrow, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty_strided, test/functorch/test_vmap.py::TestVmapOperators::test_new_zeros, test/functorch/test_vmap.py::TestVmapOperators::test_nll_loss, test/functorch/test_vmap.py::TestVmapOperators::test_one_hot, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_repeat, test/functorch/test_vmap.py::TestVmapOperators::test_reshape, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_result_type, test/functorch/test_vmap.py::TestVmapOperators::test_roll_no_dims, test/functorch/test_vmap.py::TestVmapOperators::test_select, test/functorch/test_vmap.py::TestVmapOperators::test_silu_backward, test/functorch/test_vmap.py::TestVmapOperators::test_slice, test/functorch/test_vmap.py::TestVmapOperators::test_slogdet, test/functorch/test_vmap.py::TestVmapOperators::test_split, test/functorch/test_vmap.py::TestVmapOperators::test_squeeze, test/functorch/test_vmap.py::TestVmapOperators::test_stack, test/functorch/test_vmap.py::TestVmapOperators::test_stride, test/functorch/test_vmap.py::TestVmapOperators::test_sum, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_t, test/functorch/test_vmap.py::TestVmapOperators::test_tensor_split, test/functorch/test_vmap.py::TestVmapOperators::test_to, test/functorch/test_vmap.py::TestVmapOperators::test_trace, test/functorch/test_vmap.py::TestVmapOperators::test_transpose, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_abs, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_acos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_asin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_atan, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_ceil, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cosh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_digamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_exp, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_expm1, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_floor, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_frac, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_lgamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log10, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log1p, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log2, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_neg, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_reciprocal, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_relu, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_round, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_rsqrt, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sigmoid, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sign, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sin, 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test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_0_randomness_error, 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test/functorch/test_vmap.py::TestVmapOperators::test_weird_matmul_case, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_advanced_indexing_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_False_affine_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_False_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_True_cpu, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCatCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyMulCustomOp_cpu_float32, 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test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_different_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_error_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_same_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sdpa_backend0_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_different_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_error_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_same_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_jacfwd_with_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_none_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_last_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok 2024-12-18T01:47:21.2302285Z 2024-12-18T01:47:24.5894378Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2024-12-18 01:47:24.589080] 2024-12-18T01:47:24.5895014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:47:24.5896810Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.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'] ... [2024-12-18 01:47:24.589443] 2024-12-18T01:47:28.2582462Z 2024-12-18T01:47:28.2583936Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_fb8173db1a6483fb_.log 2024-12-18T01:47:28.2590665Z Running 9 items in this shard: test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float2, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float3, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_odd_pad_amount, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_pad_2d, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_zeros, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_large_integers, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_pad_empty_dimension 2024-12-18T01:47:28.2595936Z 2024-12-18T01:47:31.9344046Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2024-12-18 01:47:31.934070] 2024-12-18T01:47:31.9344641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:47:31.9346236Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.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'] ... [2024-12-18 01:47:31.934398] 2024-12-18T01:47:35.6551635Z 2024-12-18T01:47:35.6552913Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_acf7f1360175ffad_.log 2024-12-18T01:47:35.6564720Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal 2024-12-18T01:47:35.6575670Z 2024-12-18T01:47:39.2434526Z Running test_jit_autocast 1/1 ... [2024-12-18 01:47:39.243104] 2024-12-18T01:47:39.2435189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:47:39.2436683Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_jit_autocast.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'] ... [2024-12-18 01:47:39.243418] 2024-12-18T01:47:54.7821394Z 2024-12-18T01:47:54.7822834Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_67d3867fa0fdb305_.log 2024-12-18T01:47:54.7854648Z Running 54 items in this shard: test/test_jit_autocast.py::TestAutocast::test_autocast_api, test/test_jit_autocast.py::TestAutocast::test_autocast_api_not_supported, test/test_jit_autocast.py::TestAutocast::test_autocast_autodiff, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator_outside_jit, test/test_jit_autocast.py::TestAutocast::test_autocast_mixed_dtypes, test/test_jit_autocast.py::TestAutocast::test_callees, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_off, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_on, test/test_jit_autocast.py::TestAutocast::test_conditional_autocast, test/test_jit_autocast.py::TestAutocast::test_control_flow, test/test_jit_autocast.py::TestAutocast::test_divergent_autocast, test/test_jit_autocast.py::TestAutocast::test_divergent_types, test/test_jit_autocast.py::TestAutocast::test_duplicate_inputs, test/test_jit_autocast.py::TestAutocast::test_eager_and_script, test/test_jit_autocast.py::TestAutocast::test_explicit_casts, test/test_jit_autocast.py::TestAutocast::test_fp32_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_policy_with_fp64, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_ignore_amp, test/test_jit_autocast.py::TestAutocast::test_implicitly_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_inplace, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_cpu, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_gpu, test/test_jit_autocast.py::TestAutocast::test_jit_call_method_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_executor_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_basic, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_constants, test/test_jit_autocast.py::TestAutocast::test_jit_generic_autocast, test/test_jit_autocast.py::TestAutocast::test_linear_bf16, test/test_jit_autocast.py::TestAutocast::test_minimal, test/test_jit_autocast.py::TestAutocast::test_minimal_cpu, test/test_jit_autocast.py::TestAutocast::test_minimal_off, test/test_jit_autocast.py::TestAutocast::test_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_promote_policy, test/test_jit_autocast.py::TestAutocast::test_promote_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_reused_autocast, test/test_jit_autocast.py::TestAutocast::test_reused_autocast_expr, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state_expr, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing_with_autocast, test/test_jit_autocast.py::TestAutocast::test_script_module, test/test_jit_autocast.py::TestAutocast::test_tracing_and_script, test/test_jit_autocast.py::TestAutocast::test_tracing_with_autocast_and_script, test/test_jit_autocast.py::TestJitTraceAutocast::test_cat_promote, test/test_jit_autocast.py::TestJitTraceAutocast::test_generate_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nchw_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nhwc_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cpu, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cuda, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_enable_and_check, test/test_jit_autocast.py::TestJitTraceAutocast::test_scripted_aliasing 2024-12-18T01:47:54.7883237Z 2024-12-18T01:47:59.1926653Z Running test_type_promotion 1/1 ... [2024-12-18 01:47:59.192277] 2024-12-18T01:47:59.1927441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:47:59.1929898Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_type_promotion.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'] ... [2024-12-18 01:47:59.192703] 2024-12-18T01:48:06.2671956Z 2024-12-18T01:48:06.2673276Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_0a3e6fa193293662_.log 2024-12-18T01:48:06.2983126Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_comparison_ops_with_type_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_assertraises_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_half_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_scalar_mult_tensor_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_computation_ignores_out_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_create_bool_tensors_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int8, 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test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int32, 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test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_sub_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_ternary_out_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_transpose_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu 2024-12-18T01:48:06.3292873Z 2024-12-18T01:48:11.4175146Z Running test_dataloader 1/1 ... [2024-12-18 01:48:11.416962] 2024-12-18T01:48:11.4175847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:48:11.4178858Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_dataloader.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'] ... [2024-12-18 01:48:11.417470] 2024-12-18T01:50:31.4525327Z 2024-12-18T01:50:31.4526722Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_89463ea11ae08f59_.log 2024-12-18T01:50:33.2526691Z Running 24601 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_big_number_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_asinh_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_assert_raises_cpu, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_scaled_modified_bessel_k1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_special_spherical_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_sqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_square_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_unary_out_op_mem_overlap_cpu_float64 2024-12-18T01:50:35.0243999Z 2024-12-18T01:50:36.6430046Z Running test_quantization 1/2 ... [2024-12-18 01:50:36.642433] 2024-12-18T01:50:36.6430823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:50:36.6432745Z Executing ['/opt/conda/envs/py_3.12/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2024-12-18 01:50:36.642863] 2024-12-18T01:52:05.6682292Z 2024-12-18T01:52:05.6683554Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_616f18baef1cd871_.log 2024-12-18T01:52:05.6765088Z Running 182 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_incomplete_fractional_splits, test/test_dataloader.py::TestDatasetRandomSplit::test_lengths_must_equal_dataset_size, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_dataset, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_subset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_are_mutually_exclusive, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_generator, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_have_correct_size, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_indexing_type, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_reproducibility, test/test_dataloader.py::TestTensorDataset::test_getitem, test/test_dataloader.py::TestTensorDataset::test_getitem_1d, test/test_dataloader.py::TestTensorDataset::test_len, test/test_dataloader.py::TestTensorDataset::test_many_tensors, test/test_dataloader.py::TestTensorDataset::test_single_tensor, test/test_dataloader.py::TestStackDataset::test_empty, test/test_dataloader.py::TestStackDataset::test_getitem, test/test_dataloader.py::TestStackDataset::test_getitems, test/test_dataloader.py::TestStackDataset::test_getitems_raises_index_error, test/test_dataloader.py::TestStackDataset::test_getitems_value_error, test/test_dataloader.py::TestStackDataset::test_len, test/test_dataloader.py::TestStackDataset::test_mixed, test/test_dataloader.py::TestStackDataset::test_single, test/test_dataloader.py::TestStackDataset::test_size_mismatch, test/test_dataloader.py::TestConcatDataset::test_add_dataset, test/test_dataloader.py::TestConcatDataset::test_concat_raises_index_error, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons_with_empty, test/test_dataloader.py::TestConcatDataset::test_concat_two_singletons, test/test_dataloader.py::TestConcatDataset::test_iterable_dataset_err, test/test_dataloader.py::TestDataLoader::test_batch_sampler, test/test_dataloader.py::TestDataLoader::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoader::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoader::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoader::test_default_collate_dtype, test/test_dataloader.py::TestDataLoader::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoader::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoader::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoader::test_error, test/test_dataloader.py::TestDataLoader::test_error_in_init, test/test_dataloader.py::TestDataLoader::test_error_workers, test/test_dataloader.py::TestDataLoader::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoader::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoader::test_get_worker_info, test/test_dataloader.py::TestDataLoader::test_growing_dataset, test/test_dataloader.py::TestDataLoader::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoader::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoader::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_iterabledataset_len, test/test_dataloader.py::TestDataLoader::test_large_sampler_indices, test/test_dataloader.py::TestDataLoader::test_len, test/test_dataloader.py::TestDataLoader::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoader::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoader::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoader::test_no_segfault, test/test_dataloader.py::TestDataLoader::test_numpy, test/test_dataloader.py::TestDataLoader::test_numpy_gen_state, test/test_dataloader.py::TestDataLoader::test_numpy_scalars, test/test_dataloader.py::TestDataLoader::test_partial_workers, test/test_dataloader.py::TestDataLoader::test_proper_exit, test/test_dataloader.py::TestDataLoader::test_random_sampler, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoader::test_sampler, test/test_dataloader.py::TestDataLoader::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoader::test_segfault, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoader::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoader::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoader::test_sequential_workers, test/test_dataloader.py::TestDataLoader::test_shuffle, test/test_dataloader.py::TestDataLoader::test_shuffle_batch, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoader::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoader::test_shuffle_workers, test/test_dataloader.py::TestDataLoader::test_timeout, test/test_dataloader.py::TestDataLoader::test_typing, test/test_dataloader.py::TestDataLoader::test_worker_init_fn, test/test_dataloader.py::TestDataLoader::test_worker_seed, test/test_dataloader.py::TestDataLoader::test_worker_seed_reproducibility, test/test_dataloader.py::IntegrationTestDataLoaderDataPipe::test_shuffler_iterdatapipe, test/test_dataloader.py::TestStringDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_device, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_with_only_device, test/test_dataloader.py::TestDictDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_batch_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_dataset_not_reset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_dtype, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_early_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_in_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_get_worker_info, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_growing_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterabledataset_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_large_sampler_indices, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_no_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_gen_state, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_scalars, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_partial_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_proper_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_timeout, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_typing, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed_reproducibility, test/test_dataloader.py::TestNamedTupleDataLoader::test_dataloader_with_namedtuple, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin_worker, test/test_dataloader.py::TestIndividualWorkerQueue::test_ind_worker_queue, test/test_dataloader.py::TestSetAffinity::test_set_affinity_in_worker_init, test/test_dataloader.py::TestConvAfterFork::test_conv_after_fork, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_iterable_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_iterable_ds, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_forkserver_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_spawn_cpu 2024-12-18T01:52:05.6846943Z 2024-12-18T01:54:31.1669799Z 2024-12-18T01:54:31.1670661Z test_meta 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.3_bd9b8f9a27a87a03_.log 2024-12-18T01:54:31.6284667Z Running 13572 items in this shard: test/test_meta.py::TestMetaConverter::test_channels_last, test/test_meta.py::TestMetaConverter::test_channels_last_leaf, test/test_meta.py::TestMetaConverter::test_channels_last_non_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf, test/test_meta.py::TestMetaConverter::test_view_dtype, test/test_meta.py::TestMetaConverter::test_view_mutate, test/test_meta.py::TestMetaConverter::test_view_of_non_leaf, test/test_meta.py::TestMetaConverter::test_weakref, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask2_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___radd___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rpow___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rsub___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_heaviside_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_nextafter_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_special_xlog1py_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_special_zeta_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_sub_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmm_decomposed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmm_decomposed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmm_decomposed_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_alias_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_alias_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_angle_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argmax_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atleast_1d_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cauchy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cauchy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_min_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clone_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_column_stack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_combinations_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_conj_physical_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_constant_pad_nd_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_contiguous_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_corrcoef_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_corrcoef_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_corrcoef_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_corrcoef_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cosh_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummin_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_double_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_einsum_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erf_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_erfinv_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exp_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expand_copy_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_expm1_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_exponential_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_eye_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fft_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_fftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_hfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifft_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ifftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_ihfft_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_eigvalsh_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_householder_product_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_inv_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_ldl_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lstsq_grad_oriented_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_matrix_rank_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_multi_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_hermitian_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_slogdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_slogdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_linalg_svd_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_mean_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_norm_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_erfc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_exp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_exp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_expm1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_expm1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_expm1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_expm1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_floor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_floor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_floor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_floor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_floor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_frac_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lerp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lerp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lerp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_lgamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log10_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log1p_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log1p_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log1p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log1p_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_log_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_max_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_minimum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_mul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_neg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_pow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_rsqrt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sigmoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_trunc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fmod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_frexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_full_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gather_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_gcd_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ge_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ge_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_geometric_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_geqrf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_geqrf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_gradient_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_grid_sampler_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_gt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_half_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_heaviside_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_heaviside_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_heaviside_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_histc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_histc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_histogram_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_hsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_hstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_hypot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_i0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_igamma_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_index_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_put_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_index_reduce_mean_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_pool2d_with_indices_backward_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nan_to_num_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_narrow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_batch_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_dropout_backward_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_native_layer_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ne_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_empty_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_full_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_full_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_full_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_full_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_ones_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_new_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nextafter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nextafter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_outer_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polar_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_neg_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sgn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_short_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sigmoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_bartlett_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_bartlett_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_cosine_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_hamming_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_hann_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signal_windows_kaiser_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_signbit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_slice_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_softmax_with_dtype_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_uniform_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_consecutive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_where_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_zero__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_zeros_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_tanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_trunc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_zero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_zero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_zero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__native_batch_norm_legit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__native_batch_norm_legit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__segment_reduce_lengths_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__segment_reduce_offsets_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__segment_reduce_offsets_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__softmax_backward_data_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__unsafe_masked_index_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_combinations_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_constant_pad_nd_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_contiguous_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_corrcoef_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_count_nonzero_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cumulative_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diag_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_digamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_trunc_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_double_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_dstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_einsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_empty_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_binary_return_by_ref_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_jiterator_unary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_kron_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_kron_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_kron_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_kthvalue_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_kthvalue_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_kthvalue_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lcm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_ldexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_le_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_le_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_le_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_le_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lerp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lerp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lerp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lgamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cholesky_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cond_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cond_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_det_singular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eig_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eig_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eig_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_grad_oriented_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_rank_hermitian_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_slogdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svd_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_svd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_tensorinv_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_log2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_normal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_log_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logcumsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_conv_transpose3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_cosine_embedding_loss_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_fractional_max_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_gaussian_nll_loss_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_gelu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_gelu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_group_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardshrink_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardsigmoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardsigmoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardswish_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_hardtanh_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_nearest_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_interpolate_trilinear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_kl_div_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_l1_loss_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_l1_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_layer_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_leaky_relu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_linear_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_linear_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_linear_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_linear_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_linear_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_local_response_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_logsigmoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_margin_ranking_loss_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_margin_ranking_loss_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_margin_ranking_loss_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_margin_ranking_loss_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_max_pool3d_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pad_replicate_negative_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pairwise_distance_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nn_functional_pixel_shuffle_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_triangular_solve_out_cpu 2024-12-18T01:54:32.0737018Z 2024-12-18T01:58:11.6200674Z 2024-12-18T01:58:11.6201633Z test_quantization 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.2_3afd2248b0ceb09e_.log 2024-12-18T01:58:11.6389062Z Running 571 items in this shard: test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_group_norm, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qhardsigmoid, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_bfp16_quantize, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_reshape, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestQuantizedTensor::test_repeat, test/test_quantization.py::TestFakeQuantize::test_quant_min_max_override, test/test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams, test/test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity, test/test_quantization.py::TestObserver::test_observer_scriptable, test/test_quantization.py::TestObserver::test_per_channel_observers, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module, test/test_quantization.py::TestBackendConfig::test_backend_config_to_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestBackendConfig::test_dtype_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_ptdq, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_ptsq, test/test_quantization.py::TestQuantizationDocs::test_quantization_doc_qat, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu, test/test_quantization.py::TestBiasCorrectionEager::test_conv_chain, test/test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend, test/test_quantization.py::TestFuseFx::test_fuse_module_relu, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode, test/test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_qconfig_fused_module, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant, test/test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer, test/test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias, test/test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops, test/test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_linear_reference, test/test_quantization.py::TestQuantizeFx::test_conv_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_custom_module_class, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global, test/test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses, test/test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_fp32_sum, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config, test/test_quantization.py::TestQuantizeFx::test_linear_shape_view, test/test_quantization.py::TestQuantizeFx::test_linear_size_view, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args, test/test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config, test/test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node, test/test_quantization.py::TestQuantizeFx::test_non_traceable_module, test/test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name, test/test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_and_script, test/test_quantization.py::TestQuantizeFx::test_qat_prepare_device_affinity, test/test_quantization.py::TestQuantizeFx::test_qat_skip_untraced, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_func, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_ref_conv_module, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, test/test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_sequential, test/test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_static_lstm, test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, test/test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_bmm, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, test/test_quantization.py::TestQuantizeFxOps::test_clamp, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeFxOps::test_embedding_bag, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_qint8, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig, test/test_quantization.py::TestQuantizeFxOps::test_float_functional, test/test_quantization.py::TestQuantizeFxOps::test_functional_conv, test/test_quantization.py::TestQuantizeFxOps::test_functional_linear, test/test_quantization.py::TestQuantizeFxOps::test_gelu_reference, test/test_quantization.py::TestQuantizeFxOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeFxOps::test_general_value_ops, test/test_quantization.py::TestQuantizeFxOps::test_getitem, test/test_quantization.py::TestQuantizeFxOps::test_linear_module, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_qmatmul, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxOps::test_rnn_cell, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxOps::test_sub, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, test/test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic, test/test_quantization.py::TestQuantizeFxModels::test_torchvision, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, test/test_quantization.py::TestNumericDebugger::test_copy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential, test/test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestSerialization::test_per_channel_observer, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, test/test_quantization.py::TestQuantizeJitPasses::test_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2 2024-12-18T01:58:11.6572103Z 2024-12-18T01:58:13.0353116Z Uploading artifacts took 1.41 seconds 2024-12-18T01:58:15.8430681Z Running test batch 'tests to run' cost 7694.72 seconds 2024-12-18T01:58:16.6801876Z 2024-12-18T01:58:16.6802314Z real 128m19.529s 2024-12-18T01:58:16.6802617Z user 663m52.474s 2024-12-18T01:58:16.6802866Z sys 53m3.662s 2024-12-18T01:58:16.6803095Z + assert_git_not_dirty 2024-12-18T01:58:16.6803406Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-12-18T01:58:16.6803775Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-12-18T01:58:16.6807942Z ++ git status --porcelain 2024-12-18T01:58:16.6809103Z ++ grep -v '?? third_party' 2024-12-18T01:58:32.3777149Z ++ true 2024-12-18T01:58:32.3781413Z + git_status= 2024-12-18T01:58:32.3781666Z + [[ -n '' ]] 2024-12-18T01:58:32.3781896Z + test_aten 2024-12-18T01:58:32.3782157Z + echo 'Running ATen tests with pytorch lib' 2024-12-18T01:58:32.3782535Z Running ATen tests with pytorch lib 2024-12-18T01:58:32.3782842Z + [[ -n '' ]] 2024-12-18T01:58:32.3783091Z + echo 'Running test with the build folder' 2024-12-18T01:58:32.3783633Z Running test with the build folder 2024-12-18T01:58:32.3784014Z + TEST_BASE_DIR=build/bin 2024-12-18T01:58:32.3784513Z + ln -sf /opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libc10.so build/bin 2024-12-18T01:58:32.3806585Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libcaffe2*' build/bin 2024-12-18T01:58:32.3816377Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libmkldnn*' build/bin 2024-12-18T01:58:32.3825743Z + ln -sf '/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/lib/libnccl*' build/bin 2024-12-18T01:58:32.3837658Z + 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 2024-12-18T01:58:32.3844859Z + ls build/bin 2024-12-18T01:58:32.3885018Z BackoffTest cpu_generator_test 2024-12-18T01:58:32.3885583Z CMakeFiles cpu_profiling_allocator_test 2024-12-18T01:58:32.3886002Z CTestTestfile.cmake cpu_rng_test 2024-12-18T01:58:32.3886385Z CppSignature_test dispatch_key_set_test 2024-12-18T01:58:32.3886753Z Dict_test dlconvertor_test 2024-12-18T01:58:32.3887091Z Dimname_test example_allreduce 2024-12-18T01:58:32.3887595Z FileStoreTest extension_backend_test 2024-12-18T01:58:32.3887959Z HashStoreTest half_test 2024-12-18T01:58:32.3888298Z IListRef_test inline_container_test 2024-12-18T01:58:32.3888658Z KernelFunction_test ivalue_test 2024-12-18T01:58:32.3889022Z List_test kernel_function_legacy_test 2024-12-18T01:58:32.3889372Z Makefile kernel_function_test 2024-12-18T01:58:32.3889746Z MaybeOwned_test kernel_lambda_legacy_test 2024-12-18T01:58:32.3890140Z NamedTensor_test kernel_lambda_test 2024-12-18T01:58:32.3890554Z ProcessGroupGlooTest kernel_stackbased_test 2024-12-18T01:58:32.3890963Z StorageUtils_test lazy_tensor_test 2024-12-18T01:58:32.3891302Z TCPStoreTest legacy_vmap_test 2024-12-18T01:58:32.3891649Z aot_model_compiler_test libc10.so 2024-12-18T01:58:32.3891994Z apply_utils_test 'libcaffe2*' 2024-12-18T01:58:32.3892318Z atest 'libmkldnn*' 2024-12-18T01:58:32.3892623Z backend_fallback_test 'libnccl*' 2024-12-18T01:58:32.3892937Z basic libtorch.so 2024-12-18T01:58:32.3893241Z broadcast_test libtorch_cpu.so 2024-12-18T01:58:32.3893610Z c10_ArrayRef_test libtorch_global_deps.so 2024-12-18T01:58:32.3893991Z c10_Bitset_test libtorch_python.so 2024-12-18T01:58:32.3894414Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2024-12-18T01:58:32.3894928Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2024-12-18T01:58:32.3895383Z c10_DeadlockDetection_test math_kernel_test 2024-12-18T01:58:32.3895809Z c10_DeviceGuard_test memory_format_test 2024-12-18T01:58:32.3896196Z c10_Device_test memory_overlapping_test 2024-12-18T01:58:32.3896607Z c10_DispatchKeySet_test mobile_memory_cleanup 2024-12-18T01:58:32.3896982Z c10_Half_test native_test 2024-12-18T01:58:32.3897342Z c10_InlineDeviceGuard_test op_allowlist_test 2024-12-18T01:58:32.3897758Z c10_InlineStreamGuard_test op_registration_test 2024-12-18T01:58:32.3898167Z c10_LeftRight_test operator_name_test 2024-12-18T01:58:32.3898545Z c10_Metaprogramming_test operators_test 2024-12-18T01:58:32.3898957Z c10_NetworkFlow_test packedtensoraccessor_test 2024-12-18T01:58:32.3899354Z c10_Scalar_test parallel_benchmark 2024-12-18T01:58:32.3899693Z c10_SizesAndStrides_test pow_test 2024-12-18T01:58:32.3900029Z c10_StreamGuard_test protoc 2024-12-18T01:58:32.3900445Z c10_SymInt_test protoc-3.13.0.0 2024-12-18T01:58:32.3900854Z c10_Synchronized_test quantized_test 2024-12-18T01:58:32.3901229Z c10_ThreadLocal_test reduce_ops_test 2024-12-18T01:58:32.3901604Z c10_TypeIndex_test reportMemoryUsage_test 2024-12-18T01:58:32.3901992Z c10_TypeList_test scalar_tensor_test 2024-12-18T01:58:32.3902346Z c10_TypeTraits_test scalar_test 2024-12-18T01:58:32.3902709Z c10_accumulate_test static_runtime_bench 2024-12-18T01:58:32.3903087Z c10_bfloat16_test static_runtime_test 2024-12-18T01:58:32.3903452Z c10_bit_cast_test stride_properties_test 2024-12-18T01:58:32.3903844Z c10_complex_math_test tensor_iterator_test 2024-12-18T01:58:32.3904207Z c10_complex_test test_api 2024-12-18T01:58:32.3904519Z c10_cow_test test_cpp_rpc 2024-12-18T01:58:32.3904843Z c10_error_test test_dist_autograd 2024-12-18T01:58:32.3905212Z c10_exception_test test_edge_op_registration 2024-12-18T01:58:32.3905585Z c10_flags_test test_jit 2024-12-18T01:58:32.3905933Z c10_generic_math_test test_lazy 2024-12-18T01:58:32.3906335Z c10_intrusive_ptr_benchmark test_mobile_nnc 2024-12-18T01:58:32.3906722Z c10_intrusive_ptr_test test_parallel 2024-12-18T01:58:32.3907066Z c10_irange_test test_tensorexpr 2024-12-18T01:58:32.3907408Z c10_lazy_test thread_init_test 2024-12-18T01:58:32.3907753Z c10_logging_test torch_shm_manager 2024-12-18T01:58:32.3908115Z c10_optional_test tutorial_tensorexpr 2024-12-18T01:58:32.3908510Z c10_ordered_preserving_dict_test type_ptr_test 2024-12-18T01:58:32.3908870Z c10_registry_test type_test 2024-12-18T01:58:32.3909225Z c10_small_vector_test undefined_tensor_test 2024-12-18T01:58:32.3909614Z c10_ssize_test vec_test_all_types_AVX2 2024-12-18T01:58:32.3910009Z c10_string_util_test vec_test_all_types_AVX512 2024-12-18T01:58:32.3910428Z c10_string_view_test vec_test_all_types_DEFAULT 2024-12-18T01:58:32.3910835Z c10_tempfile_test verify_api_visibility 2024-12-18T01:58:32.3911190Z c10_typeid_test weakref_test 2024-12-18T01:58:32.3911521Z cmake_install.cmake wrapdim_test 2024-12-18T01:58:32.3911874Z cpu_allocator_test xla_tensor_test 2024-12-18T01:58:32.3912218Z + aten/tools/run_tests.sh build/bin 2024-12-18T01:58:32.3913283Z + set -e 2024-12-18T01:58:32.3916026Z ++ dirname aten/tools/run_tests.sh 2024-12-18T01:58:32.3940842Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2024-12-18T01:58:32.3941332Z + export CPP_TESTS_DIR=build/bin 2024-12-18T01:58:32.3941683Z + CPP_TESTS_DIR=build/bin 2024-12-18T01:58:32.3941963Z + VALGRIND=ON 2024-12-18T01:58:32.3943740Z + 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 2024-12-18T01:58:32.4970037Z /var/lib/jenkins/workspace/test/run_test.py:22: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-12-18T01:58:32.4970922Z import pkg_resources 2024-12-18T01:58:36.1258998Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=PhiMB7EP3187qvpKvnORewoK3InOIvX5 to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-12-18T01:58:36.1411868Z Found test times from artifacts 2024-12-18T01:58:36.2023805Z Found test times from artifacts 2024-12-18T01:58:36.2045369Z Running all tests 2024-12-18T01:58:36.2049735Z Running parallel tests on 3 processes 2024-12-18T01:58:36.2051159Z Name: tests to run (est. time: 0.0min) 2024-12-18T01:58:36.2051490Z Serial tests (0): 2024-12-18T01:58:36.2051776Z Parallel tests (19): 2024-12-18T01:58:36.2052247Z cpp/Dict_test 1/1 2024-12-18T01:58:36.2052570Z cpp/Dimname_test 1/1 2024-12-18T01:58:36.2052875Z cpp/NamedTensor_test 1/1 2024-12-18T01:58:36.2053178Z cpp/apply_utils_test 1/1 2024-12-18T01:58:36.2053462Z cpp/atest 1/1 2024-12-18T01:58:36.2053693Z cpp/basic 1/1 2024-12-18T01:58:36.2053969Z cpp/broadcast_test 1/1 2024-12-18T01:58:36.2054263Z cpp/cpu_generator_test 1/1 2024-12-18T01:58:36.2054552Z cpp/dlconvertor_test 1/1 2024-12-18T01:58:36.2054856Z cpp/extension_backend_test 1/1 2024-12-18T01:58:36.2055178Z cpp/lazy_tensor_test 1/1 2024-12-18T01:58:36.2055476Z cpp/legacy_vmap_test 1/1 2024-12-18T01:58:36.2055767Z cpp/native_test 1/1 2024-12-18T01:58:36.2056027Z cpp/operators_test 1/1 2024-12-18T01:58:36.2056319Z cpp/scalar_tensor_test 1/1 2024-12-18T01:58:36.2056610Z cpp/scalar_test 1/1 2024-12-18T01:58:36.2056891Z cpp/tensor_iterator_test 1/1 2024-12-18T01:58:36.2057208Z cpp/undefined_tensor_test 1/1 2024-12-18T01:58:36.2057509Z cpp/wrapdim_test 1/1 2024-12-18T01:58:36.2057858Z Name: excluded (est. time: 0.0min) 2024-12-18T01:58:36.2058409Z Serial tests (0): 2024-12-18T01:58:36.2058670Z Parallel tests (0): 2024-12-18T01:58:36.2105158Z Running cpp/Dict_test 1/1 ... [2024-12-18 01:58:36.210260] 2024-12-18T01:58:36.2105563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:36.2110010Z 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-144ecb5f6785938b.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:36.210734] 2024-12-18T01:58:38.1298997Z 2024-12-18T01:58:38.1300169Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_36def7dee8a96bea_.log 2024-12-18T01:58:38.1300896Z 2024-12-18T01:58:38.1301160Z Running cpp/Dimname_test 1/1 ... [2024-12-18 01:58:38.129945] 2024-12-18T01:58:38.1301567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:38.1306384Z 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-69e3fe59b95c1c96.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:38.130418] 2024-12-18T01:58:39.8981888Z 2024-12-18T01:58:39.8982774Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_c001be0cf3d264f2_.log 2024-12-18T01:58:39.8983427Z 2024-12-18T01:58:39.8983638Z Running cpp/NamedTensor_test 1/1 ... [2024-12-18 01:58:39.898064] 2024-12-18T01:58:39.8984074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:39.8986547Z 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-73386692dd12967d.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:39.898430] 2024-12-18T01:58:41.6154047Z 2024-12-18T01:58:41.6155020Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_b0c7c576f5cd9675_.log 2024-12-18T01:58:41.6155728Z 2024-12-18T01:58:41.6155936Z Running cpp/apply_utils_test 1/1 ... [2024-12-18 01:58:41.615256] 2024-12-18T01:58:41.6156445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:41.6157644Z 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-a0b99ce50fe7820f.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:41.615555] 2024-12-18T01:58:43.3325400Z 2024-12-18T01:58:43.3326367Z 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_4c326a673feb387c_.log 2024-12-18T01:58:43.3327027Z 2024-12-18T01:58:43.3327204Z Running cpp/atest 1/1 ... [2024-12-18 01:58:43.332388] 2024-12-18T01:58:43.3327816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:43.3329249Z 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-8dcd48e96eff4e13.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:43.332732] 2024-12-18T01:58:45.0997443Z 2024-12-18T01:58:45.0998285Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_7bb0e04b6ea29324_.log 2024-12-18T01:58:45.0998859Z 2024-12-18T01:58:45.0999040Z Running cpp/basic 1/1 ... [2024-12-18 01:58:45.099581] 2024-12-18T01:58:45.0999433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:45.1001177Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9863e94fc960140a.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:45.099914] 2024-12-18T01:58:46.8169013Z 2024-12-18T01:58:46.8170198Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_c194967390ab8a33_.log 2024-12-18T01:58:46.8170876Z 2024-12-18T01:58:46.8171085Z Running cpp/broadcast_test 1/1 ... [2024-12-18 01:58:46.816783] 2024-12-18T01:58:46.8171517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:46.8173324Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-45dd9decf770bc79.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:46.817106] 2024-12-18T01:58:48.5339169Z 2024-12-18T01:58:48.5340097Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_f1bdd498b4dc6801_.log 2024-12-18T01:58:48.5340764Z 2024-12-18T01:58:48.5340973Z Running cpp/cpu_generator_test 1/1 ... [2024-12-18 01:58:48.533711] 2024-12-18T01:58:48.5341449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:48.5342703Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a20978a24767f35c.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:48.534063] 2024-12-18T01:58:50.2508475Z 2024-12-18T01:58:50.2509362Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_8013d76f52a4a4ba_.log 2024-12-18T01:58:50.2510037Z 2024-12-18T01:58:50.2510266Z Running cpp/dlconvertor_test 1/1 ... [2024-12-18 01:58:50.250692] 2024-12-18T01:58:50.2510707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:50.2512354Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-602d3e781ee704fb.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:50.251040] 2024-12-18T01:58:51.9678047Z 2024-12-18T01:58:51.9679209Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_170086122fb37b6d_.log 2024-12-18T01:58:51.9679891Z 2024-12-18T01:58:51.9680119Z Running cpp/extension_backend_test 1/1 ... [2024-12-18 01:58:51.967613] 2024-12-18T01:58:51.9680580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:51.9682236Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9f7712d245f7a5ad.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:51.967955] 2024-12-18T01:58:53.6848303Z 2024-12-18T01:58:53.6849286Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_f28a9e3d9df7581c_.log 2024-12-18T01:58:53.6850007Z 2024-12-18T01:58:53.6850465Z Running cpp/lazy_tensor_test 1/1 ... [2024-12-18 01:58:53.684704] 2024-12-18T01:58:53.6850971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:53.6852405Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d994d4dfd4940242.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:53.685020] 2024-12-18T01:58:55.4020698Z 2024-12-18T01:58:55.4022018Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_42135e0ef3ad37e3_.log 2024-12-18T01:58:55.4022692Z 2024-12-18T01:58:55.4022905Z Running cpp/legacy_vmap_test 1/1 ... [2024-12-18 01:58:55.401914] 2024-12-18T01:58:55.4023341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:55.4025226Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-163292f7586d33df.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:55.402254] 2024-12-18T01:58:57.1191784Z 2024-12-18T01:58:57.1192687Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_2bdf91e335bd24bc_.log 2024-12-18T01:58:57.1193366Z 2024-12-18T01:58:57.1193547Z Running cpp/native_test 1/1 ... [2024-12-18 01:58:57.119034] 2024-12-18T01:58:57.1193958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:57.1195928Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-868f4c7b1fa12a69.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:57.119373] 2024-12-18T01:58:58.8363741Z 2024-12-18T01:58:58.8364831Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_75fdf4218aeb943f_.log 2024-12-18T01:58:58.8365466Z 2024-12-18T01:58:58.8365685Z Running cpp/operators_test 1/1 ... [2024-12-18 01:58:58.836230] 2024-12-18T01:58:58.8366111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:58:58.8368152Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-83ef8fd7df814c8f.xml', '-x', '--reruns=2'] ... [2024-12-18 01:58:58.836573] 2024-12-18T01:59:00.5534833Z 2024-12-18T01:59:00.5535756Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_ae18712260f04314_.log 2024-12-18T01:59:00.5536422Z 2024-12-18T01:59:00.5536632Z Running cpp/scalar_tensor_test 1/1 ... [2024-12-18 01:59:00.553341] 2024-12-18T01:59:00.5537077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:00.5539202Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-65722faff3c38241.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:00.553677] 2024-12-18T01:59:02.3205599Z 2024-12-18T01:59:02.3206626Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_6693b9237d83b0a9_.log 2024-12-18T01:59:02.3207322Z 2024-12-18T01:59:02.3207512Z Running cpp/scalar_test 1/1 ... [2024-12-18 01:59:02.320424] 2024-12-18T01:59:02.3207933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:02.3209579Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ab0864b55e228985.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:02.320758] 2024-12-18T01:59:04.0878127Z 2024-12-18T01:59:04.0879266Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_10a0d24b62013de2_.log 2024-12-18T01:59:04.0879982Z 2024-12-18T01:59:04.0880215Z Running cpp/tensor_iterator_test 1/1 ... [2024-12-18 01:59:04.087659] 2024-12-18T01:59:04.0880669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:04.0882396Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1e15b4ce42d86b37.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:04.088001] 2024-12-18T01:59:05.8549250Z 2024-12-18T01:59:05.8550712Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_d6e911462ae0a719_.log 2024-12-18T01:59:05.8551424Z 2024-12-18T01:59:05.8551653Z Running cpp/undefined_tensor_test 1/1 ... [2024-12-18 01:59:05.854721] 2024-12-18T01:59:05.8552313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:05.8553960Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-412215799a96fd2c.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:05.855068] 2024-12-18T01:59:07.6221976Z 2024-12-18T01:59:07.6223109Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_ce53570631b78de0_.log 2024-12-18T01:59:07.6223814Z 2024-12-18T01:59:07.6225257Z Running cpp/wrapdim_test 1/1 ... [2024-12-18 01:59:07.622037] 2024-12-18T01:59:07.6225731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:07.6226905Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-dc77db743fe5ff1d.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:07.622382] 2024-12-18T01:59:09.3895519Z 2024-12-18T01:59:09.3896663Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_94a350949401b17c_.log 2024-12-18T01:59:09.3897312Z 2024-12-18T01:59:09.3906114Z Running cpp/Dict_test 1/1 ... [2024-12-18 01:59:09.390372] 2024-12-18T01:59:09.3906551Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:09.3907385Z Running cpp/Dimname_test 1/1 ... [2024-12-18 01:59:09.390577] 2024-12-18T01:59:09.3907824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:09.3908244Z Running cpp/NamedTensor_test 1/1 ... [2024-12-18 01:59:09.390641] 2024-12-18T01:59:09.3908661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:09.3911089Z 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-c724c3010bda2567.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:09.390899] 2024-12-18T01:59:09.3913360Z 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-6cd6164cf6c3f7b4.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:09.391084] 2024-12-18T01:59:09.3915411Z 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-e2bdbeed460256bf.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:09.391143] 2024-12-18T01:59:12.1104731Z 2024-12-18T01:59:12.1106068Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_d23ed658c54092a8_.log 2024-12-18T01:59:12.1107257Z 2024-12-18T01:59:12.9117268Z 2024-12-18T01:59:12.9118525Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_6b5e6d9ed0f6317d_.log 2024-12-18T01:59:12.9119301Z 2024-12-18T01:59:15.9014163Z Running cpp/apply_utils_test 1/1 ... [2024-12-18 01:59:15.900974] 2024-12-18T01:59:15.9014941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:15.9017353Z 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-a79cfd387d2e014f.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:15.901418] 2024-12-18T01:59:16.6122417Z Running cpp/atest 1/1 ... [2024-12-18 01:59:16.611787] 2024-12-18T01:59:16.6122852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:16.6125167Z 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-09bbbdf3e2ea6d3b.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:16.612248] 2024-12-18T01:59:17.7701031Z 2024-12-18T01:59:17.7702592Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_ac745810ac966cfe_.log 2024-12-18T01:59:17.7703780Z 2024-12-18T01:59:18.6707582Z 2024-12-18T01:59:18.6708890Z 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_bbd829ba03e6298d_.log 2024-12-18T01:59:20.9336299Z 2024-12-18T01:59:20.9336318Z 2024-12-18T01:59:20.9337575Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_13c3b5b3349e9aee_.log 2024-12-18T01:59:20.9338554Z 2024-12-18T01:59:21.5194114Z Running cpp/basic 1/1 ... [2024-12-18 01:59:21.519079] 2024-12-18T01:59:21.5194555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:21.5197535Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0fd91a6997d6ce37.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:21.519513] 2024-12-18T01:59:22.4407901Z Running cpp/broadcast_test 1/1 ... [2024-12-18 01:59:22.440412] 2024-12-18T01:59:22.4408364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:22.4411044Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1f814462cf528a51.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:22.440834] 2024-12-18T01:59:24.1882656Z 2024-12-18T01:59:24.1883600Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_0177298c8cee93a7_.log 2024-12-18T01:59:24.1884167Z 2024-12-18T01:59:24.6163129Z Running cpp/cpu_generator_test 1/1 ... [2024-12-18 01:59:24.615905] 2024-12-18T01:59:24.6163867Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:24.6166518Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f85c72c1418c070f.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:24.616346] 2024-12-18T01:59:24.7090534Z 2024-12-18T01:59:24.7091468Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_df3821367a05a925_.log 2024-12-18T01:59:24.7092128Z 2024-12-18T01:59:27.8875177Z Running cpp/dlconvertor_test 1/1 ... [2024-12-18 01:59:27.887135] 2024-12-18T01:59:27.8876032Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:27.8878948Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2cc9450c54a1546d.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:27.887582] 2024-12-18T01:59:28.4243733Z Running cpp/extension_backend_test 1/1 ... [2024-12-18 01:59:28.423935] 2024-12-18T01:59:28.4244703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:28.4246834Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c94a6c18d901e24e.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:28.424391] 2024-12-18T01:59:28.7871677Z 2024-12-18T01:59:28.7872709Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_bc281a3f457563c3_.log 2024-12-18T01:59:28.7873458Z 2024-12-18T01:59:30.2058978Z 2024-12-18T01:59:30.2060044Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_ff12b5e24f1bb442_.log 2024-12-18T01:59:30.2060708Z 2024-12-18T01:59:30.6926096Z 2024-12-18T01:59:30.6927613Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_7436f64b3d1c6381_.log 2024-12-18T01:59:30.6929158Z 2024-12-18T01:59:32.6286832Z Running cpp/lazy_tensor_test 1/1 ... [2024-12-18 01:59:32.628309] 2024-12-18T01:59:32.6287298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:32.6289886Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e0a3ca891ec8c2fc.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:32.628727] 2024-12-18T01:59:33.8884280Z Running cpp/legacy_vmap_test 1/1 ... [2024-12-18 01:59:33.888040] 2024-12-18T01:59:33.8885109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:33.8888662Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9488f4d5cbf5e5a3.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:33.888514] 2024-12-18T01:59:34.2955546Z Running cpp/native_test 1/1 ... [2024-12-18 01:59:34.295131] 2024-12-18T01:59:34.2956367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:34.2959195Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a6c0e8034c7e46be.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:34.295553] 2024-12-18T01:59:34.8469684Z 2024-12-18T01:59:34.8470940Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_235f512798a9544c_.log 2024-12-18T01:59:34.8471741Z 2024-12-18T01:59:36.6140999Z 2024-12-18T01:59:36.6142227Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_e542c5b8757f43f7_.log 2024-12-18T01:59:36.6142850Z 2024-12-18T01:59:38.7684184Z Running cpp/operators_test 1/1 ... [2024-12-18 01:59:38.768013] 2024-12-18T01:59:38.7684687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:38.7687569Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5d42fd4f2350ba81.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:38.768461] 2024-12-18T01:59:38.8112312Z 2024-12-18T01:59:38.8113365Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_cbff69c9ad054d5c_.log 2024-12-18T01:59:38.8114081Z 2024-12-18T01:59:40.3062686Z Running cpp/scalar_tensor_test 1/1 ... [2024-12-18 01:59:40.305783] 2024-12-18T01:59:40.3063427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:40.3067083Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-16cfa26cafb08025.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:40.306326] 2024-12-18T01:59:41.3368416Z 2024-12-18T01:59:41.3369476Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_cc95f6d7c40d3a16_.log 2024-12-18T01:59:41.3370148Z 2024-12-18T01:59:42.4716598Z Running cpp/scalar_test 1/1 ... [2024-12-18 01:59:42.471261] 2024-12-18T01:59:42.4717341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:42.4720087Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8787547b7ca44a55.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:42.471705] 2024-12-18T01:59:42.5246755Z 2024-12-18T01:59:42.5254634Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_769af263ad75a6bc_.log 2024-12-18T01:59:42.5264904Z 2024-12-18T01:59:45.0288921Z Running cpp/tensor_iterator_test 1/1 ... [2024-12-18 01:59:45.028487] 2024-12-18T01:59:45.0289521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:45.0291210Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1f43c7de98eeaffb.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:45.028897] 2024-12-18T01:59:45.0899796Z 2024-12-18T01:59:45.0901067Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_d677f35394499bf8_.log 2024-12-18T01:59:45.0901993Z 2024-12-18T01:59:46.2828017Z Running cpp/undefined_tensor_test 1/1 ... [2024-12-18 01:59:46.282171] 2024-12-18T01:59:46.2829123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:46.2837864Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7414cf3b06c9a5b2.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:46.283308] 2024-12-18T01:59:48.4606064Z 2024-12-18T01:59:48.4607655Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_3e8d9df2a1054383_.log 2024-12-18T01:59:48.4608413Z 2024-12-18T01:59:48.7615454Z Running cpp/wrapdim_test 1/1 ... [2024-12-18 01:59:48.761186] 2024-12-18T01:59:48.7615945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T01:59:48.7619305Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d1a2b3df6cf0b65f.xml', '-x', '--reruns=2'] ... [2024-12-18 01:59:48.761621] 2024-12-18T01:59:50.9798702Z 2024-12-18T01:59:50.9799949Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_c7c2f0d157fb39fd_.log 2024-12-18T01:59:50.9800623Z 2024-12-18T01:59:55.3102611Z 2024-12-18T01:59:55.3103651Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_b286ec21691417f6_.log 2024-12-18T01:59:55.3104375Z 2024-12-18T01:59:56.0111488Z Running test batch 'tests to run' cost 79.81 seconds 2024-12-18T01:59:56.5815658Z + run_if_exists tensor_interop_test 2024-12-18T01:59:56.5816282Z + local test_name=tensor_interop_test 2024-12-18T01:59:56.5816690Z + [[ -x build/bin/tensor_interop_test ]] 2024-12-18T01:59:56.5817238Z + echo 'Warning: tensor_interop_test does not exist.' 2024-12-18T01:59:56.5817925Z Warning: tensor_interop_test does not exist. 2024-12-18T01:59:56.5818357Z + run_if_exists cudnn_test 2024-12-18T01:59:56.5818709Z + local test_name=cudnn_test 2024-12-18T01:59:56.5819041Z + [[ -x build/bin/cudnn_test ]] 2024-12-18T01:59:56.5819681Z + echo 'Warning: cudnn_test does not exist.' 2024-12-18T01:59:56.5820249Z Warning: cudnn_test does not exist. 2024-12-18T01:59:56.5820590Z + run_if_exists cuda_generator_test 2024-12-18T01:59:56.5820952Z + local test_name=cuda_generator_test 2024-12-18T01:59:56.5821287Z + [[ -x build/bin/cuda_generator_test ]] 2024-12-18T01:59:56.5821664Z + echo 'Warning: cuda_generator_test does not exist.' 2024-12-18T01:59:56.5822053Z Warning: cuda_generator_test does not exist. 2024-12-18T01:59:56.5822399Z + run_if_exists apply_test 2024-12-18T01:59:56.5822689Z + local test_name=apply_test 2024-12-18T01:59:56.5822984Z + [[ -x build/bin/apply_test ]] 2024-12-18T01:59:56.5823306Z + echo 'Warning: apply_test does not exist.' 2024-12-18T01:59:56.5823676Z Warning: apply_test does not exist. 2024-12-18T01:59:56.5823981Z + run_if_exists stream_test 2024-12-18T01:59:56.5824272Z + local test_name=stream_test 2024-12-18T01:59:56.5824572Z + [[ -x build/bin/stream_test ]] 2024-12-18T01:59:56.5824903Z + echo 'Warning: stream_test does not exist.' 2024-12-18T01:59:56.5825263Z Warning: stream_test does not exist. 2024-12-18T01:59:56.5825643Z + run_if_exists cuda_half_test 2024-12-18T01:59:56.5826000Z + local test_name=cuda_half_test 2024-12-18T01:59:56.5826305Z + [[ -x build/bin/cuda_half_test ]] 2024-12-18T01:59:56.5826651Z + echo 'Warning: cuda_half_test does not exist.' 2024-12-18T01:59:56.5827020Z Warning: cuda_half_test does not exist. 2024-12-18T01:59:56.5827346Z + run_if_exists cuda_vectorized_test 2024-12-18T01:59:56.5827681Z + local test_name=cuda_vectorized_test 2024-12-18T01:59:56.5828022Z + [[ -x build/bin/cuda_vectorized_test ]] 2024-12-18T01:59:56.5828412Z + echo 'Warning: cuda_vectorized_test does not exist.' 2024-12-18T01:59:56.5828820Z Warning: cuda_vectorized_test does not exist. 2024-12-18T01:59:56.5829175Z + run_if_exists cuda_distributions_test 2024-12-18T01:59:56.5829526Z + local test_name=cuda_distributions_test 2024-12-18T01:59:56.5829891Z + [[ -x build/bin/cuda_distributions_test ]] 2024-12-18T01:59:56.5830302Z + echo 'Warning: cuda_distributions_test does not exist.' 2024-12-18T01:59:56.5830739Z Warning: cuda_distributions_test does not exist. 2024-12-18T01:59:56.5831105Z + run_if_exists cuda_optional_test 2024-12-18T01:59:56.5831437Z + local test_name=cuda_optional_test 2024-12-18T01:59:56.5831770Z + [[ -x build/bin/cuda_optional_test ]] 2024-12-18T01:59:56.5832151Z + echo 'Warning: cuda_optional_test does not exist.' 2024-12-18T01:59:56.5832547Z Warning: cuda_optional_test does not exist. 2024-12-18T01:59:56.5832898Z + run_if_exists cuda_tensor_interop_test 2024-12-18T01:59:56.5833255Z + local test_name=cuda_tensor_interop_test 2024-12-18T01:59:56.5833619Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2024-12-18T01:59:56.5834029Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2024-12-18T01:59:56.5834466Z Warning: cuda_tensor_interop_test does not exist. 2024-12-18T01:59:56.5834827Z + run_if_exists cuda_complex_test 2024-12-18T01:59:56.5835147Z + local test_name=cuda_complex_test 2024-12-18T01:59:56.5835478Z + [[ -x build/bin/cuda_complex_test ]] 2024-12-18T01:59:56.5835843Z + echo 'Warning: cuda_complex_test does not exist.' 2024-12-18T01:59:56.5836230Z Warning: cuda_complex_test does not exist. 2024-12-18T01:59:56.5836565Z + run_if_exists cuda_complex_math_test 2024-12-18T01:59:56.5836897Z + local test_name=cuda_complex_math_test 2024-12-18T01:59:56.5837242Z + [[ -x build/bin/cuda_complex_math_test ]] 2024-12-18T01:59:56.5837635Z + echo 'Warning: cuda_complex_math_test does not exist.' 2024-12-18T01:59:56.5838051Z Warning: cuda_complex_math_test does not exist. 2024-12-18T01:59:56.5838405Z + run_if_exists cuda_cub_test 2024-12-18T01:59:56.5838691Z + local test_name=cuda_cub_test 2024-12-18T01:59:56.5838993Z + [[ -x build/bin/cuda_cub_test ]] 2024-12-18T01:59:56.5839338Z + echo 'Warning: cuda_cub_test does not exist.' 2024-12-18T01:59:56.5839702Z Warning: cuda_cub_test does not exist. 2024-12-18T01:59:56.5840038Z + run_if_exists cuda_atomic_ops_test 2024-12-18T01:59:56.5840355Z + local test_name=cuda_atomic_ops_test 2024-12-18T01:59:56.5840750Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2024-12-18T01:59:56.5841283Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2024-12-18T01:59:56.5841695Z Warning: cuda_atomic_ops_test does not exist. 2024-12-18T01:59:56.5842035Z + '[' ON == ON ']' 2024-12-18T01:59:56.5842725Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2024-12-18T01:59:56.6116828Z ==124036== Memcheck, a memory error detector 2024-12-18T01:59:56.6117317Z ==124036== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2024-12-18T01:59:56.6117903Z ==124036== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2024-12-18T01:59:56.6118427Z ==124036== Command: build/bin/basic --gtest_filter=-*CUDA 2024-12-18T01:59:56.6118800Z ==124036== 2024-12-18T01:59:57.1271601Z ==124036== Warning: set address range perms: large range [0x4a08000, 0x1548c000) (defined) 2024-12-18T02:00:24.8025356Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2024-12-18T02:00:24.8301964Z Note: Google Test filter = -*CUDA 2024-12-18T02:00:24.8348130Z [==========] Running 4 tests from 1 test suite. 2024-12-18T02:00:24.8375597Z [----------] Global test environment set-up. 2024-12-18T02:00:24.8446173Z [----------] 4 tests from BasicTest 2024-12-18T02:00:24.8470271Z [ RUN ] BasicTest.BasicTestCPU 2024-12-18T02:00:26.4690410Z 550 ms 2024-12-18T02:00:26.5523914Z 53 ms 2024-12-18T02:00:26.6253924Z 64 ms 2024-12-18T02:00:27.4050243Z [ OK ] BasicTest.BasicTestCPU (2555 ms) 2024-12-18T02:00:27.4059504Z [ RUN ] BasicTest.BasicTestHalfCPU 2024-12-18T02:00:27.5969296Z 147 ms 2024-12-18T02:00:27.6465818Z 45 ms 2024-12-18T02:00:27.7122508Z 63 ms 2024-12-18T02:00:27.7656906Z [ OK ] BasicTest.BasicTestHalfCPU (359 ms) 2024-12-18T02:00:27.7657352Z [ RUN ] BasicTest.FactoryMethodsTest 2024-12-18T02:00:27.8046403Z [ OK ] BasicTest.FactoryMethodsTest (38 ms) 2024-12-18T02:00:27.8046828Z [ RUN ] BasicTest.BasicStdTestCPU 2024-12-18T02:00:27.8881258Z Simple example: called once 2024-12-18T02:00:27.9790530Z throw: call_once will retry 2024-12-18T02:00:28.0209151Z throw: call_once will retry 2024-12-18T02:00:28.0215201Z Didn't throw, call_once will not attempt again 2024-12-18T02:00:28.0237095Z [ OK ] BasicTest.BasicStdTestCPU (219 ms) 2024-12-18T02:00:28.0260635Z [----------] 4 tests from BasicTest (3177 ms total) 2024-12-18T02:00:28.0260952Z 2024-12-18T02:00:28.0274292Z [----------] Global test environment tear-down 2024-12-18T02:00:28.0305562Z [==========] 4 tests from 1 test suite ran. (3203 ms total) 2024-12-18T02:00:28.0316159Z [ PASSED ] 4 tests. 2024-12-18T02:00:29.9045243Z ==124036== 2024-12-18T02:00:29.9048659Z ==124036== HEAP SUMMARY: 2024-12-18T02:00:29.9049026Z ==124036== in use at exit: 241,544 bytes in 3,998 blocks 2024-12-18T02:00:29.9049558Z ==124036== total heap usage: 740,945 allocs, 736,947 frees, 214,857,848 bytes allocated 2024-12-18T02:00:29.9050047Z ==124036== 2024-12-18T02:00:29.9418712Z ==124036== LEAK SUMMARY: 2024-12-18T02:00:29.9419082Z ==124036== definitely lost: 0 bytes in 0 blocks 2024-12-18T02:00:29.9419470Z ==124036== indirectly lost: 0 bytes in 0 blocks 2024-12-18T02:00:29.9419857Z ==124036== possibly lost: 0 bytes in 0 blocks 2024-12-18T02:00:29.9420253Z ==124036== still reachable: 241,544 bytes in 3,998 blocks 2024-12-18T02:00:29.9420671Z ==124036== suppressed: 0 bytes in 0 blocks 2024-12-18T02:00:29.9421143Z ==124036== Rerun with --leak-check=full to see details of leaked memory 2024-12-18T02:00:29.9421569Z ==124036== 2024-12-18T02:00:29.9421914Z ==124036== For lists of detected and suppressed errors, rerun with: -s 2024-12-18T02:00:29.9422464Z ==124036== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2024-12-18T02:00:29.9884453Z + [[ -x build/bin/tensor_interop_test ]] 2024-12-18T02:00:29.9886591Z + [[ -n '' ]] 2024-12-18T02:00:29.9886842Z + assert_git_not_dirty 2024-12-18T02:00:29.9887393Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-12-18T02:00:29.9887874Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-12-18T02:00:29.9892832Z ++ git status --porcelain 2024-12-18T02:00:29.9894055Z ++ grep -v '?? third_party' 2024-12-18T02:00:30.1811450Z ++ true 2024-12-18T02:00:30.1812419Z + git_status= 2024-12-18T02:00:30.1812708Z + [[ -n '' ]] 2024-12-18T02:00:30.1812988Z + test_libtorch 1 2024-12-18T02:00:30.1813295Z + local SHARD=1 2024-12-18T02:00:30.1813614Z + [[ default != \s\l\o\w ]] 2024-12-18T02:00:30.1813980Z + echo 'Testing libtorch' 2024-12-18T02:00:30.1814257Z Testing libtorch 2024-12-18T02:00:30.1815189Z + 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 2024-12-18T02:00:30.1824539Z + 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 2024-12-18T02:00:30.1833904Z + 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 2024-12-18T02:00:30.1843661Z + 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 2024-12-18T02:00:30.1853380Z + 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 2024-12-18T02:00:30.1864679Z + 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 2024-12-18T02:00:30.1873245Z + 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 2024-12-18T02:00:30.1881989Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-12-18T02:00:30.1882698Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/bin 2024-12-18T02:00:30.1883159Z + [[ -z 1 ]] 2024-12-18T02:00:30.1883386Z + [[ 1 == \1 ]] 2024-12-18T02:00:30.1883629Z + test_libtorch_api 2024-12-18T02:00:30.1883961Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-12-18T02:00:30.1884536Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2024-12-18T02:00:30.2362470Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2024-12-18T02:00:30.3215690Z Failed to download (trying next): 2024-12-18T02:00:30.3216068Z HTTP Error 403: Forbidden 2024-12-18T02:00:30.3216623Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2024-12-18T02:00:30.6606951Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2024-12-18T02:00:30.7317229Z Failed to download (trying next): 2024-12-18T02:00:30.7317586Z HTTP Error 403: Forbidden 2024-12-18T02:00:30.7318103Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2024-12-18T02:00:30.7590968Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2024-12-18T02:00:30.8294492Z Failed to download (trying next): 2024-12-18T02:00:30.8294832Z HTTP Error 403: Forbidden 2024-12-18T02:00:30.8295338Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2024-12-18T02:00:30.9219811Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2024-12-18T02:00:30.9938082Z Failed to download (trying next): 2024-12-18T02:00:30.9938458Z HTTP Error 403: Forbidden 2024-12-18T02:00:30.9939210Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2024-12-18T02:00:31.0340270Z + [[ linux-focal-py3.12-clang10 == *asan* ]] 2024-12-18T02:00:31.0340940Z + [[ linux-focal-py3.12-clang10 == *slow-gradcheck* ]] 2024-12-18T02:00:31.0341508Z + OMP_NUM_THREADS=2 2024-12-18T02:00:31.0342145Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2024-12-18T02:00:31.0343157Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2024-12-18T02:00:31.1356237Z /var/lib/jenkins/workspace/test/run_test.py:22: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-12-18T02:00:31.1357112Z import pkg_resources 2024-12-18T02:00:34.7022073Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=PhiMB7EP3187qvpKvnORewoK3InOIvX5 to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-12-18T02:00:34.7174087Z Found test times from artifacts 2024-12-18T02:00:34.7782210Z Found test times from artifacts 2024-12-18T02:00:34.7803064Z Running all tests 2024-12-18T02:00:34.7806492Z Running parallel tests on 3 processes 2024-12-18T02:00:34.7806976Z Name: tests to run (est. time: 0.0min) 2024-12-18T02:00:34.7807300Z Serial tests (0): 2024-12-18T02:00:34.7807557Z Parallel tests (1): 2024-12-18T02:00:34.7807822Z cpp/test_api 1/1 2024-12-18T02:00:34.7818272Z Name: excluded (est. time: 0.0min) 2024-12-18T02:00:34.7818847Z Serial tests (0): 2024-12-18T02:00:34.7819171Z Parallel tests (0): 2024-12-18T02:00:34.7860250Z Running cpp/test_api 1/1 ... [2024-12-18 02:00:34.785753] 2024-12-18T02:00:34.7860710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:00:34.7864408Z 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-8597f524873746c0.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2024-12-18 02:00:34.786192] 2024-12-18T02:00:37.1044681Z 2024-12-18T02:00:37.1046225Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_52d64a4cca9024d8_.log 2024-12-18T02:00:37.1047606Z 2024-12-18T02:00:37.6827522Z Running cpp/test_api 1/1 ... [2024-12-18 02:00:37.682451] 2024-12-18T02:00:37.6827967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:00:37.6831668Z 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-68f5f5a4c86d6b46.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2024-12-18 02:00:37.682910] 2024-12-18T02:03:03.6766963Z 2024-12-18T02:03:03.6767809Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_2022b8a1f4f742ef_.log 2024-12-18T02:03:03.6780288Z 2024-12-18T02:03:04.3680499Z Running test batch 'tests to run' cost 149.59 seconds 2024-12-18T02:03:04.9512823Z + python test/run_test.py --cpp --verbose -i cpp/test_tensorexpr 2024-12-18T02:03:05.0529206Z /var/lib/jenkins/workspace/test/run_test.py:22: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-12-18T02:03:05.0530111Z import pkg_resources 2024-12-18T02:03:08.7120294Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=PhiMB7EP3187qvpKvnORewoK3InOIvX5 to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-12-18T02:03:08.7273837Z Found test times from artifacts 2024-12-18T02:03:08.7884302Z Found test times from artifacts 2024-12-18T02:03:08.7905994Z Running all tests 2024-12-18T02:03:08.7909002Z Running parallel tests on 3 processes 2024-12-18T02:03:08.7909553Z Name: tests to run (est. time: 0.0min) 2024-12-18T02:03:08.7909928Z Serial tests (0): 2024-12-18T02:03:08.7910218Z Parallel tests (1): 2024-12-18T02:03:08.7911412Z cpp/test_tensorexpr 1/1 2024-12-18T02:03:08.7911980Z Name: excluded (est. time: 0.0min) 2024-12-18T02:03:08.7912383Z Serial tests (0): 2024-12-18T02:03:08.7912666Z Parallel tests (0): 2024-12-18T02:03:08.7959860Z Running cpp/test_tensorexpr 1/1 ... [2024-12-18 02:03:08.795739] 2024-12-18T02:03:08.7960312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:03:08.7964243Z 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-5e7fa33c89017957.xml', '-x', '--reruns=2'] ... [2024-12-18 02:03:08.796158] 2024-12-18T02:03:10.6134121Z 2024-12-18T02:03:10.6135069Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_6f1e81f93d9a6a2c_.log 2024-12-18T02:03:10.6135742Z 2024-12-18T02:03:11.8500817Z Running cpp/test_tensorexpr 1/1 ... [2024-12-18 02:03:11.849755] 2024-12-18T02:03:11.8501304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:03:11.8504617Z 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-6d2a3a284f7658e7.xml', '-x', '--reruns=2'] ... [2024-12-18 02:03:11.850191] 2024-12-18T02:05:07.0896017Z 2024-12-18T02:05:07.0897270Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_bd0650d6f21c5bbc_.log 2024-12-18T02:05:07.0906331Z 2024-12-18T02:05:07.7737467Z Running test batch 'tests to run' cost 118.98 seconds 2024-12-18T02:05:08.3637945Z + [[ linux-focal-py3.12-clang10 != *android* ]] 2024-12-18T02:05:08.3638619Z + [[ linux-focal-py3.12-clang10 != *cuda* ]] 2024-12-18T02:05:08.3639124Z + [[ linux-focal-py3.12-clang10 != *asan* ]] 2024-12-18T02:05:08.3639641Z + export CPP_TESTS_DIR=build/bin 2024-12-18T02:05:08.3640075Z + CPP_TESTS_DIR=build/bin 2024-12-18T02:05:08.3640688Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2024-12-18T02:05:08.4657158Z /var/lib/jenkins/workspace/test/run_test.py:22: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html 2024-12-18T02:05:08.4658182Z import pkg_resources 2024-12-18T02:05:12.1056830Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json?versionId=PhiMB7EP3187qvpKvnORewoK3InOIvX5 to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2024-12-18T02:05:12.1209707Z Found test times from artifacts 2024-12-18T02:05:12.1821796Z Found test times from artifacts 2024-12-18T02:05:12.1842878Z Running all tests 2024-12-18T02:05:12.1846116Z Running parallel tests on 3 processes 2024-12-18T02:05:12.1846638Z Name: tests to run (est. time: 0.0min) 2024-12-18T02:05:12.1846969Z Serial tests (0): 2024-12-18T02:05:12.1847231Z Parallel tests (1): 2024-12-18T02:05:12.1847531Z cpp/static_runtime_test 1/1 2024-12-18T02:05:12.1847833Z Name: excluded (est. time: 0.0min) 2024-12-18T02:05:12.1848149Z Serial tests (0): 2024-12-18T02:05:12.1848401Z Parallel tests (0): 2024-12-18T02:05:12.1900899Z Running cpp/static_runtime_test 1/1 ... [2024-12-18 02:05:12.189779] 2024-12-18T02:05:12.1901713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:05:12.1905139Z 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-aa19ac5260b86704.xml', '-x', '--reruns=2'] ... [2024-12-18 02:05:12.190191] 2024-12-18T02:05:14.0574648Z 2024-12-18T02:05:14.0575688Z 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_ce93b8c0c624877d_.log 2024-12-18T02:05:14.0576383Z 2024-12-18T02:05:15.2166467Z Running cpp/static_runtime_test 1/1 ... [2024-12-18 02:05:15.216325] 2024-12-18T02:05:15.2167262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2024-12-18T02:05:15.2170265Z 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-bdeb6e031a111ff3.xml', '-x', '--reruns=2'] ... [2024-12-18 02:05:15.216746] 2024-12-18T02:17:24.8035517Z 2024-12-18T02:17:24.8036520Z 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_1e95a38f59b450bb_.log 2024-12-18T02:17:24.8040090Z 2024-12-18T02:17:25.5112092Z Running test batch 'tests to run' cost 733.33 seconds 2024-12-18T02:17:26.0912482Z + [[ -z 1 ]] 2024-12-18T02:17:26.0912762Z + [[ 1 == \2 ]] 2024-12-18T02:17:26.0913011Z + assert_git_not_dirty 2024-12-18T02:17:26.0913317Z + [[ linux-focal-py3.12-clang10 != *rocm* ]] 2024-12-18T02:17:26.0913683Z + [[ linux-focal-py3.12-clang10 != *xla* ]] 2024-12-18T02:17:26.0917836Z ++ git status --porcelain 2024-12-18T02:17:26.0918897Z ++ grep -v '?? third_party' 2024-12-18T02:17:26.2841380Z ++ true 2024-12-18T02:17:26.2841890Z + git_status= 2024-12-18T02:17:26.2842201Z + [[ -n '' ]] 2024-12-18T02:17:26.2842763Z + [[ linux-focal-py3.12-clang10 == *xpu* ]] 2024-12-18T02:17:26.2843304Z + cleanup_workspace 2024-12-18T02:17:26.2843880Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2024-12-18T02:17:26.2844685Z sudo may print the following warning message that can be ignored. The chown command will still run. 2024-12-18T02:17:26.2845335Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2024-12-18T02:17:26.2845823Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2024-12-18T02:17:26.2846381Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2024-12-18T02:17:26.2846995Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2024-12-18T02:17:26.2847496Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2024-12-18T02:17:26.7635748Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@release/2.6 2024-12-18T02:17:26.7636277Z with: 2024-12-18T02:17:26.7636539Z benchmark-results-dir: test/test-reports 2024-12-18T02:17:26.7636880Z dry-run: false 2024-12-18T02:17:26.7637127Z schema-version: v3 2024-12-18T02:17:26.7637611Z github-token: *** 2024-12-18T02:17:26.7637860Z env: 2024-12-18T02:17:26.7638071Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:26.7638552Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:26.7639066Z ##[endgroup] 2024-12-18T02:17:26.7732562Z ##[group]Run set -eux 2024-12-18T02:17:26.7732843Z set -eux 2024-12-18T02:17:26.7733113Z python3 -mpip install boto3==1.35.33 2024-12-18T02:17:26.7742310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:26.7742713Z env: 2024-12-18T02:17:26.7742944Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:26.7743479Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:26.7744003Z ##[endgroup] 2024-12-18T02:17:26.7773300Z + python3 -mpip install boto3==1.35.33 2024-12-18T02:17:27.0601038Z Defaulting to user installation because normal site-packages is not writeable 2024-12-18T02:17:28.1500086Z Collecting boto3==1.35.33 2024-12-18T02:17:28.1866283Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2024-12-18T02:17:28.2472560Z Collecting s3transfer<0.11.0,>=0.10.0 2024-12-18T02:17:28.2510653Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2024-12-18T02:17:28.2558820Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2024-12-18T02:17:29.3640009Z Collecting botocore<1.36.0,>=1.35.33 2024-12-18T02:17:29.3679637Z Downloading botocore-1.35.83-py3-none-any.whl (13.3 MB) 2024-12-18T02:17:29.5776648Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2024-12-18T02:17:29.5785911Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2024-12-18T02:17:29.7718648Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2024-12-18T02:17:29.8546191Z Installing collected packages: botocore, s3transfer, boto3 2024-12-18T02:17:30.4203553Z Successfully installed boto3-1.35.33 botocore-1.35.83 s3transfer-0.10.4 2024-12-18T02:17:30.5191964Z ##[group]Run set -eux 2024-12-18T02:17:30.5192262Z set -eux 2024-12-18T02:17:30.5192492Z  2024-12-18T02:17:30.5192752Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2024-12-18T02:17:30.5193131Z  echo "Missing github-token input" 2024-12-18T02:17:30.5193480Z  exit 1 2024-12-18T02:17:30.5193719Z fi 2024-12-18T02:17:30.5199912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:30.5200304Z env: 2024-12-18T02:17:30.5200643Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:30.5201137Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:30.5202095Z GITHUB_TOKEN: *** 2024-12-18T02:17:30.5202353Z ##[endgroup] 2024-12-18T02:17:30.5225385Z + [[ -z *** ]] 2024-12-18T02:17:30.5275291Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2024-12-18T02:17:30.5275745Z with: 2024-12-18T02:17:30.5276109Z github-token: *** 2024-12-18T02:17:30.5276359Z env: 2024-12-18T02:17:30.5276586Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:30.5277054Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:30.5277568Z ##[endgroup] 2024-12-18T02:17:30.5312456Z ##[group]Run set -eux 2024-12-18T02:17:30.5312726Z set -eux 2024-12-18T02:17:30.5312955Z  2024-12-18T02:17:30.5313590Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2024-12-18T02:17:30.5319076Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:30.5319444Z env: 2024-12-18T02:17:30.5319658Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:30.5320121Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:30.5320848Z GITHUB_TOKEN: *** 2024-12-18T02:17:30.5321082Z ##[endgroup] 2024-12-18T02:17:30.5343942Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 12383255652 i-0667d3e1c026d2cb1 2024-12-18T02:17:33.6516896Z setting job-id=34566045704 2024-12-18T02:17:33.6517436Z setting job-name=linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-18T02:17:33.6634330Z ##[group]Run set -eux 2024-12-18T02:17:33.6634634Z set -eux 2024-12-18T02:17:33.6634888Z  2024-12-18T02:17:33.6635316Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2024-12-18T02:17:33.6635885Z  --schema-version "${SCHEMA_VERSION}" \ 2024-12-18T02:17:33.6636248Z  --repo "${REPO}" \ 2024-12-18T02:17:33.6636573Z  --head-branch "${HEAD_BRANCH}" \ 2024-12-18T02:17:33.6636926Z  --head-sha "${HEAD_SHA}" \ 2024-12-18T02:17:33.6637287Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2024-12-18T02:17:33.6637671Z  --run-attempt "${RUN_ATTEMPT}" \ 2024-12-18T02:17:33.6638007Z  --job-id "${JOB_ID}" \ 2024-12-18T02:17:33.6638329Z  --job-name "${JOB_NAME}" 2024-12-18T02:17:33.6644295Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.6644695Z env: 2024-12-18T02:17:33.6644936Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.6645428Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.6645944Z SCHEMA_VERSION: v3 2024-12-18T02:17:33.6646226Z REPO: pytorch/pytorch 2024-12-18T02:17:33.6646618Z HEAD_BRANCH: refs/heads/release/2.6 2024-12-18T02:17:33.6647001Z HEAD_SHA: 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 2024-12-18T02:17:33.6647372Z WORKFLOW_RUN_ID: 12383255652 2024-12-18T02:17:33.6647655Z RUN_ATTEMPT: 1 2024-12-18T02:17:33.6647906Z JOB_ID: 34566045704 2024-12-18T02:17:33.6648309Z JOB_NAME: linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge) 2024-12-18T02:17:33.6648767Z ##[endgroup] 2024-12-18T02:17:33.6673856Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/release/2.6/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/release/2.6 --head-sha 0cdf8b1d09254cfda66191d1bd01e3041c3c76f7 --workflow-id 12383255652 --run-attempt 1 --job-id 34566045704 --job-name 'linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge)' 2024-12-18T02:17:33.6993471Z ##[group]Run set -eux 2024-12-18T02:17:33.6993771Z set -eux 2024-12-18T02:17:33.6994021Z  2024-12-18T02:17:33.6994363Z # TODO (huydhn): Implement this part 2024-12-18T02:17:33.6994753Z echo "runners=[]" >> "${GITHUB_OUTPUT}" 2024-12-18T02:17:33.7000331Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.7000726Z env: 2024-12-18T02:17:33.7000955Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.7001437Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.7002055Z ##[endgroup] 2024-12-18T02:17:33.7024458Z + echo 'runners=[]' 2024-12-18T02:17:33.7049251Z ##[group]Run set -eux 2024-12-18T02:17:33.7049534Z set -eux 2024-12-18T02:17:33.7049763Z  2024-12-18T02:17:33.7050030Z # TODO (huydhn): Implement this part 2024-12-18T02:17:33.7050434Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2024-12-18T02:17:33.7055563Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.7056139Z env: 2024-12-18T02:17:33.7056384Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.7056885Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.7057422Z ##[endgroup] 2024-12-18T02:17:33.7078584Z + echo 'dependencies={}' 2024-12-18T02:17:33.7105597Z ##[group]Run set -eux 2024-12-18T02:17:33.7105936Z set -eux 2024-12-18T02:17:33.7106182Z  2024-12-18T02:17:33.7106463Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2024-12-18T02:17:33.7106923Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2024-12-18T02:17:33.7107417Z  # We don't want the job to fail if the directory doesn't exist 2024-12-18T02:17:33.7107825Z  exit 0 2024-12-18T02:17:33.7108063Z fi 2024-12-18T02:17:33.7108287Z  2024-12-18T02:17:33.7108539Z if [[ "${DRY_RUN}" == "true" ]]; then 2024-12-18T02:17:33.7109032Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2024-12-18T02:17:33.7109612Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2024-12-18T02:17:33.7110060Z  --metadata "${BENCHMARK_METADATA}" \ 2024-12-18T02:17:33.7110431Z  --runners "${RUNNER_INFO}" \ 2024-12-18T02:17:33.7110797Z  --dependencies "${DEPENDENCIES}" \ 2024-12-18T02:17:33.7111142Z  --dry-run 2024-12-18T02:17:33.7111392Z else 2024-12-18T02:17:33.7111786Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2024-12-18T02:17:33.7112353Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2024-12-18T02:17:33.7112792Z  --metadata "${BENCHMARK_METADATA}" \ 2024-12-18T02:17:33.7113157Z  --runners "${RUNNER_INFO}" \ 2024-12-18T02:17:33.7113506Z  --dependencies "${DEPENDENCIES}" 2024-12-18T02:17:33.7113839Z fi 2024-12-18T02:17:33.7118920Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.7119410Z env: 2024-12-18T02:17:33.7119641Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.7120126Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.7120672Z BENCHMARK_RESULTS_DIR: test/test-reports 2024-12-18T02:17:33.7121001Z DRY_RUN: false 2024-12-18T02:17:33.7122379Z BENCHMARK_METADATA: {"timestamp": 1734488253, "schema_version": "v3", "name": "linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/release/2.6", "head_sha": "0cdf8b1d09254cfda66191d1bd01e3041c3c76f7", "workflow_id": 12383255652, "run_attempt": 1, "job_id": 34566045704} 2024-12-18T02:17:33.7123741Z RUNNER_INFO: [] 2024-12-18T02:17:33.7123992Z DEPENDENCIES: {} 2024-12-18T02:17:33.7124242Z ##[endgroup] 2024-12-18T02:17:33.7145297Z + [[ ! -d test/test-reports ]] 2024-12-18T02:17:33.7145851Z + [[ false == \t\r\u\e ]] 2024-12-18T02:17:33.7148463Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/release/2.6/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1734488253, "schema_version": "v3", "name": "linux-focal-py3.12-clang10 / test (default, 1, 5, linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/release/2.6", "head_sha": "0cdf8b1d09254cfda66191d1bd01e3041c3c76f7", "workflow_id": 12383255652, "run_attempt": 1, "job_id": 34566045704}' --runners '[]' --dependencies '{}' 2024-12-18T02:17:33.8888658Z ##[group]Run cat test/**/*_toprint.log || true 2024-12-18T02:17:33.8889068Z cat test/**/*_toprint.log || true 2024-12-18T02:17:33.8894859Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.8895265Z env: 2024-12-18T02:17:33.8895495Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.8895981Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.8896502Z ##[endgroup] 2024-12-18T02:17:33.8963380Z cat: 'test/**/*_toprint.log': No such file or directory 2024-12-18T02:17:33.8997824Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2024-12-18T02:17:33.8998190Z kill "$MONITOR_SCRIPT_PID" 2024-12-18T02:17:33.9003707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:33.9004102Z env: 2024-12-18T02:17:33.9004334Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:33.9004820Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:33.9005355Z MONITOR_SCRIPT_PID: 40770 2024-12-18T02:17:33.9005626Z ##[endgroup] 2024-12-18T02:17:33.9150689Z Prepare all required actions 2024-12-18T02:17:33.9151132Z Getting action download info 2024-12-18T02:17:34.0740138Z Download action repository 'actions/upload-artifact@v4' (SHA:6f51ac03b9356f520e9adb1b1b7802705f340c2b) 2024-12-18T02:17:34.4417595Z ##[group]Run ./.github/actions/upload-test-artifacts 2024-12-18T02:17:34.4417982Z with: 2024-12-18T02:17:34.4418297Z file-suffix: test-default-1-5-linux.4xlarge_34566045704 2024-12-18T02:17:34.4418701Z s3-bucket: gha-artifacts 2024-12-18T02:17:34.4418989Z env: 2024-12-18T02:17:34.4419219Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.4419706Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.4420224Z ##[endgroup] 2024-12-18T02:17:34.4449845Z ##[group]Run # Remove any previous test jsons if they exist 2024-12-18T02:17:34.4450319Z # Remove any previous test jsons if they exist 2024-12-18T02:17:34.4450713Z rm -f test-jsons-*.zip 2024-12-18T02:17:34.4451191Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2024-12-18T02:17:34.4457028Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:34.4457410Z env: 2024-12-18T02:17:34.4457639Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.4458353Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.4458954Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_34566045704 2024-12-18T02:17:34.4459426Z ##[endgroup] 2024-12-18T02:17:34.4608485Z adding: test/test-reports/td_exclusions-3e642ba7a05e310902d0.json (deflated 82%) 2024-12-18T02:17:34.4609441Z adding: test/test-reports/td_exclusions-c33fb310fc194de7c34b.json (deflated 73%) 2024-12-18T02:17:34.4610321Z adding: test/test-reports/td_exclusions-05a4e60e1dae2f0808f4.json (deflated 18%) 2024-12-18T02:17:34.4611043Z adding: test/test-reports/td_exclusions-a5501f4c923c865e3c0b.json (deflated 16%) 2024-12-18T02:17:34.4612017Z adding: test/test-reports/td_exclusions-f5a88cf13970888d57c0.json (deflated 14%) 2024-12-18T02:17:34.4644144Z ##[group]Run # Remove any previous test reports if they exist 2024-12-18T02:17:34.4644640Z # Remove any previous test reports if they exist 2024-12-18T02:17:34.4645051Z rm -f test-reports-*.zip 2024-12-18T02:17:34.4645537Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2024-12-18T02:17:34.4651122Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:34.4651604Z env: 2024-12-18T02:17:34.4651838Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.4652321Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.4652910Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_34566045704 2024-12-18T02:17:34.4653271Z ##[endgroup] 2024-12-18T02:17:34.4794013Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-b8914e6a2e57cfcc.xml (deflated 96%) 2024-12-18T02:17:34.4795615Z adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-b43a3aa07e6f630a.xml (deflated 88%) 2024-12-18T02:17:34.4797531Z adding: test/test-reports/python-pytest/test_cpp_extensions_open_device_registration/test_cpp_extensions_open_device_registration-99b405afe12ed1bd.xml (deflated 80%) 2024-12-18T02:17:34.4860284Z adding: test/test-reports/python-pytest/test_utils/test_utils-bc86d4d5e8a26797.xml (deflated 96%) 2024-12-18T02:17:34.4861336Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-9d7ae92e54657c2e.xml (deflated 52%) 2024-12-18T02:17:34.4862565Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-48986a9ee806ceaf.xml (deflated 69%) 2024-12-18T02:17:34.4869383Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-bc036d8ca37bd618.xml (deflated 96%) 2024-12-18T02:17:34.4870479Z adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-7261e8a11623f4b4.xml (deflated 82%) 2024-12-18T02:17:34.4871520Z adding: 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test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-a98ade14ad1899c4.xml (deflated 89%) 2024-12-18T02:17:34.5723893Z adding: test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-ffd5cd7d2b72920e.xml (deflated 28%) 2024-12-18T02:17:34.5743768Z adding: test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-21b11982a3ca30d6.xml (deflated 97%) 2024-12-18T02:17:34.5744972Z adding: test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-9f795584353857fb.xml (deflated 28%) 2024-12-18T02:17:34.5746127Z adding: test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-7bf9af17268ad852.xml (deflated 80%) 2024-12-18T02:17:34.5747185Z adding: test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-38b4334a39a224e4.xml (deflated 28%) 2024-12-18T02:17:34.5757432Z adding: test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-bb684d7de5188d0a.xml (deflated 95%) 2024-12-18T02:17:34.5758513Z adding: test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-d4e8dff8607349a6.xml (deflated 28%) 2024-12-18T02:17:34.5759398Z adding: test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-1a2ab1b9762234ad.xml (deflated 72%) 2024-12-18T02:17:34.5760257Z adding: test/test-reports/python-pytest/test_meta/test_meta-a188ee79324ee126.xml (deflated 28%) 2024-12-18T02:17:34.5970521Z adding: test/test-reports/python-pytest/test_meta/test_meta-af0f82a2f81fad94.xml (deflated 96%) 2024-12-18T02:17:34.5971411Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-157550361fae8b98.xml (deflated 28%) 2024-12-18T02:17:34.6219912Z adding: test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-825be1e4297b5505.xml (deflated 97%) 2024-12-18T02:17:34.6221050Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-00b83db27c6a5b71.xml (deflated 28%) 2024-12-18T02:17:34.6222346Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-bcfc811e19849156.xml (deflated 78%) 2024-12-18T02:17:34.6223548Z adding: test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-1382872a80439d0f.xml (deflated 28%) 2024-12-18T02:17:34.6224936Z adding: test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-0e8f7be798c8749c.xml (deflated 91%) 2024-12-18T02:17:34.6225958Z adding: test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-690185071fd9e2f9.xml (deflated 28%) 2024-12-18T02:17:34.6226885Z adding: test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-abb5a62688ebbde7.xml (deflated 90%) 2024-12-18T02:17:34.6227844Z adding: test/test-reports/python-pytest/test_type_promotion/test_type_promotion-c1ab4b456e64b5a9.xml (deflated 28%) 2024-12-18T02:17:34.6228824Z adding: test/test-reports/python-pytest/test_type_promotion/test_type_promotion-7e535b9c42a9f08e.xml (deflated 96%) 2024-12-18T02:17:34.6229770Z adding: test/test-reports/python-pytest/test_dataloader/test_dataloader-716ed9ef626dd2df.xml (deflated 28%) 2024-12-18T02:17:34.6231808Z adding: test/test-reports/python-pytest/test_dataloader/test_dataloader-aa664745845dc763.xml (deflated 89%) 2024-12-18T02:17:34.6232739Z adding: test/test-reports/python-pytest/test_quantization/test_quantization-4a94ad2213c774d6.xml (deflated 28%) 2024-12-18T02:17:34.6272860Z adding: test/test-reports/python-pytest/test_quantization/test_quantization-27495c4ba8d3c3d0.xml (deflated 94%) 2024-12-18T02:17:34.6273762Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-144ecb5f6785938b.xml (deflated 29%) 2024-12-18T02:17:34.6274621Z adding: 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test/test-reports/python-pytest/test.run_test/test.run_test-bdeb6e031a111ff3.xml (deflated 90%) 2024-12-18T02:17:34.6318610Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20241218001242.xml (deflated 43%) 2024-12-18T02:17:34.6319687Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20241218001305.xml (deflated 43%) 2024-12-18T02:17:34.6383118Z ##[group]Run # Remove any previous usage logs if they exist 2024-12-18T02:17:34.6383605Z # Remove any previous usage logs if they exist 2024-12-18T02:17:34.6384002Z rm -f logs-*.zip 2024-12-18T02:17:34.6384493Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2024-12-18T02:17:34.6385056Z # so check to see if the file exists first 2024-12-18T02:17:34.6385428Z if [ -f 'usage_log.txt' ]; then 2024-12-18T02:17:34.6385812Z  zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' 2024-12-18T02:17:34.6386160Z fi 2024-12-18T02:17:34.6386541Z if find "test/test-reports" -name "*.log" 2>/dev/null | grep -q .; then 2024-12-18T02:17:34.6387221Z  zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' 2024-12-18T02:17:34.6387634Z fi 2024-12-18T02:17:34.6393263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:34.6393664Z env: 2024-12-18T02:17:34.6393882Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.6394368Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.6394964Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_34566045704 2024-12-18T02:17:34.6395347Z ##[endgroup] 2024-12-18T02:17:34.6666330Z adding: usage_log.txt (deflated 97%) 2024-12-18T02:17:34.6801174Z ##[group]Run # Remove any previous debugging artifacts if they exist 2024-12-18T02:17:34.6801833Z # Remove any previous debugging artifacts if they exist 2024-12-18T02:17:34.6802260Z rm -f debug-*.zip 2024-12-18T02:17:34.6802558Z if [ -d 'test/debug' ]; then 2024-12-18T02:17:34.6802947Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2024-12-18T02:17:34.6803304Z fi 2024-12-18T02:17:34.6808954Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:34.6809350Z env: 2024-12-18T02:17:34.6809581Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.6810066Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.6810662Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_34566045704 2024-12-18T02:17:34.6811139Z ##[endgroup] 2024-12-18T02:17:34.6911737Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-12-18T02:17:34.6912078Z with: 2024-12-18T02:17:34.6912300Z s3-bucket: gha-artifacts 2024-12-18T02:17:34.6912620Z s3-prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:34.6912973Z retention-days: 14 2024-12-18T02:17:34.6913232Z if-no-files-found: warn 2024-12-18T02:17:34.6913504Z path: test-jsons-*.zip 2024-12-18T02:17:34.6913755Z name: artifact 2024-12-18T02:17:34.6913977Z region: us-east-1 2024-12-18T02:17:34.6914203Z env: 2024-12-18T02:17:34.6914430Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:34.6914896Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:34.6915400Z ##[endgroup] 2024-12-18T02:17:35.0569099Z NOTE: s3-prefix specified, ignoring name parameter 2024-12-18T02:17:35.0569602Z With the provided path, there will be 1 file uploaded 2024-12-18T02:17:35.0570075Z Uploading to s3 prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:35.0609987Z Starting upload of test-jsons-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:35.1776847Z Finished upload of test-jsons-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:35.1967229Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-12-18T02:17:35.1967581Z with: 2024-12-18T02:17:35.1967807Z s3-bucket: gha-artifacts 2024-12-18T02:17:35.1968143Z s3-prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:35.1968510Z retention-days: 14 2024-12-18T02:17:35.1968779Z if-no-files-found: error 2024-12-18T02:17:35.1969092Z path: test-reports-*.zip 2024-12-18T02:17:35.1969358Z name: artifact 2024-12-18T02:17:35.1969604Z region: us-east-1 2024-12-18T02:17:35.1969849Z env: 2024-12-18T02:17:35.1970073Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:35.1970555Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:35.1971051Z ##[endgroup] 2024-12-18T02:17:35.5234078Z NOTE: s3-prefix specified, ignoring name parameter 2024-12-18T02:17:35.5234597Z With the provided path, there will be 1 file uploaded 2024-12-18T02:17:35.5235054Z Uploading to s3 prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:35.5274641Z Starting upload of test-reports-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:35.7655630Z Finished upload of test-reports-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:35.7845657Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-12-18T02:17:35.7846010Z with: 2024-12-18T02:17:35.7846389Z s3-bucket: gha-artifacts 2024-12-18T02:17:35.7846730Z s3-prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:35.7847099Z retention-days: 14 2024-12-18T02:17:35.7847365Z if-no-files-found: ignore 2024-12-18T02:17:35.7847650Z path: logs-*.zip 2024-12-18T02:17:35.7847884Z name: artifact 2024-12-18T02:17:35.7848125Z region: us-east-1 2024-12-18T02:17:35.7848363Z env: 2024-12-18T02:17:35.7848584Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:35.7849078Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:35.7849583Z ##[endgroup] 2024-12-18T02:17:36.1090724Z NOTE: s3-prefix specified, ignoring name parameter 2024-12-18T02:17:36.1091220Z With the provided path, there will be 1 file uploaded 2024-12-18T02:17:36.1091689Z Uploading to s3 prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:36.1130562Z Starting upload of logs-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:36.2779008Z Finished upload of logs-test-default-1-5-linux.4xlarge_34566045704.zip 2024-12-18T02:17:36.2966927Z ##[group]Run seemethere/upload-artifact-s3@v5 2024-12-18T02:17:36.2967287Z with: 2024-12-18T02:17:36.2967519Z s3-bucket: gha-artifacts 2024-12-18T02:17:36.2967864Z s3-prefix: pytorch/pytorch/12383255652/1/artifact 2024-12-18T02:17:36.2968232Z retention-days: 14 2024-12-18T02:17:36.2968505Z if-no-files-found: ignore 2024-12-18T02:17:36.2968793Z path: debug-*.zip 2024-12-18T02:17:36.2969118Z name: artifact 2024-12-18T02:17:36.2969376Z region: us-east-1 2024-12-18T02:17:36.2969625Z env: 2024-12-18T02:17:36.2969853Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:36.2970335Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:36.2970839Z ##[endgroup] 2024-12-18T02:17:36.6158380Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2024-12-18T02:17:36.6357344Z ##[group]Run # shellcheck disable=SC2156 2024-12-18T02:17:36.6357743Z # shellcheck disable=SC2156 2024-12-18T02:17:36.6358540Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2024-12-18T02:17:36.6364679Z shell: /usr/bin/bash -e {0} 2024-12-18T02:17:36.6364977Z env: 2024-12-18T02:17:36.6365211Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:36.6365702Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:36.6366216Z ##[endgroup] 2024-12-18T02:17:36.8648466Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@release/2.6 2024-12-18T02:17:36.8649033Z with: 2024-12-18T02:17:36.8649257Z env: 2024-12-18T02:17:36.8649472Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:36.8649959Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:36.8650473Z ##[endgroup] 2024-12-18T02:17:36.8687687Z ##[group]Run set -eou pipefail 2024-12-18T02:17:36.8688020Z set -eou pipefail 2024-12-18T02:17:36.8688301Z  2024-12-18T02:17:36.8688673Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2024-12-18T02:17:36.8689163Z for _ in $(seq 1440); do 2024-12-18T02:17:36.8689517Z  # Break if no ssh session exists anymore 2024-12-18T02:17:36.8689885Z  if [ "$(who)" = "" ]; then 2024-12-18T02:17:36.8690200Z  break 2024-12-18T02:17:36.8690438Z  fi 2024-12-18T02:17:36.8690728Z  echo "." 2024-12-18T02:17:36.8690993Z  sleep 5 2024-12-18T02:17:36.8691234Z done 2024-12-18T02:17:36.8696876Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:36.8697273Z env: 2024-12-18T02:17:36.8697509Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:36.8697993Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:36.8698495Z ##[endgroup] 2024-12-18T02:17:36.8720661Z Holding runner for 2 hours until all ssh sessions have logged out 2024-12-18T02:17:36.8828539Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2024-12-18T02:17:36.8829123Z # ignore expansion of "docker ps -q" since it could be empty 2024-12-18T02:17:36.8829569Z # shellcheck disable=SC2046 2024-12-18T02:17:36.8829906Z docker stop $(docker ps -q) || true 2024-12-18T02:17:36.8830271Z # Prune all of the docker images 2024-12-18T02:17:36.8830619Z docker system prune -af 2024-12-18T02:17:36.8836031Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:36.8836432Z env: 2024-12-18T02:17:36.8836664Z GIT_DEFAULT_BRANCH: main 2024-12-18T02:17:36.8837133Z DOCKER_CONTAINER_ID: 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 2024-12-18T02:17:36.8837650Z ##[endgroup] 2024-12-18T02:17:37.7281547Z 8f3336a23ff9 2024-12-18T02:17:39.0702001Z Deleted Containers: 2024-12-18T02:17:39.0702480Z 8f3336a23ff92fc7d94da9519b8c5c87deae4da30d1ed162590e676c889411e0 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overriding HOME='/home/ec2-user/actions-runner/_work/_temp/82d1dc11-c74f-4b51-978b-ed147138b69f' before making global git config changes 2024-12-18T02:17:42.3675459Z Adding repository directory to the temporary git global config as a safe directory 2024-12-18T02:17:42.3678350Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2024-12-18T02:17:42.3705984Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2024-12-18T02:17:42.3729498Z [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' || :" 2024-12-18T02:17:42.4029770Z Entering 'android/libs/fbjni' 2024-12-18T02:17:42.4080369Z Entering 'third_party/FP16' 2024-12-18T02:17:42.4131478Z Entering 'third_party/FXdiv' 2024-12-18T02:17:42.4182876Z Entering 'third_party/NNPACK' 2024-12-18T02:17:42.4233128Z Entering 'third_party/NVTX' 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Entering 'android/libs/fbjni' 2024-12-18T02:17:42.8113156Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8144750Z Entering 'third_party/FP16' 2024-12-18T02:17:42.8178669Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8208971Z Entering 'third_party/FXdiv' 2024-12-18T02:17:42.8244276Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8274934Z Entering 'third_party/NNPACK' 2024-12-18T02:17:42.8309047Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8340580Z Entering 'third_party/NVTX' 2024-12-18T02:17:42.8374346Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8405039Z Entering 'third_party/VulkanMemoryAllocator' 2024-12-18T02:17:42.8438366Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8469179Z Entering 'third_party/XNNPACK' 2024-12-18T02:17:42.8502600Z http.https://github.com/.extraheader 2024-12-18T02:17:42.8548031Z Entering 'third_party/benchmark' 2024-12-18T02:17:42.8582137Z http.https://github.com/.extraheader 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2024-12-18T02:17:42.9577593Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9608046Z Entering 'third_party/gloo' 2024-12-18T02:17:42.9642652Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9673521Z Entering 'third_party/googletest' 2024-12-18T02:17:42.9707636Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9738359Z Entering 'third_party/ideep' 2024-12-18T02:17:42.9773607Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9802843Z Entering 'third_party/ideep/mkl-dnn' 2024-12-18T02:17:42.9836235Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9875194Z Entering 'third_party/ittapi' 2024-12-18T02:17:42.9908928Z http.https://github.com/.extraheader 2024-12-18T02:17:42.9939890Z Entering 'third_party/kineto' 2024-12-18T02:17:42.9973978Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0004337Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2024-12-18T02:17:43.0038013Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0069525Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2024-12-18T02:17:43.0102634Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0134832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2024-12-18T02:17:43.0168848Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0199334Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2024-12-18T02:17:43.0232232Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0263657Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2024-12-18T02:17:43.0296453Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0326590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2024-12-18T02:17:43.0360729Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0393331Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2024-12-18T02:17:43.0427139Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0458228Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2024-12-18T02:17:43.0491191Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0522912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2024-12-18T02:17:43.0556309Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0589132Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2024-12-18T02:17:43.0623275Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0655985Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2024-12-18T02:17:43.0689640Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0719547Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2024-12-18T02:17:43.0752438Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0784507Z Entering 'third_party/mimalloc' 2024-12-18T02:17:43.0818457Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0849412Z Entering 'third_party/nccl/nccl' 2024-12-18T02:17:43.0886251Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0916182Z Entering 'third_party/nlohmann' 2024-12-18T02:17:43.0950111Z http.https://github.com/.extraheader 2024-12-18T02:17:43.0983668Z Entering 'third_party/onnx' 2024-12-18T02:17:43.1017203Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1063356Z Entering 'third_party/onnx/third_party/pybind11' 2024-12-18T02:17:43.1096929Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1129082Z Entering 'third_party/opentelemetry-cpp' 2024-12-18T02:17:43.1164799Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1196929Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2024-12-18T02:17:43.1230057Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1261041Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2024-12-18T02:17:43.1294474Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1324705Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2024-12-18T02:17:43.1358561Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1388704Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2024-12-18T02:17:43.1421786Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1453405Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2024-12-18T02:17:43.1486763Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1516479Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2024-12-18T02:17:43.1549858Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1580112Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2024-12-18T02:17:43.1613228Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1643512Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2024-12-18T02:17:43.1676445Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1708861Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2024-12-18T02:17:43.1742332Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1774309Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2024-12-18T02:17:43.1807291Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1857752Z Entering 'third_party/pocketfft' 2024-12-18T02:17:43.1893178Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1923104Z Entering 'third_party/protobuf' 2024-12-18T02:17:43.1957754Z http.https://github.com/.extraheader 2024-12-18T02:17:43.1991508Z Entering 'third_party/protobuf/third_party/benchmark' 2024-12-18T02:17:43.2025298Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2055433Z Entering 'third_party/protobuf/third_party/googletest' 2024-12-18T02:17:43.2088491Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2119783Z Entering 'third_party/psimd' 2024-12-18T02:17:43.2154574Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2185801Z Entering 'third_party/pthreadpool' 2024-12-18T02:17:43.2219828Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2249798Z Entering 'third_party/pybind11' 2024-12-18T02:17:43.2284833Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2314837Z Entering 'third_party/python-peachpy' 2024-12-18T02:17:43.2349583Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2379933Z Entering 'third_party/sleef' 2024-12-18T02:17:43.2413716Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2444114Z Entering 'third_party/tensorpipe' 2024-12-18T02:17:43.2478139Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2508277Z Entering 'third_party/tensorpipe/third_party/googletest' 2024-12-18T02:17:43.2541543Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2573252Z Entering 'third_party/tensorpipe/third_party/libnop' 2024-12-18T02:17:43.2607401Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2637003Z Entering 'third_party/tensorpipe/third_party/libuv' 2024-12-18T02:17:43.2669534Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2699566Z Entering 'third_party/tensorpipe/third_party/pybind11' 2024-12-18T02:17:43.2732503Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2763830Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2024-12-18T02:17:43.2796567Z http.https://github.com/.extraheader 2024-12-18T02:17:43.2904412Z A job completed hook has been configured by the self-hosted runner administrator 2024-12-18T02:17:43.2927741Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2024-12-18T02:17:43.2932768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2024-12-18T02:17:43.2933179Z ##[endgroup] 2024-12-18T02:17:50.0021231Z Cleaning up orphan processes